From 31dff4ffcdac793af438ee9944625784de1e2276 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 10:31:32 +0100
Subject: [PATCH 01/66] Remove mlab.logspace

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  7 +++++++
 lib/matplotlib/mlab.py                     |  9 ---------
 lib/matplotlib/tests/test_mlab.py          | 19 -------------------
 3 files changed, 7 insertions(+), 28 deletions(-)
 create mode 100644 doc/api/next_api_changes/2018-09-18-DS.rst

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
new file mode 100644
index 000000000000..58d16cc35465
--- /dev/null
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -0,0 +1,7 @@
+Removal of deprecated :mod:`matplotlib.mlab` code
+-------------------------------------------------
+
+Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
+in Matplotlib 2.2 has been removed. See below for a list:
+
+- `mlab.logspace`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index dd1e91cb0984..b23ef02b79c4 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -70,15 +70,6 @@
 import math
 
 
-@cbook.deprecated("2.2", alternative='numpy.logspace or numpy.geomspace')
-def logspace(xmin, xmax, N):
-    '''
-    Return N values logarithmically spaced between xmin and xmax.
-
-    '''
-    return np.exp(np.linspace(np.log(xmin), np.log(xmax), N))
-
-
 def window_hanning(x):
     '''
     Return x times the hanning window of len(x).
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index 827bd5d8745d..6a7e5f855f79 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -55,25 +55,6 @@ def test_prctile(input, percentile):
                         np.percentile(input, percentile))
 
 
-@pytest.mark.parametrize('xmin, xmax, N', [
-    (.01, 1000., 6),
-    (.03, 1313., 7),
-    (.03, 1313., 0),
-    (.03, 1313., 1),
-], ids=[
-    'tens',
-    'primes',
-    'none',
-    'single',
-])
-def test_logspace(xmin, xmax, N):
-    with pytest.warns(MatplotlibDeprecationWarning):
-        res = mlab.logspace(xmin, xmax, N)
-    targ = np.logspace(np.log10(xmin), np.log10(xmax), N)
-    assert_allclose(targ, res)
-    assert res.size == N
-
-
 class TestStride(object):
     def get_base(self, x):
         y = x

From 66f075e0f9c498b50aad197894b1b806bd6afa6f Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 11:14:20 +0100
Subject: [PATCH 02/66] Remove mlab.cohere_pairs

---
 doc/api/next_api_changes/2018-09-18-DS.rst |   4 +-
 lib/matplotlib/mlab.py                     | 163 ---------------------
 2 files changed, 3 insertions(+), 164 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 58d16cc35465..97d866b807f7 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -4,4 +4,6 @@ Removal of deprecated :mod:`matplotlib.mlab` code
 Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
 in Matplotlib 2.2 has been removed. See below for a list:
 
-- `mlab.logspace`
+- `mlab.logspace` (use numpy.logspace instead)
+- `mlab.cohere_pairs` (use scipy.signal.coherence instead)
+- `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index b23ef02b79c4..5634d614e6cc 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,169 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def donothing_callback(*args):
-    pass
-
-
-@cbook.deprecated('2.2', 'scipy.signal.coherence')
-def cohere_pairs(X, ij, NFFT=256, Fs=2, detrend=detrend_none,
-                 window=window_hanning, noverlap=0,
-                 preferSpeedOverMemory=True,
-                 progressCallback=donothing_callback,
-                 returnPxx=False):
-
-    """
-    Compute the coherence and phase for all pairs *ij*, in *X*.
-
-    *X* is a *numSamples* * *numCols* array
-
-    *ij* is a list of tuples.  Each tuple is a pair of indexes into
-    the columns of X for which you want to compute coherence.  For
-    example, if *X* has 64 columns, and you want to compute all
-    nonredundant pairs, define *ij* as::
-
-      ij = []
-      for i in range(64):
-          for j in range(i+1,64):
-              ij.append( (i,j) )
-
-    *preferSpeedOverMemory* is an optional bool. Defaults to true. If
-    False, limits the caching by only making one, rather than two,
-    complex cache arrays. This is useful if memory becomes critical.
-    Even when *preferSpeedOverMemory* is False, :func:`cohere_pairs`
-    will still give significant performance gains over calling
-    :func:`cohere` for each pair, and will use subtantially less
-    memory than if *preferSpeedOverMemory* is True.  In my tests with
-    a 43000,64 array over all nonredundant pairs,
-    *preferSpeedOverMemory* = True delivered a 33% performance boost
-    on a 1.7GHZ Athlon with 512MB RAM compared with
-    *preferSpeedOverMemory* = False.  But both solutions were more
-    than 10x faster than naively crunching all possible pairs through
-    :func:`cohere`.
-
-    Returns
-    -------
-    Cxy : dictionary of (*i*, *j*) tuples -> coherence vector for
-        that pair.  i.e., ``Cxy[(i,j) = cohere(X[:,i], X[:,j])``.
-        Number of dictionary keys is ``len(ij)``.
-
-    Phase : dictionary of phases of the cross spectral density at
-        each frequency for each pair.  Keys are (*i*, *j*).
-
-    freqs : vector of frequencies, equal in length to either the
-         coherence or phase vectors for any (*i*, *j*) key.
-
-    e.g., to make a coherence Bode plot::
-
-          subplot(211)
-          plot( freqs, Cxy[(12,19)])
-          subplot(212)
-          plot( freqs, Phase[(12,19)])
-
-    For a large number of pairs, :func:`cohere_pairs` can be much more
-    efficient than just calling :func:`cohere` for each pair, because
-    it caches most of the intensive computations.  If :math:`N` is the
-    number of pairs, this function is :math:`O(N)` for most of the
-    heavy lifting, whereas calling cohere for each pair is
-    :math:`O(N^2)`.  However, because of the caching, it is also more
-    memory intensive, making 2 additional complex arrays with
-    approximately the same number of elements as *X*.
-
-    See :file:`test/cohere_pairs_test.py` in the src tree for an
-    example script that shows that this :func:`cohere_pairs` and
-    :func:`cohere` give the same results for a given pair.
-
-    See Also
-    --------
-    :func:`psd`
-        For information about the methods used to compute :math:`P_{xy}`,
-        :math:`P_{xx}` and :math:`P_{yy}`.
-    """
-    numRows, numCols = X.shape
-
-    # zero pad if X is too short
-    if numRows < NFFT:
-        tmp = X
-        X = np.zeros((NFFT, numCols), X.dtype)
-        X[:numRows, :] = tmp
-        del tmp
-
-    numRows, numCols = X.shape
-    # get all the columns of X that we are interested in by checking
-    # the ij tuples
-    allColumns = set()
-    for i, j in ij:
-        allColumns.add(i)
-        allColumns.add(j)
-    Ncols = len(allColumns)
-
-    # for real X, ignore the negative frequencies
-    if np.iscomplexobj(X):
-        numFreqs = NFFT
-    else:
-        numFreqs = NFFT//2+1
-
-    # cache the FFT of every windowed, detrended NFFT length segment
-    # of every channel.  If preferSpeedOverMemory, cache the conjugate
-    # as well
-    if np.iterable(window):
-        if len(window) != NFFT:
-            raise ValueError("The length of the window must be equal to NFFT")
-        windowVals = window
-    else:
-        windowVals = window(np.ones(NFFT, X.dtype))
-    ind = list(range(0, numRows-NFFT+1, NFFT-noverlap))
-    numSlices = len(ind)
-    FFTSlices = {}
-    FFTConjSlices = {}
-    Pxx = {}
-    slices = range(numSlices)
-    normVal = np.linalg.norm(windowVals)**2
-    for iCol in allColumns:
-        progressCallback(i/Ncols, 'Cacheing FFTs')
-        Slices = np.zeros((numSlices, numFreqs), dtype=np.complex_)
-        for iSlice in slices:
-            thisSlice = X[ind[iSlice]:ind[iSlice]+NFFT, iCol]
-            thisSlice = windowVals*detrend(thisSlice)
-            Slices[iSlice, :] = np.fft.fft(thisSlice)[:numFreqs]
-
-        FFTSlices[iCol] = Slices
-        if preferSpeedOverMemory:
-            FFTConjSlices[iCol] = np.conj(Slices)
-        Pxx[iCol] = np.divide(np.mean(abs(Slices)**2, axis=0), normVal)
-    del Slices, ind, windowVals
-
-    # compute the coherences and phases for all pairs using the
-    # cached FFTs
-    Cxy = {}
-    Phase = {}
-    count = 0
-    N = len(ij)
-    for i, j in ij:
-        count += 1
-        if count % 10 == 0:
-            progressCallback(count/N, 'Computing coherences')
-
-        if preferSpeedOverMemory:
-            Pxy = FFTSlices[i] * FFTConjSlices[j]
-        else:
-            Pxy = FFTSlices[i] * np.conj(FFTSlices[j])
-        if numSlices > 1:
-            Pxy = np.mean(Pxy, axis=0)
-#       Pxy = np.divide(Pxy, normVal)
-        Pxy /= normVal
-#       Cxy[(i,j)] = np.divide(np.absolute(Pxy)**2, Pxx[i]*Pxx[j])
-        Cxy[i, j] = abs(Pxy)**2 / (Pxx[i]*Pxx[j])
-        Phase[i, j] = np.arctan2(Pxy.imag, Pxy.real)
-
-    freqs = Fs/NFFT*np.arange(numFreqs)
-    if returnPxx:
-        return Cxy, Phase, freqs, Pxx
-    else:
-        return Cxy, Phase, freqs
-
-
 @cbook.deprecated('2.2', 'scipy.stats.entropy')
 def entropy(y, bins):
     r"""

From d6b54ab265fcaf68fa8ad37781c5786bdd327222 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 11:18:06 +0100
Subject: [PATCH 03/66] Remove mlab.entropy

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 30 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 31 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 97d866b807f7..d04e17f79d71 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -6,4 +6,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 
 - `mlab.logspace` (use numpy.logspace instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
+- `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 5634d614e6cc..005a2b40ec83 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,36 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2', 'scipy.stats.entropy')
-def entropy(y, bins):
-    r"""
-    Return the entropy of the data in *y* in units of nat.
-
-    .. math::
-
-      -\sum p_i \ln(p_i)
-
-    where :math:`p_i` is the probability of observing *y* in the
-    :math:`i^{th}` bin of *bins*.  *bins* can be a number of bins or a
-    range of bins; see :func:`numpy.histogram`.
-
-    Compare *S* with analytic calculation for a Gaussian::
-
-      x = mu + sigma * randn(200000)
-      Sanalytic = 0.5 * ( 1.0 + log(2*pi*sigma**2.0) )
-    """
-    n, bins = np.histogram(y, bins)
-    n = n.astype(float)
-
-    n = np.take(n, np.nonzero(n)[0])         # get the positive
-
-    p = np.divide(n, len(y))
-
-    delta = bins[1] - bins[0]
-    S = -1.0 * np.sum(p * np.log(p)) + np.log(delta)
-    return S
-
-
 @cbook.deprecated('2.2', 'scipy.stats.norm.pdf')
 def normpdf(x, *args):
     "Return the normal pdf evaluated at *x*; args provides *mu*, *sigma*"
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 5c90445bfaec..d4ceeeea4798 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
 from matplotlib.mlab import (
     amap, base_repr, binary_repr, bivariate_normal, center_matrix, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none, dist,
-    dist_point_to_segment, distances_along_curve, entropy, exp_safe,
+    dist_point_to_segment, distances_along_curve, exp_safe,
     fftsurr, find, frange, get_sparse_matrix, get_xyz_where, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, longest_contiguous_ones, longest_ones, movavg, norm_flat,

From 02c939fc228b985d17ee19a9843185bdcda8c06d Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 12:26:05 +0100
Subject: [PATCH 04/66] Remove mlab.normpdf

---
 doc/api/next_api_changes/2018-09-18-DS.rst | 1 +
 lib/matplotlib/mlab.py                     | 7 -------
 lib/matplotlib/pylab.py                    | 3 +--
 3 files changed, 2 insertions(+), 9 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index d04e17f79d71..34563d97c9c2 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -7,4 +7,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.logspace` (use numpy.logspace instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
+- `mlab.normpdf` (use scipy.stats.norm.pdf instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 005a2b40ec83..87dedb6c48b7 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,13 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2', 'scipy.stats.norm.pdf')
-def normpdf(x, *args):
-    "Return the normal pdf evaluated at *x*; args provides *mu*, *sigma*"
-    mu, sigma = args
-    return 1./(np.sqrt(2*np.pi)*sigma)*np.exp(-0.5 * (1./sigma*(x - mu))**2)
-
-
 @cbook.deprecated('2.2')
 def find(condition):
     "Return the indices where ravel(condition) is true"
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index d4ceeeea4798..52e3c69ac61a 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -154,7 +154,6 @@
 
 _Probability
 
-  normpdf   - The Gaussian probability density function
   rand      - random numbers from the uniform distribution
   randn     - random numbers from the normal distribution
 
@@ -237,7 +236,7 @@
     fftsurr, find, frange, get_sparse_matrix, get_xyz_where, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, longest_contiguous_ones, longest_ones, movavg, norm_flat,
-    normpdf, path_length, poly_below, poly_between, prctile, prctile_rank,
+    path_length, poly_below, poly_between, prctile, prctile_rank,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rk4, rms_flat,
     segments_intersect, slopes, stineman_interp, vector_lengths,
     window_hanning, window_none)

From 0bf2b344a4d43420f7784e4487b82180af672188 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 12:37:09 +0100
Subject: [PATCH 05/66] Remove mlab.find

---
 doc/api/next_api_changes/2018-09-18-DS.rst | 1 +
 lib/matplotlib/mlab.py                     | 7 -------
 lib/matplotlib/pylab.py                    | 2 +-
 3 files changed, 2 insertions(+), 8 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 34563d97c9c2..5261c527818d 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -8,4 +8,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
+- `mlab.find` (use ``np.nonzero(np.ravel(condition))`` instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 87dedb6c48b7..2f00230618cd 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,13 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def find(condition):
-    "Return the indices where ravel(condition) is true"
-    res, = np.nonzero(np.ravel(condition))
-    return res
-
-
 @cbook.deprecated('2.2')
 def longest_contiguous_ones(x):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 52e3c69ac61a..b6b34e1080fd 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
     amap, base_repr, binary_repr, bivariate_normal, center_matrix, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none, dist,
     dist_point_to_segment, distances_along_curve, exp_safe,
-    fftsurr, find, frange, get_sparse_matrix, get_xyz_where, griddata,
+    fftsurr, frange, get_sparse_matrix, get_xyz_where, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, longest_contiguous_ones, longest_ones, movavg, norm_flat,
     path_length, poly_below, poly_between, prctile, prctile_rank,

From 3ad4ddac02ffe112bd828b72a98889da4f75da18 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 12:38:45 +0100
Subject: [PATCH 06/66] Remove mlab.longest_contiguous_ones

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  2 ++
 lib/matplotlib/mlab.py                     | 34 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 3 insertions(+), 35 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 5261c527818d..df66e59958e2 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -9,4 +9,6 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
 - `mlab.find` (use ``np.nonzero(np.ravel(condition))`` instead)
+- `mlab.longest_contiguous_ones`
+- `mlab.longest_ones`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 2f00230618cd..39862e41ecc2 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,40 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def longest_contiguous_ones(x):
-    """
-    Return the indices of the longest stretch of contiguous ones in *x*,
-    assuming *x* is a vector of zeros and ones.  If there are two
-    equally long stretches, pick the first.
-    """
-    x = np.ravel(x)
-    if len(x) == 0:
-        return np.array([])
-
-    ind = (x == 0).nonzero()[0]
-    if len(ind) == 0:
-        return np.arange(len(x))
-    if len(ind) == len(x):
-        return np.array([])
-
-    y = np.zeros((len(x)+2,), x.dtype)
-    y[1:-1] = x
-    dif = np.diff(y)
-    up = (dif == 1).nonzero()[0]
-    dn = (dif == -1).nonzero()[0]
-    i = (dn-up == max(dn - up)).nonzero()[0][0]
-    ind = np.arange(up[i], dn[i])
-
-    return ind
-
-
-@cbook.deprecated('2.2')
-def longest_ones(x):
-    '''Alias for longest_contiguous_ones.'''
-    return longest_contiguous_ones(x)
-
-
 @cbook.deprecated('2.2')
 class PCA(object):
     def __init__(self, a, standardize=True):
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index b6b34e1080fd..14f5afb936d3 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,7 @@
     dist_point_to_segment, distances_along_curve, exp_safe,
     fftsurr, frange, get_sparse_matrix, get_xyz_where, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
-    l2norm, log2, longest_contiguous_ones, longest_ones, movavg, norm_flat,
+    l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between, prctile, prctile_rank,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rk4, rms_flat,
     segments_intersect, slopes, stineman_interp, vector_lengths,

From b17eccaa698e1ca972454282b204f8910720cf0b Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 12:41:30 +0100
Subject: [PATCH 07/66] Remove mlab.PCA

---
 doc/api/next_api_changes/2018-09-18-DS.rst |   1 +
 lib/matplotlib/mlab.py                     | 136 ---------------------
 lib/matplotlib/tests/test_mlab.py          |   9 --
 3 files changed, 1 insertion(+), 145 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index df66e59958e2..2fa1321964db 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -11,4 +11,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.find` (use ``np.nonzero(np.ravel(condition))`` instead)
 - `mlab.longest_contiguous_ones`
 - `mlab.longest_ones`
+- `mlab.PCA`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 39862e41ecc2..8560da4efbfe 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,142 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-class PCA(object):
-    def __init__(self, a, standardize=True):
-        """
-        compute the SVD of a and store data for PCA.  Use project to
-        project the data onto a reduced set of dimensions
-
-        Parameters
-        ----------
-        a : np.ndarray
-            A numobservations x numdims array
-        standardize : bool
-            True if input data are to be standardized. If False, only centering
-            will be carried out.
-
-        Attributes
-        ----------
-        a
-            A centered unit sigma version of input ``a``.
-
-        numrows, numcols
-            The dimensions of ``a``.
-
-        mu
-            A numdims array of means of ``a``. This is the vector that points
-            to the origin of PCA space.
-
-        sigma
-            A numdims array of standard deviation of ``a``.
-
-        fracs
-            The proportion of variance of each of the principal components.
-
-        s
-            The actual eigenvalues of the decomposition.
-
-        Wt
-            The weight vector for projecting a numdims point or array into
-            PCA space.
-
-        Y
-            A projected into PCA space.
-
-        Notes
-        -----
-        The factor loadings are in the ``Wt`` factor, i.e., the factor loadings
-        for the first principal component are given by ``Wt[0]``. This row is
-        also the first eigenvector.
-
-        """
-        n, m = a.shape
-        if n < m:
-            raise RuntimeError('we assume data in a is organized with '
-                               'numrows>numcols')
-
-        self.numrows, self.numcols = n, m
-        self.mu = a.mean(axis=0)
-        self.sigma = a.std(axis=0)
-        self.standardize = standardize
-
-        a = self.center(a)
-
-        self.a = a
-
-        U, s, Vh = np.linalg.svd(a, full_matrices=False)
-
-        # Note: .H indicates the conjugate transposed / Hermitian.
-
-        # The SVD is commonly written as a = U s V.H.
-        # If U is a unitary matrix, it means that it satisfies U.H = inv(U).
-
-        # The rows of Vh are the eigenvectors of a.H a.
-        # The columns of U are the eigenvectors of a a.H.
-        # For row i in Vh and column i in U, the corresponding eigenvalue is
-        # s[i]**2.
-
-        self.Wt = Vh
-
-        # save the transposed coordinates
-        Y = np.dot(Vh, a.T).T
-        self.Y = Y
-
-        # save the eigenvalues
-        self.s = s**2
-
-        # and now the contribution of the individual components
-        vars = self.s / len(s)
-        self.fracs = vars/vars.sum()
-
-    def project(self, x, minfrac=0.):
-        '''
-        project x onto the principle axes, dropping any axes where fraction
-        of variance<minfrac
-        '''
-        x = np.asarray(x)
-        if x.shape[-1] != self.numcols:
-            raise ValueError('Expected an array with dims[-1]==%d' %
-                             self.numcols)
-        Y = np.dot(self.Wt, self.center(x).T).T
-        mask = self.fracs >= minfrac
-        if x.ndim == 2:
-            Yreduced = Y[:, mask]
-        else:
-            Yreduced = Y[mask]
-        return Yreduced
-
-    def center(self, x):
-        '''
-        center and optionally standardize the data using the mean and sigma
-        from training set a
-        '''
-        if self.standardize:
-            return (x - self.mu)/self.sigma
-        else:
-            return (x - self.mu)
-
-    @staticmethod
-    def _get_colinear():
-        c0 = np.array([
-            0.19294738,  0.6202667,   0.45962655,  0.07608613,  0.135818,
-            0.83580842,  0.07218851,  0.48318321,  0.84472463,  0.18348462,
-            0.81585306,  0.96923926,  0.12835919,  0.35075355,  0.15807861,
-            0.837437,    0.10824303,  0.1723387,   0.43926494,  0.83705486])
-
-        c1 = np.array([
-            -1.17705601, -0.513883,   -0.26614584,  0.88067144,  1.00474954,
-            -1.1616545,   0.0266109,   0.38227157,  1.80489433,  0.21472396,
-            -1.41920399, -2.08158544, -0.10559009,  1.68999268,  0.34847107,
-            -0.4685737,   1.23980423, -0.14638744, -0.35907697,  0.22442616])
-
-        c2 = c0 + 2*c1
-        c3 = -3*c0 + 4*c1
-        a = np.array([c3, c0, c1, c2]).T
-        return a
-
-
 @cbook.deprecated('2.2', 'numpy.percentile')
 def prctile(x, p=(0.0, 25.0, 50.0, 75.0, 100.0)):
     """
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index 6a7e5f855f79..d7eaac498c2c 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -20,15 +20,6 @@
 '''
 
 
-def test_colinear_pca():
-    with pytest.warns(MatplotlibDeprecationWarning):
-        a = mlab.PCA._get_colinear()
-        pca = mlab.PCA(a)
-
-    assert_allclose(pca.fracs[2:], 0., atol=1e-8)
-    assert_allclose(pca.Y[:, 2:], 0., atol=1e-8)
-
-
 @pytest.mark.parametrize('input', [
     # test odd lengths
     [1, 2, 3],

From 61467cf7626160921382dc9e53b69cb929191370 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 12:45:32 +0100
Subject: [PATCH 08/66] Remove mlab.prctile and mlab.prctile_rank

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  2 +
 lib/matplotlib/mlab.py                     | 66 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 lib/matplotlib/tests/test_mlab.py          | 26 ---------
 4 files changed, 3 insertions(+), 93 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 2fa1321964db..072ee310bbba 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -12,4 +12,6 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.longest_contiguous_ones`
 - `mlab.longest_ones`
 - `mlab.PCA`
+- `mlab.prctile` (use numpy.percentile instead)
+- `mlab.prctile_rank`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 8560da4efbfe..6b595e14b5d8 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,72 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2', 'numpy.percentile')
-def prctile(x, p=(0.0, 25.0, 50.0, 75.0, 100.0)):
-    """
-    Return the percentiles of *x*.  *p* can either be a sequence of
-    percentile values or a scalar.  If *p* is a sequence, the ith
-    element of the return sequence is the *p*(i)-th percentile of *x*.
-    If *p* is a scalar, the largest value of *x* less than or equal to
-    the *p* percentage point in the sequence is returned.
-    """
-
-    # This implementation derived from scipy.stats.scoreatpercentile
-    def _interpolate(a, b, fraction):
-        """Returns the point at the given fraction between a and b, where
-        'fraction' must be between 0 and 1.
-        """
-        return a + (b - a) * fraction
-
-    per = np.array(p)
-    values = np.sort(x, axis=None)
-
-    idxs = per / 100 * (values.shape[0] - 1)
-    ai = idxs.astype(int)
-    bi = ai + 1
-    frac = idxs % 1
-
-    # handle cases where attempting to interpolate past last index
-    cond = bi >= len(values)
-    if per.ndim:
-        ai[cond] -= 1
-        bi[cond] -= 1
-        frac[cond] += 1
-    else:
-        if cond:
-            ai -= 1
-            bi -= 1
-            frac += 1
-
-    return _interpolate(values[ai], values[bi], frac)
-
-
-@cbook.deprecated('2.2')
-def prctile_rank(x, p):
-    """
-    Return the rank for each element in *x*, return the rank
-    0..len(*p*).  e.g., if *p* = (25, 50, 75), the return value will be a
-    len(*x*) array with values in [0,1,2,3] where 0 indicates the
-    value is less than the 25th percentile, 1 indicates the value is
-    >= the 25th and < 50th percentile, ... and 3 indicates the value
-    is above the 75th percentile cutoff.
-
-    *p* is either an array of percentiles in [0..100] or a scalar which
-    indicates how many quantiles of data you want ranked.
-    """
-
-    if not np.iterable(p):
-        p = np.arange(100.0/p, 100.0, 100.0/p)
-    else:
-        p = np.asarray(p)
-
-    if p.max() <= 1 or p.min() < 0 or p.max() > 100:
-        raise ValueError('percentiles should be in range 0..100, not 0..1')
-
-    ptiles = prctile(x, p)
-    return np.searchsorted(ptiles, x)
-
-
 @cbook.deprecated('2.2')
 def center_matrix(M, dim=0):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 14f5afb936d3..273b5284dde8 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -236,7 +236,7 @@
     fftsurr, frange, get_sparse_matrix, get_xyz_where, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    path_length, poly_below, poly_between, prctile, prctile_rank,
+    path_length, poly_below, poly_between,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rk4, rms_flat,
     segments_intersect, slopes, stineman_interp, vector_lengths,
     window_hanning, window_none)
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index d7eaac498c2c..3e4ba8fa8877 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -20,32 +20,6 @@
 '''
 
 
-@pytest.mark.parametrize('input', [
-    # test odd lengths
-    [1, 2, 3],
-    # test even lengths
-    [1, 2, 3, 4],
-    # derived from email sent by jason-sage to MPL-user on 20090914
-    [1, 1, 2, 2, 1, 2, 4, 3, 2, 2, 2, 3, 4, 5, 6, 7, 8, 9, 7, 6, 4, 5, 5],
-],
-ids=[
-    'odd length',
-    'even length',
-    'custom data',
-])
-@pytest.mark.parametrize('percentile', [
-    0,
-    50,
-    75,
-    100,
-    [0, 75, 100],
-])
-def test_prctile(input, percentile):
-    with pytest.warns(MatplotlibDeprecationWarning):
-        assert_allclose(mlab.prctile(input, percentile),
-                        np.percentile(input, percentile))
-
-
 class TestStride(object):
     def get_base(self, x):
         y = x

From 4cb0ab6d14070191a451fb14ea20d5552f5a8d26 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 12:46:42 +0100
Subject: [PATCH 09/66] Remove mlab.center_matrix

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 17 -----------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 18 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 072ee310bbba..0a3898eb535b 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -14,4 +14,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.PCA`
 - `mlab.prctile` (use numpy.percentile instead)
 - `mlab.prctile_rank`
+- `mlab.center_matrix`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 6b595e14b5d8..bd3f33e1e8f7 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,23 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def center_matrix(M, dim=0):
-    """
-    Return the matrix *M* with each row having zero mean and unit std.
-
-    If *dim* = 1 operate on columns instead of rows.  (*dim* is
-    opposite to the numpy axis kwarg.)
-    """
-    M = np.asarray(M, float)
-    if dim:
-        M = (M - M.mean(axis=0)) / M.std(axis=0)
-    else:
-        M = (M - M.mean(axis=1)[:, np.newaxis])
-        M = M / M.std(axis=1)[:, np.newaxis]
-    return M
-
-
 @cbook.deprecated('2.2', 'scipy.integrate.ode')
 def rk4(derivs, y0, t):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 273b5284dde8..16a764171646 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -230,7 +230,7 @@
 ## We are still importing too many things from mlab; more cleanup is needed.
 
 from matplotlib.mlab import (
-    amap, base_repr, binary_repr, bivariate_normal, center_matrix, csv2rec,
+    amap, base_repr, binary_repr, bivariate_normal, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none, dist,
     dist_point_to_segment, distances_along_curve, exp_safe,
     fftsurr, frange, get_sparse_matrix, get_xyz_where, griddata,

From d3e26368b39316128df2bd0dce5b9ef496bb5b21 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 12:48:04 +0100
Subject: [PATCH 10/66] Remove mlab.rk4

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 71 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 72 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 0a3898eb535b..9cdb91a4b2d9 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -15,4 +15,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.prctile` (use numpy.percentile instead)
 - `mlab.prctile_rank`
 - `mlab.center_matrix`
+- `mlab.rk4` (use scipy.integrate.ode instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index bd3f33e1e8f7..394173f7c311 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,77 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2', 'scipy.integrate.ode')
-def rk4(derivs, y0, t):
-    """
-    Integrate 1D or ND system of ODEs using 4-th order Runge-Kutta.
-    This is a toy implementation which may be useful if you find
-    yourself stranded on a system w/o scipy.  Otherwise use
-    :func:`scipy.integrate`.
-
-    Parameters
-    ----------
-    y0
-        initial state vector
-
-    t
-        sample times
-
-    derivs
-        returns the derivative of the system and has the
-        signature ``dy = derivs(yi, ti)``
-
-    Examples
-    --------
-
-    A 2D system::
-
-        def derivs6(x,t):
-            d1 =  x[0] + 2*x[1]
-            d2 =  -3*x[0] + 4*x[1]
-            return (d1, d2)
-        dt = 0.0005
-        t = arange(0.0, 2.0, dt)
-        y0 = (1,2)
-        yout = rk4(derivs6, y0, t)
-
-    A 1D system::
-
-        alpha = 2
-        def derivs(x,t):
-            return -alpha*x + exp(-t)
-
-        y0 = 1
-        yout = rk4(derivs, y0, t)
-
-    If you have access to scipy, you should probably be using the
-    scipy.integrate tools rather than this function.
-    """
-
-    try:
-        Ny = len(y0)
-    except TypeError:
-        yout = np.zeros((len(t),), float)
-    else:
-        yout = np.zeros((len(t), Ny), float)
-
-    yout[0] = y0
-
-    for i in np.arange(len(t)-1):
-
-        thist = t[i]
-        dt = t[i+1] - thist
-        dt2 = dt/2.0
-        y0 = yout[i]
-
-        k1 = np.asarray(derivs(y0, thist))
-        k2 = np.asarray(derivs(y0 + dt2*k1, thist+dt2))
-        k3 = np.asarray(derivs(y0 + dt2*k2, thist+dt2))
-        k4 = np.asarray(derivs(y0 + dt*k3, thist+dt))
-        yout[i+1] = y0 + dt/6.0*(k1 + 2*k2 + 2*k3 + k4)
-    return yout
-
-
 @cbook.deprecated('2.2')
 def bivariate_normal(X, Y, sigmax=1.0, sigmay=1.0,
                      mux=0.0, muy=0.0, sigmaxy=0.0):
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 16a764171646..c485d7bba6b9 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -237,7 +237,7 @@
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between,
-    rec2csv, rec_append_fields, rec_drop_fields, rec_join, rk4, rms_flat,
+    rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
     segments_intersect, slopes, stineman_interp, vector_lengths,
     window_hanning, window_none)
 

From 5966998cf8a606a8eaaeb87839a6e360961bc01e Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:01:41 +0100
Subject: [PATCH 11/66] Remove mlab.bivariate_normal

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 19 -------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 20 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 9cdb91a4b2d9..90437c227dca 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -16,4 +16,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.prctile_rank`
 - `mlab.center_matrix`
 - `mlab.rk4` (use scipy.integrate.ode instead)
+- `mlab.bivariate_normal`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 394173f7c311..c5ceff96979f 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,25 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def bivariate_normal(X, Y, sigmax=1.0, sigmay=1.0,
-                     mux=0.0, muy=0.0, sigmaxy=0.0):
-    """
-    Bivariate Gaussian distribution for equal shape *X*, *Y*.
-
-    See `bivariate normal
-    <http://mathworld.wolfram.com/BivariateNormalDistribution.html>`_
-    at mathworld.
-    """
-    Xmu = X-mux
-    Ymu = Y-muy
-
-    rho = sigmaxy/(sigmax*sigmay)
-    z = Xmu**2/sigmax**2 + Ymu**2/sigmay**2 - 2*rho*Xmu*Ymu/(sigmax*sigmay)
-    denom = 2*np.pi*sigmax*sigmay*np.sqrt(1-rho**2)
-    return np.exp(-z/(2*(1-rho**2))) / denom
-
-
 @cbook.deprecated('2.2')
 def get_xyz_where(Z, Cond):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index c485d7bba6b9..03b1a85f5010 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -230,7 +230,7 @@
 ## We are still importing too many things from mlab; more cleanup is needed.
 
 from matplotlib.mlab import (
-    amap, base_repr, binary_repr, bivariate_normal, csv2rec,
+    amap, base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none, dist,
     dist_point_to_segment, distances_along_curve, exp_safe,
     fftsurr, frange, get_sparse_matrix, get_xyz_where, griddata,

From ee38004346e04290cfba091133b3546a5215f2e4 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:02:29 +0100
Subject: [PATCH 12/66] Remove mlab.get_xyz_where

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 13 -------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 14 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 90437c227dca..9f47e1013dce 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -17,4 +17,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.center_matrix`
 - `mlab.rk4` (use scipy.integrate.ode instead)
 - `mlab.bivariate_normal`
+- `mlab.get_xyz_where`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index c5ceff96979f..f783448ea4b3 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,19 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def get_xyz_where(Z, Cond):
-    """
-    *Z* and *Cond* are *M* x *N* matrices.  *Z* are data and *Cond* is
-    a boolean matrix where some condition is satisfied.  Return value
-    is (*x*, *y*, *z*) where *x* and *y* are the indices into *Z* and
-    *z* are the values of *Z* at those indices.  *x*, *y*, and *z* are
-    1D arrays.
-    """
-    X, Y = np.indices(Z.shape)
-    return X[Cond], Y[Cond], Z[Cond]
-
-
 @cbook.deprecated('2.2')
 def get_sparse_matrix(M, N, frac=0.1):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 03b1a85f5010..dd4f9a717ca6 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
     amap, base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none, dist,
     dist_point_to_segment, distances_along_curve, exp_safe,
-    fftsurr, frange, get_sparse_matrix, get_xyz_where, griddata,
+    fftsurr, frange, get_sparse_matrix, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between,

From 27929624c25d95517455aefbe0dba5c55ab04398 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:03:12 +0100
Subject: [PATCH 13/66] Remove mlab.get_sparse_matrix

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 14 --------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 15 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 9f47e1013dce..f11bcc2e99a3 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -18,4 +18,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.rk4` (use scipy.integrate.ode instead)
 - `mlab.bivariate_normal`
 - `mlab.get_xyz_where`
+- `mlab.get_sparse_matrix`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index f783448ea4b3..4bc7e236ba58 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,20 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def get_sparse_matrix(M, N, frac=0.1):
-    """
-    Return a *M* x *N* sparse matrix with *frac* elements randomly
-    filled.
-    """
-    data = np.zeros((M, N))*0.
-    for i in range(int(M*N*frac)):
-        x = np.random.randint(0, M-1)
-        y = np.random.randint(0, N-1)
-        data[x, y] = np.random.rand()
-    return data
-
-
 @cbook.deprecated('2.2', 'numpy.hypot')
 def dist(x, y):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index dd4f9a717ca6..57380aa903fb 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
     amap, base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none, dist,
     dist_point_to_segment, distances_along_curve, exp_safe,
-    fftsurr, frange, get_sparse_matrix, griddata,
+    fftsurr, frange, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between,

From 563bc0de45fa8215b616eaceb107348209a6bf3b Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:04:49 +0100
Subject: [PATCH 14/66] Remove mlab.dist, mlab.dist_point_to_segment

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  2 ++
 examples/event_handling/poly_editor.py     | 29 +++++++++++++++--
 lib/matplotlib/mlab.py                     | 38 ----------------------
 lib/matplotlib/pylab.py                    |  4 +--
 4 files changed, 31 insertions(+), 42 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index f11bcc2e99a3..b21e0e2d39f1 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -19,4 +19,6 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.bivariate_normal`
 - `mlab.get_xyz_where`
 - `mlab.get_sparse_matrix`
+- `mlab.dist` (use numpy.hypot instead)
+- `mlab.dist_point_to_segment`
 - `mlab.donothing_callback`
diff --git a/examples/event_handling/poly_editor.py b/examples/event_handling/poly_editor.py
index c0a27e2071c4..652f3a226fde 100644
--- a/examples/event_handling/poly_editor.py
+++ b/examples/event_handling/poly_editor.py
@@ -9,7 +9,6 @@
 import numpy as np
 from matplotlib.lines import Line2D
 from matplotlib.artist import Artist
-from matplotlib.mlab import dist_point_to_segment
 
 
 class PolygonInteractor(object):
@@ -85,6 +84,32 @@ def get_ind_under_point(self, event):
 
         return ind
 
+    def dist(self, x, y):
+        """
+        Return the distance between two points.
+        """
+        d = x-y
+        return np.sqrt(np.dot(d, d))
+
+    def dist_point_to_segment(self, p, s0, s1):
+        """
+        Get the distance of a point to a segment.
+          *p*, *s0*, *s1* are *xy* sequences
+        This algorithm from
+        http://geomalgorithms.com/a02-_lines.html
+        """
+        v = s1 - s0
+        w = p - s0
+        c1 = np.dot(w, v)
+        if c1 <= 0:
+            return self.dist(p, s0)
+        c2 = np.dot(v, v)
+        if c2 <= c1:
+            return self.dist(p, s1)
+        b = c1 / c2
+        pb = s0 + b * v
+        return self.dist(p, pb)
+
     def button_press_callback(self, event):
         'whenever a mouse button is pressed'
         if not self.showverts:
@@ -124,7 +149,7 @@ def key_press_callback(self, event):
             for i in range(len(xys) - 1):
                 s0 = xys[i]
                 s1 = xys[i + 1]
-                d = dist_point_to_segment(p, s0, s1)
+                d = self.dist_point_to_segment(p, s0, s1)
                 if d <= self.epsilon:
                     self.poly.xy = np.insert(
                         self.poly.xy, i+1,
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 4bc7e236ba58..9f9f4a6199de 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,44 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2', 'numpy.hypot')
-def dist(x, y):
-    """
-    Return the distance between two points.
-    """
-    d = x-y
-    return np.sqrt(np.dot(d, d))
-
-
-@cbook.deprecated('2.2')
-def dist_point_to_segment(p, s0, s1):
-    """
-    Get the distance of a point to a segment.
-
-      *p*, *s0*, *s1* are *xy* sequences
-
-    This algorithm from
-    http://geomalgorithms.com/a02-_lines.html
-    """
-    p = np.asarray(p, float)
-    s0 = np.asarray(s0, float)
-    s1 = np.asarray(s1, float)
-    v = s1 - s0
-    w = p - s0
-
-    c1 = np.dot(w, v)
-    if c1 <= 0:
-        return dist(p, s0)
-
-    c2 = np.dot(v, v)
-    if c2 <= c1:
-        return dist(p, s1)
-
-    b = c1 / c2
-    pb = s0 + b * v
-    return dist(p, pb)
-
-
 @cbook.deprecated('2.2')
 def segments_intersect(s1, s2):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 57380aa903fb..cf462a77893d 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,8 +231,8 @@
 
 from matplotlib.mlab import (
     amap, base_repr, binary_repr, csv2rec,
-    demean, detrend, detrend_linear, detrend_mean, detrend_none, dist,
-    dist_point_to_segment, distances_along_curve, exp_safe,
+    demean, detrend, detrend_linear, detrend_mean, detrend_none,
+    distances_along_curve, exp_safe,
     fftsurr, frange, griddata,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,

From 3d93777eee3afa7f08fdb6b292d798abd1203fbb Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:14:43 +0100
Subject: [PATCH 15/66] Remove mlab.griddata

---
 doc/api/next_api_changes/2018-09-18-DS.rst |   1 +
 lib/matplotlib/mlab.py                     | 126 ---------------------
 lib/matplotlib/pylab.py                    |   3 +-
 lib/matplotlib/tests/test_mlab.py          |  75 ------------
 4 files changed, 2 insertions(+), 203 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index b21e0e2d39f1..4086031124ea 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -21,4 +21,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.get_sparse_matrix`
 - `mlab.dist` (use numpy.hypot instead)
 - `mlab.dist_point_to_segment`
+- `mlab.griddata` (use scipy.interpolate.griddata)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 9f9f4a6199de..13d663f881b1 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2556,132 +2556,6 @@ def newfunc(val, mask, mval):
         fh.close()
 
 
-@cbook.deprecated('2.2', alternative='scipy.interpolate.griddata')
-def griddata(x, y, z, xi, yi, interp='nn'):
-    """
-    Interpolates from a nonuniformly spaced grid to some other grid.
-
-    Fits a surface of the form z = f(`x`, `y`) to the data in the
-    (usually) nonuniformly spaced vectors (`x`, `y`, `z`), then
-    interpolates this surface at the points specified by
-    (`xi`, `yi`) to produce `zi`.
-
-    Parameters
-    ----------
-    x, y, z : 1d array_like
-        Coordinates of grid points to interpolate from.
-    xi, yi : 1d or 2d array_like
-        Coordinates of grid points to interpolate to.
-    interp : string key from {'nn', 'linear'}
-        Interpolation algorithm, either 'nn' for natural neighbor, or
-        'linear' for linear interpolation.
-
-    Returns
-    -------
-    2d float array
-        Array of values interpolated at (`xi`, `yi`) points.  Array
-        will be masked is any of (`xi`, `yi`) are outside the convex
-        hull of (`x`, `y`).
-
-    Notes
-    -----
-    If `interp` is 'nn' (the default), uses natural neighbor
-    interpolation based on Delaunay triangulation.  This option is
-    only available if the mpl_toolkits.natgrid module is installed.
-    This can be downloaded from https://github.com/matplotlib/natgrid.
-    The (`xi`, `yi`) grid must be regular and monotonically increasing
-    in this case.
-
-    If `interp` is 'linear', linear interpolation is used via
-    matplotlib.tri.LinearTriInterpolator.
-
-    Instead of using `griddata`, more flexible functionality and other
-    interpolation options are available using a
-    matplotlib.tri.Triangulation and a matplotlib.tri.TriInterpolator.
-    """
-    # Check input arguments.
-    x = np.asanyarray(x, dtype=np.float64)
-    y = np.asanyarray(y, dtype=np.float64)
-    z = np.asanyarray(z, dtype=np.float64)
-    if x.shape != y.shape or x.shape != z.shape or x.ndim != 1:
-        raise ValueError("x, y and z must be equal-length 1-D arrays")
-
-    xi = np.asanyarray(xi, dtype=np.float64)
-    yi = np.asanyarray(yi, dtype=np.float64)
-    if xi.ndim != yi.ndim:
-        raise ValueError("xi and yi must be arrays with the same number of "
-                         "dimensions (1 or 2)")
-    if xi.ndim == 2 and xi.shape != yi.shape:
-        raise ValueError("if xi and yi are 2D arrays, they must have the same "
-                         "shape")
-    if xi.ndim == 1:
-        xi, yi = np.meshgrid(xi, yi)
-
-    if interp == 'nn':
-        use_nn_interpolation = True
-    elif interp == 'linear':
-        use_nn_interpolation = False
-    else:
-        raise ValueError("interp keyword must be one of 'linear' (for linear "
-                         "interpolation) or 'nn' (for natural neighbor "
-                         "interpolation).  Default is 'nn'.")
-
-    # Remove masked points.
-    mask = np.ma.getmask(z)
-    if mask is not np.ma.nomask:
-        x = x.compress(~mask)
-        y = y.compress(~mask)
-        z = z.compressed()
-
-    if use_nn_interpolation:
-        try:
-            from mpl_toolkits.natgrid import _natgrid
-        except ImportError:
-            raise RuntimeError(
-                "To use interp='nn' (Natural Neighbor interpolation) in "
-                "griddata, natgrid must be installed. Either install it "
-                "from http://github.com/matplotlib/natgrid or use "
-                "interp='linear' instead.")
-
-        if xi.ndim == 2:
-            # natgrid expects 1D xi and yi arrays.
-            xi = xi[0, :]
-            yi = yi[:, 0]
-
-        # Override default natgrid internal parameters.
-        _natgrid.seti(b'ext', 0)
-        _natgrid.setr(b'nul', np.nan)
-
-        if np.min(np.diff(xi)) < 0 or np.min(np.diff(yi)) < 0:
-            raise ValueError("Output grid defined by xi,yi must be monotone "
-                             "increasing")
-
-        # Allocate array for output (buffer will be overwritten by natgridd)
-        zi = np.empty((yi.shape[0], xi.shape[0]), np.float64)
-
-        # Natgrid requires each array to be contiguous rather than e.g. a view
-        # that is a non-contiguous slice of another array.  Use numpy.require
-        # to deal with this, which will copy if necessary.
-        x = np.require(x, requirements=['C'])
-        y = np.require(y, requirements=['C'])
-        z = np.require(z, requirements=['C'])
-        xi = np.require(xi, requirements=['C'])
-        yi = np.require(yi, requirements=['C'])
-        _natgrid.natgridd(x, y, z, xi, yi, zi)
-
-        # Mask points on grid outside convex hull of input data.
-        if np.any(np.isnan(zi)):
-            zi = np.ma.masked_where(np.isnan(zi), zi)
-        return zi
-    else:
-        # Linear interpolation performed using a matplotlib.tri.Triangulation
-        # and a matplotlib.tri.LinearTriInterpolator.
-        from .tri import Triangulation, LinearTriInterpolator
-        triang = Triangulation(x, y)
-        interpolator = LinearTriInterpolator(triang, z)
-        return interpolator(xi, yi)
-
-
 ##################################################
 # Linear interpolation algorithms
 ##################################################
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index cf462a77893d..f32961cfbfe0 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -195,7 +195,6 @@
 _Other
 
   angle     - the angle of a complex array
-  griddata  - interpolate irregularly distributed data to a regular grid
   load      - Deprecated--please use loadtxt.
   loadtxt   - load ASCII data into array.
   polyfit   - fit x, y to an n-th order polynomial
@@ -233,7 +232,7 @@
     amap, base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     distances_along_curve, exp_safe,
-    fftsurr, frange, griddata,
+    fftsurr, frange,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between,
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index 3e4ba8fa8877..14145d41101c 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -2081,81 +2081,6 @@ def test_cohere():
     assert np.isreal(np.mean(cohsq))
 
 
-def test_griddata_linear():
-    # z is a linear function of x and y.
-    def get_z(x, y):
-        return 3.0*x - y
-
-    # Passing 1D xi and yi arrays to griddata.
-    x = np.asarray([0.0, 1.0, 0.0, 1.0, 0.5])
-    y = np.asarray([0.0, 0.0, 1.0, 1.0, 0.5])
-    z = get_z(x, y)
-    xi = [0.2, 0.4, 0.6, 0.8]
-    yi = [0.1, 0.3, 0.7, 0.9]
-    with pytest.warns(MatplotlibDeprecationWarning):
-        zi = mlab.griddata(x, y, z, xi, yi, interp='linear')
-    xi, yi = np.meshgrid(xi, yi)
-    np.testing.assert_array_almost_equal(zi, get_z(xi, yi))
-
-    # Passing 2D xi and yi arrays to griddata.
-    with pytest.warns(MatplotlibDeprecationWarning):
-        zi = mlab.griddata(x, y, z, xi, yi, interp='linear')
-    np.testing.assert_array_almost_equal(zi, get_z(xi, yi))
-
-    # Masking z array.
-    z_masked = np.ma.array(z, mask=[False, False, False, True, False])
-    correct_zi_masked = np.ma.masked_where(xi + yi > 1.0, get_z(xi, yi))
-    with pytest.warns(MatplotlibDeprecationWarning):
-        zi = mlab.griddata(x, y, z_masked, xi, yi, interp='linear')
-    matest.assert_array_almost_equal(zi, correct_zi_masked)
-    np.testing.assert_array_equal(np.ma.getmask(zi),
-                                  np.ma.getmask(correct_zi_masked))
-
-
-def test_griddata_nn():
-    pytest.importorskip('mpl_toolkits.natgrid')
-
-    # z is a linear function of x and y.
-    def get_z(x, y):
-        return 3.0*x - y
-
-    # Passing 1D xi and yi arrays to griddata.
-    x = np.asarray([0.0, 1.0, 0.0, 1.0, 0.5])
-    y = np.asarray([0.0, 0.0, 1.0, 1.0, 0.5])
-    z = get_z(x, y)
-    xi = [0.2, 0.4, 0.6, 0.8]
-    yi = [0.1, 0.3, 0.7, 0.9]
-    correct_zi = [[0.49999252, 1.0999978, 1.7000030, 2.3000080],
-                  [0.29999208, 0.8999978, 1.5000029, 2.1000059],
-                  [-0.1000099, 0.4999943, 1.0999964, 1.6999979],
-                  [-0.3000128, 0.2999894, 0.8999913, 1.4999933]]
-    with pytest.warns(MatplotlibDeprecationWarning):
-        zi = mlab.griddata(x, y, z, xi, yi, interp='nn')
-    np.testing.assert_array_almost_equal(zi, correct_zi, 5)
-
-    with pytest.warns(MatplotlibDeprecationWarning):
-        # Decreasing xi or yi should raise ValueError.
-        with pytest.raises(ValueError):
-            mlab.griddata(x, y, z, xi[::-1], yi, interp='nn')
-        with pytest.raises(ValueError):
-            mlab.griddata(x, y, z, xi, yi[::-1], interp='nn')
-
-    # Passing 2D xi and yi arrays to griddata.
-    xi, yi = np.meshgrid(xi, yi)
-    with pytest.warns(MatplotlibDeprecationWarning):
-        zi = mlab.griddata(x, y, z, xi, yi, interp='nn')
-    np.testing.assert_array_almost_equal(zi, correct_zi, 5)
-
-    # Masking z array.
-    z_masked = np.ma.array(z, mask=[False, False, False, True, False])
-    correct_zi_masked = np.ma.masked_where(xi + yi > 1.0, correct_zi)
-    with pytest.warns(MatplotlibDeprecationWarning):
-        zi = mlab.griddata(x, y, z_masked, xi, yi, interp='nn')
-    np.testing.assert_array_almost_equal(zi, correct_zi_masked, 5)
-    np.testing.assert_array_equal(np.ma.getmask(zi),
-                                  np.ma.getmask(correct_zi_masked))
-
-
 #*****************************************************************
 # These Tests where taken from SCIPY with some minor modifications
 # this can be retrieved from:

From 7ede68c3f6617c67b07af33b893b33d5fbc0700d Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:15:57 +0100
Subject: [PATCH 16/66] Remove mlab.less_simple_linear_interpolation

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 41 ----------------------
 2 files changed, 1 insertion(+), 41 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 4086031124ea..3fad2b43fa4f 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -22,4 +22,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.dist` (use numpy.hypot instead)
 - `mlab.dist_point_to_segment`
 - `mlab.griddata` (use scipy.interpolate.griddata)
+- `mlab.less_simple_linear_interpolation` (use numpy.interp)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 13d663f881b1..fae625546c4f 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2559,47 +2559,6 @@ def newfunc(val, mask, mval):
 ##################################################
 # Linear interpolation algorithms
 ##################################################
-@cbook.deprecated("2.2", alternative="numpy.interp")
-def less_simple_linear_interpolation(x, y, xi, extrap=False):
-    """
-    This function provides simple (but somewhat less so than
-    :func:`cbook.simple_linear_interpolation`) linear interpolation.
-    :func:`simple_linear_interpolation` will give a list of point
-    between a start and an end, while this does true linear
-    interpolation at an arbitrary set of points.
-
-    This is very inefficient linear interpolation meant to be used
-    only for a small number of points in relatively non-intensive use
-    cases.  For real linear interpolation, use scipy.
-    """
-    x = np.asarray(x)
-    y = np.asarray(y)
-    xi = np.atleast_1d(xi)
-
-    s = list(y.shape)
-    s[0] = len(xi)
-    yi = np.tile(np.nan, s)
-
-    for ii, xx in enumerate(xi):
-        bb = x == xx
-        if np.any(bb):
-            jj, = np.nonzero(bb)
-            yi[ii] = y[jj[0]]
-        elif xx < x[0]:
-            if extrap:
-                yi[ii] = y[0]
-        elif xx > x[-1]:
-            if extrap:
-                yi[ii] = y[-1]
-        else:
-            jj, = np.nonzero(x < xx)
-            jj = max(jj)
-
-            yi[ii] = y[jj] + (xx-x[jj])/(x[jj+1]-x[jj]) * (y[jj+1]-y[jj])
-
-    return yi
-
-
 @cbook.deprecated("2.2")
 def slopes(x, y):
     """

From fb07c4280be754dd39bed66bb3018eebf0cc01a5 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:17:52 +0100
Subject: [PATCH 17/66] Remove mlab.slopes, mlab.stineman_interp

---
 doc/api/next_api_changes/2018-09-18-DS.rst |   2 +
 lib/matplotlib/mlab.py                     | 139 ---------------------
 lib/matplotlib/pylab.py                    |   2 +-
 3 files changed, 3 insertions(+), 140 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 3fad2b43fa4f..713194735895 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -23,4 +23,6 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.dist_point_to_segment`
 - `mlab.griddata` (use scipy.interpolate.griddata)
 - `mlab.less_simple_linear_interpolation` (use numpy.interp)
+- `mlab.slopes`
+- `mlab.stineman_interp`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index fae625546c4f..b35ff132437e 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2556,145 +2556,6 @@ def newfunc(val, mask, mval):
         fh.close()
 
 
-##################################################
-# Linear interpolation algorithms
-##################################################
-@cbook.deprecated("2.2")
-def slopes(x, y):
-    """
-    :func:`slopes` calculates the slope *y*'(*x*)
-
-    The slope is estimated using the slope obtained from that of a
-    parabola through any three consecutive points.
-
-    This method should be superior to that described in the appendix
-    of A CONSISTENTLY WELL BEHAVED METHOD OF INTERPOLATION by Russel
-    W. Stineman (Creative Computing July 1980) in at least one aspect:
-
-      Circles for interpolation demand a known aspect ratio between
-      *x*- and *y*-values.  For many functions, however, the abscissa
-      are given in different dimensions, so an aspect ratio is
-      completely arbitrary.
-
-    The parabola method gives very similar results to the circle
-    method for most regular cases but behaves much better in special
-    cases.
-
-    Norbert Nemec, Institute of Theoretical Physics, University or
-    Regensburg, April 2006 Norbert.Nemec at physik.uni-regensburg.de
-
-    (inspired by a original implementation by Halldor Bjornsson,
-    Icelandic Meteorological Office, March 2006 halldor at vedur.is)
-    """
-    # Cast key variables as float.
-    x = np.asarray(x, float)
-    y = np.asarray(y, float)
-
-    yp = np.zeros(y.shape, float)
-
-    dx = x[1:] - x[:-1]
-    dy = y[1:] - y[:-1]
-    dydx = dy/dx
-    yp[1:-1] = (dydx[:-1] * dx[1:] + dydx[1:] * dx[:-1])/(dx[1:] + dx[:-1])
-    yp[0] = 2.0 * dy[0]/dx[0] - yp[1]
-    yp[-1] = 2.0 * dy[-1]/dx[-1] - yp[-2]
-    return yp
-
-
-@cbook.deprecated("2.2")
-def stineman_interp(xi, x, y, yp=None):
-    """
-    Given data vectors *x* and *y*, the slope vector *yp* and a new
-    abscissa vector *xi*, the function :func:`stineman_interp` uses
-    Stineman interpolation to calculate a vector *yi* corresponding to
-    *xi*.
-
-    Here's an example that generates a coarse sine curve, then
-    interpolates over a finer abscissa::
-
-      x = linspace(0,2*pi,20);  y = sin(x); yp = cos(x)
-      xi = linspace(0,2*pi,40);
-      yi = stineman_interp(xi,x,y,yp);
-      plot(x,y,'o',xi,yi)
-
-    The interpolation method is described in the article A
-    CONSISTENTLY WELL BEHAVED METHOD OF INTERPOLATION by Russell
-    W. Stineman. The article appeared in the July 1980 issue of
-    Creative Computing with a note from the editor stating that while
-    they were:
-
-      not an academic journal but once in a while something serious
-      and original comes in adding that this was
-      "apparently a real solution" to a well known problem.
-
-    For *yp* = *None*, the routine automatically determines the slopes
-    using the :func:`slopes` routine.
-
-    *x* is assumed to be sorted in increasing order.
-
-    For values ``xi[j] < x[0]`` or ``xi[j] > x[-1]``, the routine
-    tries an extrapolation.  The relevance of the data obtained from
-    this, of course, is questionable...
-
-    Original implementation by Halldor Bjornsson, Icelandic
-    Meteorolocial Office, March 2006 halldor at vedur.is
-
-    Completely reworked and optimized for Python by Norbert Nemec,
-    Institute of Theoretical Physics, University or Regensburg, April
-    2006 Norbert.Nemec at physik.uni-regensburg.de
-    """
-
-    # Cast key variables as float.
-    x = np.asarray(x, float)
-    y = np.asarray(y, float)
-    if x.shape != y.shape:
-        raise ValueError("'x' and 'y' must be of same shape")
-
-    if yp is None:
-        yp = slopes(x, y)
-    else:
-        yp = np.asarray(yp, float)
-
-    xi = np.asarray(xi, float)
-
-    # calculate linear slopes
-    dx = x[1:] - x[:-1]
-    dy = y[1:] - y[:-1]
-    s = dy/dx  # note length of s is N-1 so last element is #N-2
-
-    # find the segment each xi is in
-    # this line actually is the key to the efficiency of this implementation
-    idx = np.searchsorted(x[1:-1], xi)
-
-    # now we have generally: x[idx[j]] <= xi[j] <= x[idx[j]+1]
-    # except at the boundaries, where it may be that xi[j] < x[0] or
-    # xi[j] > x[-1]
-
-    # the y-values that would come out from a linear interpolation:
-    sidx = s.take(idx)
-    xidx = x.take(idx)
-    yidx = y.take(idx)
-    xidxp1 = x.take(idx+1)
-    yo = yidx + sidx * (xi - xidx)
-
-    # the difference that comes when using the slopes given in yp
-    # using the yp slope of the left point
-    dy1 = (yp.take(idx) - sidx) * (xi - xidx)
-    # using the yp slope of the right point
-    dy2 = (yp.take(idx+1)-sidx) * (xi - xidxp1)
-
-    dy1dy2 = dy1*dy2
-    # The following is optimized for Python. The solution actually
-    # does more calculations than necessary but exploiting the power
-    # of numpy, this is far more efficient than coding a loop by hand
-    # in Python
-    yi = yo + dy1dy2 * np.choose(np.array(np.sign(dy1dy2), np.int32)+1,
-                                 ((2*xi-xidx-xidxp1)/((dy1-dy2)*(xidxp1-xidx)),
-                                  0.0,
-                                  1/(dy1+dy2),))
-    return yi
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index f32961cfbfe0..b76a4ca22ac4 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -237,7 +237,7 @@
     l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
-    segments_intersect, slopes, stineman_interp, vector_lengths,
+    segments_intersect, vector_lengths,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From a0b619f2c3fc9296201125a9cbb57ac6e9f35b08 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:19:35 +0100
Subject: [PATCH 18/66] Remove mlab.segments_intersect

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 27 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 28 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 713194735895..aac98b9258d5 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -25,4 +25,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.less_simple_linear_interpolation` (use numpy.interp)
 - `mlab.slopes`
 - `mlab.stineman_interp`
+- `mlab.segments_intersect`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index b35ff132437e..0ed579476813 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,33 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def segments_intersect(s1, s2):
-    """
-    Return *True* if *s1* and *s2* intersect.
-    *s1* and *s2* are defined as::
-
-      s1: (x1, y1), (x2, y2)
-      s2: (x3, y3), (x4, y4)
-    """
-    (x1, y1), (x2, y2) = s1
-    (x3, y3), (x4, y4) = s2
-
-    den = ((y4-y3) * (x2-x1)) - ((x4-x3)*(y2-y1))
-
-    n1 = ((x4-x3) * (y1-y3)) - ((y4-y3)*(x1-x3))
-    n2 = ((x2-x1) * (y1-y3)) - ((y2-y1)*(x1-x3))
-
-    if den == 0:
-        # lines parallel
-        return False
-
-    u1 = n1/den
-    u2 = n2/den
-
-    return 0.0 <= u1 <= 1.0 and 0.0 <= u2 <= 1.0
-
-
 @cbook.deprecated('2.2')
 def fftsurr(x, detrend=detrend_none, window=window_none):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index b76a4ca22ac4..b15acd00b0f0 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -237,7 +237,7 @@
     l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
-    segments_intersect, vector_lengths,
+    vector_lengths,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From feeb8f7c45ce7618d9b9fb85b57638a10fe2c9f2 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 19 Sep 2018 18:20:25 +0100
Subject: [PATCH 19/66] Remove mlab.fftsurr

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 16 ----------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 17 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index aac98b9258d5..776911c15e10 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -26,4 +26,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.slopes`
 - `mlab.stineman_interp`
 - `mlab.segments_intersect`
+- `mlab.fftsurr`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 0ed579476813..4bd3ab58e761 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,22 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def fftsurr(x, detrend=detrend_none, window=window_none):
-    """
-    Compute an FFT phase randomized surrogate of *x*.
-    """
-    if np.iterable(window):
-        x = window*detrend(x)
-    else:
-        x = window(detrend(x))
-    z = np.fft.fft(x)
-    a = 2.*np.pi*1j
-    phase = a * np.random.rand(len(x))
-    z = z*np.exp(phase)
-    return np.fft.ifft(z).real
-
-
 @cbook.deprecated('2.2')
 def movavg(x, n):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index b15acd00b0f0..6a7cbe063f3a 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -232,7 +232,7 @@
     amap, base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     distances_along_curve, exp_safe,
-    fftsurr, frange,
+    frange,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
     path_length, poly_below, poly_between,

From 5efed6caaaa92ab9b97d3e3b860dd91397df05e4 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:11:17 +0100
Subject: [PATCH 20/66] Remove mlab.offset_line

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 36 ----------------------
 2 files changed, 1 insertion(+), 36 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 776911c15e10..a1c0c29e589d 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -27,4 +27,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.stineman_interp`
 - `mlab.segments_intersect`
 - `mlab.fftsurr`
+- `mlab.offset_line`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 4bd3ab58e761..cac96556b6a4 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2888,39 +2888,3 @@ def quad2cubic(q0x, q0y, q1x, q1y, q2x, q2y):
     c2x, c2y = c1x + 1./3. * (q2x - q0x), c1y + 1./3. * (q2y - q0y)
     # c3x, c3y = q2x, q2y
     return q0x, q0y, c1x, c1y, c2x, c2y, q2x, q2y
-
-
-@cbook.deprecated("2.2")
-def offset_line(y, yerr):
-    """
-    Offsets an array *y* by +/- an error and returns a tuple
-    (y - err, y + err).
-
-    The error term can be:
-
-    * A scalar. In this case, the returned tuple is obvious.
-    * A vector of the same length as *y*. The quantities y +/- err are computed
-      component-wise.
-    * A tuple of length 2. In this case, yerr[0] is the error below *y* and
-      yerr[1] is error above *y*. For example::
-
-        import numpy as np
-        import matplotlib.pyplot as plt
-
-        x = np.linspace(0, 2*np.pi, num=100, endpoint=True)
-        y = np.sin(x)
-        y_minus, y_plus = mlab.offset_line(y, 0.1)
-        plt.plot(x, y)
-        plt.fill_between(x, y_minus, y2=y_plus)
-        plt.show()
-
-    """
-    if cbook.is_numlike(yerr) or (np.iterable(yerr) and
-                                  len(yerr) == len(y)):
-        ymin = y - yerr
-        ymax = y + yerr
-    elif len(yerr) == 2:
-        ymin, ymax = y - yerr[0], y + yerr[1]
-    else:
-        raise ValueError("yerr must be scalar, 1xN or 2xN")
-    return ymin, ymax

From 327a73214a006844d903d1dfaade57c76a35ebfc Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:12:18 +0100
Subject: [PATCH 21/66] Remove mlab.quad2cubic

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 18 ------------------
 2 files changed, 1 insertion(+), 18 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index a1c0c29e589d..c87e0e944648 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -28,4 +28,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.segments_intersect`
 - `mlab.fftsurr`
 - `mlab.offset_line`
+- `mlab.quad2cubic`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index cac96556b6a4..3c18957855f8 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2870,21 +2870,3 @@ def path_length(X):
     """
     X = distances_along_curve(X)
     return np.concatenate((np.zeros(1), np.cumsum(X)))
-
-
-@cbook.deprecated('2.2')
-def quad2cubic(q0x, q0y, q1x, q1y, q2x, q2y):
-    """
-    Converts a quadratic Bezier curve to a cubic approximation.
-
-    The inputs are the *x* and *y* coordinates of the three control
-    points of a quadratic curve, and the output is a tuple of *x* and
-    *y* coordinates of the four control points of the cubic curve.
-    """
-    # TODO: Candidate for deprecation -- no longer used internally
-
-    # c0x, c0y = q0x, q0y
-    c1x, c1y = q0x + 2./3. * (q1x - q0x), q0y + 2./3. * (q1y - q0y)
-    c2x, c2y = c1x + 1./3. * (q2x - q0x), c1y + 1./3. * (q2y - q0y)
-    # c3x, c3y = q2x, q2y
-    return q0x, q0y, c1x, c1y, c2x, c2y, q2x, q2y

From 8a7c90b4500f4333d9720ace5f016bd3de5db555 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:13:25 +0100
Subject: [PATCH 22/66] Remove mlab.path_length

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 13 -------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 14 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index c87e0e944648..1b44e7d7ebf4 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -29,4 +29,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.fftsurr`
 - `mlab.offset_line`
 - `mlab.quad2cubic`
+- `mlab.path_length`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 3c18957855f8..d72e885eb02f 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2857,16 +2857,3 @@ def distances_along_curve(X):
     """
     X = np.diff(X, axis=0)
     return vector_lengths(X, axis=1)
-
-
-@cbook.deprecated('2.2')
-def path_length(X):
-    """
-    Computes the distance travelled along a polygonal curve in *N* dimensions.
-
-    Where *X* is an *M* x *N* array or matrix.  Returns an array of
-    length *M* consisting of the distance along the curve at each point
-    (i.e., the rows of *X*).
-    """
-    X = distances_along_curve(X)
-    return np.concatenate((np.zeros(1), np.cumsum(X)))
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 6a7cbe063f3a..03027f048ddc 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,7 @@
     frange,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    path_length, poly_below, poly_between,
+    poly_below, poly_between,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
     vector_lengths,
     window_hanning, window_none)

From c00adaf042b059550c31af900c152e2dfea3b824 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:14:26 +0100
Subject: [PATCH 23/66] Remove mlab.distances_along_curve

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 13 -------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 14 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 1b44e7d7ebf4..3e3361a4a6c0 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -29,5 +29,6 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.fftsurr`
 - `mlab.offset_line`
 - `mlab.quad2cubic`
+- `mlab.distances_along_curve`
 - `mlab.path_length`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index d72e885eb02f..de068d984603 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2844,16 +2844,3 @@ def vector_lengths(X, P=2., axis=None):
     """
     X = np.asarray(X)
     return (np.sum(X**(P), axis=axis))**(1./P)
-
-
-@cbook.deprecated('2.2')
-def distances_along_curve(X):
-    """
-    Computes the distance between a set of successive points in *N* dimensions.
-
-    Where *X* is an *M* x *N* array or matrix.  The distances between
-    successive rows is computed.  Distance is the standard Euclidean
-    distance.
-    """
-    X = np.diff(X, axis=0)
-    return vector_lengths(X, axis=1)
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 03027f048ddc..da1aedb1e3ef 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,7 +231,7 @@
 from matplotlib.mlab import (
     amap, base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
-    distances_along_curve, exp_safe,
+    exp_safe,
     frange,
     identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,

From b2566e5d764639fbfaf68401a29f46057ec63842 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:15:44 +0100
Subject: [PATCH 24/66] Remove mlab.vector_lengths

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 18 ------------------
 lib/matplotlib/pylab.py                    |  1 -
 3 files changed, 1 insertion(+), 19 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 3e3361a4a6c0..53ef636355a4 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -29,6 +29,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.fftsurr`
 - `mlab.offset_line`
 - `mlab.quad2cubic`
+- `mlab.vector_lengths`
 - `mlab.distances_along_curve`
 - `mlab.path_length`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index de068d984603..20a40899c54a 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2826,21 +2826,3 @@ def cross_from_above(x, threshold):
         return ind+1
     else:
         return ind
-
-
-##################################################
-# Vector and path length geometry calculations
-##################################################
-@cbook.deprecated('2.2')
-def vector_lengths(X, P=2., axis=None):
-    """
-    Finds the length of a set of vectors in *n* dimensions.  This is
-    like the :func:`numpy.norm` function for vectors, but has the ability to
-    work over a particular axis of the supplied array or matrix.
-
-    Computes ``(sum((x_i)^P))^(1/P)`` for each ``{x_i}`` being the
-    elements of *X* along the given axis.  If *axis* is *None*,
-    compute over all elements of *X*.
-    """
-    X = np.asarray(X)
-    return (np.sum(X**(P), axis=axis))**(1./P)
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index da1aedb1e3ef..09e2879db1ee 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -237,7 +237,6 @@
     l2norm, log2, movavg, norm_flat,
     poly_below, poly_between,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
-    vector_lengths,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From e89fe8ec77c64b19409bb3f77f9a50173203b2d2 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:49:53 +0100
Subject: [PATCH 25/66] Remove mlab.cross_from_above and mlab.cross_from_below

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  2 +
 lib/matplotlib/mlab.py                     | 62 ----------------------
 2 files changed, 2 insertions(+), 62 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 53ef636355a4..9d86b9e01868 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -32,4 +32,6 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.vector_lengths`
 - `mlab.distances_along_curve`
 - `mlab.path_length`
+- `mlab.cross_from_above`
+- `mlab.cross_from_below`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 20a40899c54a..a9cbae423a71 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2764,65 +2764,3 @@ def contiguous_regions(mask):
     True and we cover all such regions
     """
     return cbook.contiguous_regions(mask)
-
-
-@cbook.deprecated("2.2")
-def cross_from_below(x, threshold):
-    """
-    return the indices into *x* where *x* crosses some threshold from
-    below, e.g., the i's where::
-
-      x[i-1]<threshold and x[i]>=threshold
-
-    Example code::
-
-        import matplotlib.pyplot as plt
-
-        t = np.arange(0.0, 2.0, 0.1)
-        s = np.sin(2*np.pi*t)
-
-        fig, ax = plt.subplots()
-        ax.plot(t, s, '-o')
-        ax.axhline(0.5)
-        ax.axhline(-0.5)
-
-        ind = cross_from_below(s, 0.5)
-        ax.vlines(t[ind], -1, 1)
-
-        ind = cross_from_above(s, -0.5)
-        ax.vlines(t[ind], -1, 1)
-
-        plt.show()
-
-    See Also
-    --------
-    :func:`cross_from_above` and :func:`contiguous_regions`
-
-    """
-    x = np.asarray(x)
-    ind = np.nonzero((x[:-1] < threshold) & (x[1:] >= threshold))[0]
-    if len(ind):
-        return ind+1
-    else:
-        return ind
-
-
-@cbook.deprecated("2.2")
-def cross_from_above(x, threshold):
-    """
-    return the indices into *x* where *x* crosses some threshold from
-    below, e.g., the i's where::
-
-      x[i-1]>threshold and x[i]<=threshold
-
-    See Also
-    --------
-    :func:`cross_from_below` and :func:`contiguous_regions`
-
-    """
-    x = np.asarray(x)
-    ind = np.nonzero((x[:-1] >= threshold) & (x[1:] < threshold))[0]
-    if len(ind):
-        return ind+1
-    else:
-        return ind

From 6ae60586c14b05d125a1c336fcdcc0d87cd1306d Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:53:07 +0100
Subject: [PATCH 26/66] Remove mlab.contiguous_regions

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     |  9 --------
 lib/matplotlib/tests/test_cbook.py         | 23 ++++++++++++++++++
 lib/matplotlib/tests/test_mlab.py          | 27 ----------------------
 4 files changed, 24 insertions(+), 36 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 9d86b9e01868..c5f1f951deb2 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -34,4 +34,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.path_length`
 - `mlab.cross_from_above`
 - `mlab.cross_from_below`
+- `mlab.contiguous_regions` (use `.cbook.contiguous_regions` instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index a9cbae423a71..5f38e41f7a40 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2755,12 +2755,3 @@ def is_closed_polygon(X):
     tests if that curve is closed.
     """
     return np.all(X[0] == X[-1])
-
-
-@cbook.deprecated("2.2", message='Moved to matplotlib.cbook')
-def contiguous_regions(mask):
-    """
-    return a list of (ind0, ind1) such that mask[ind0:ind1].all() is
-    True and we cover all such regions
-    """
-    return cbook.contiguous_regions(mask)
diff --git a/lib/matplotlib/tests/test_cbook.py b/lib/matplotlib/tests/test_cbook.py
index 8253b8a08da2..988fb2d83f85 100644
--- a/lib/matplotlib/tests/test_cbook.py
+++ b/lib/matplotlib/tests/test_cbook.py
@@ -503,3 +503,26 @@ class dummy():
     x = np.random.rand(3, 5)
     xnew = cbook._reshape_2D(x, 'x')
     assert np.shape(xnew) == (5, 3)
+
+
+def test_contiguous_regions():
+    a, b, c = 3, 4, 5
+    # Starts and ends with True
+    mask = [True]*a + [False]*b + [True]*c
+    expected = [(0, a), (a+b, a+b+c)]
+    assert cbook.contiguous_regions(mask) == expected
+    d, e = 6, 7
+    # Starts with True ends with False
+    mask = mask + [False]*e
+    assert cbook.contiguous_regions(mask) == expected
+    # Starts with False ends with True
+    mask = [False]*d + mask[:-e]
+    expected = [(d, d+a), (d+a+b, d+a+b+c)]
+    assert cbook.contiguous_regions(mask) == expected
+    # Starts and ends with False
+    mask = mask + [False]*e
+    assert cbook.contiguous_regions(mask) == expected
+    # No True in mask
+    assert cbook.contiguous_regions([False]*5) == []
+    # Empty mask
+    assert cbook.contiguous_regions([]) == []
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index 14145d41101c..af62c714885a 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -2274,33 +2274,6 @@ def test_evaluate_equal_dim_and_num_lt(self):
         np.testing.assert_array_almost_equal(y, y_expected, 7)
 
 
-def test_contiguous_regions():
-    a, b, c = 3, 4, 5
-    # Starts and ends with True
-    mask = [True]*a + [False]*b + [True]*c
-    expected = [(0, a), (a+b, a+b+c)]
-    with pytest.warns(MatplotlibDeprecationWarning):
-        assert mlab.contiguous_regions(mask) == expected
-    d, e = 6, 7
-    # Starts with True ends with False
-    mask = mask + [False]*e
-    with pytest.warns(MatplotlibDeprecationWarning):
-        assert mlab.contiguous_regions(mask) == expected
-    # Starts with False ends with True
-    mask = [False]*d + mask[:-e]
-    expected = [(d, d+a), (d+a+b, d+a+b+c)]
-    with pytest.warns(MatplotlibDeprecationWarning):
-        assert mlab.contiguous_regions(mask) == expected
-    # Starts and ends with False
-    mask = mask + [False]*e
-    with pytest.warns(MatplotlibDeprecationWarning):
-        assert mlab.contiguous_regions(mask) == expected
-        # No True in mask
-        assert mlab.contiguous_regions([False]*5) == []
-        # Empty mask
-        assert mlab.contiguous_regions([]) == []
-
-
 def test_psd_onesided_norm():
     u = np.array([0, 1, 2, 3, 1, 2, 1])
     dt = 1.0

From d0bda5e7253e9957a929554edf3bc62865594b97 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:54:15 +0100
Subject: [PATCH 27/66] Remove mlab.is_closed_polygon

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 10 ----------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 11 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index c5f1f951deb2..151aac26b935 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -35,4 +35,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.cross_from_above`
 - `mlab.cross_from_below`
 - `mlab.contiguous_regions` (use `.cbook.contiguous_regions` instead)
+- `mlab.is_closed_polygon`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 5f38e41f7a40..6db656b2db9d 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2745,13 +2745,3 @@ def poly_between(x, ylower, yupper):
     x = numpy.concatenate((x, x[::-1]))
     y = numpy.concatenate((yupper, ylower[::-1]))
     return x, y
-
-
-@cbook.deprecated('2.2')
-def is_closed_polygon(X):
-    """
-    Tests whether first and last object in a sequence are the same.  These are
-    presumably coordinates on a polygonal curve, in which case this function
-    tests if that curve is closed.
-    """
-    return np.all(X[0] == X[-1])
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 09e2879db1ee..fe8841b19888 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     exp_safe,
     frange,
-    identity, inside_poly, is_closed_polygon, ispower2, isvector, l1norm,
+    identity, inside_poly, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
     poly_below, poly_between,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,

From f4b13e9385c3d60585d62953c2bee92cccd73202 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:55:24 +0100
Subject: [PATCH 28/66] Remove mlab.poly_between

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 28 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 29 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 151aac26b935..92fd003fd603 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -36,4 +36,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.cross_from_below`
 - `mlab.contiguous_regions` (use `.cbook.contiguous_regions` instead)
 - `mlab.is_closed_polygon`
+- `mlab.poly_between`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 6db656b2db9d..654e178117bf 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2717,31 +2717,3 @@ def poly_below(xmin, xs, ys):
     y[:Nx] = ys
     y[Nx:] = ys[::-1]
     return x, y
-
-
-@cbook.deprecated("2.2")
-def poly_between(x, ylower, yupper):
-    """
-    Given a sequence of *x*, *ylower* and *yupper*, return the polygon
-    that fills the regions between them.  *ylower* or *yupper* can be
-    scalar or iterable.  If they are iterable, they must be equal in
-    length to *x*.
-
-    Return value is *x*, *y* arrays for use with
-    :meth:`matplotlib.axes.Axes.fill`.
-    """
-    if any(isinstance(var, np.ma.MaskedArray) for var in [ylower, yupper, x]):
-        numpy = np.ma
-    else:
-        numpy = np
-
-    Nx = len(x)
-    if not np.iterable(ylower):
-        ylower = ylower*numpy.ones(Nx)
-
-    if not np.iterable(yupper):
-        yupper = yupper*numpy.ones(Nx)
-
-    x = numpy.concatenate((x, x[::-1]))
-    y = numpy.concatenate((yupper, ylower[::-1]))
-    return x, y
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index fe8841b19888..66cb3b935896 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,7 @@
     frange,
     identity, inside_poly, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    poly_below, poly_between,
+    poly_below,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
     window_hanning, window_none)
 

From 2c861a3beff366de4cb62685dce4c2a327bb53bd Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:56:02 +0100
Subject: [PATCH 29/66] Remove mlab.poly_below

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 31 ----------------------
 lib/matplotlib/pylab.py                    |  1 -
 3 files changed, 1 insertion(+), 32 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 92fd003fd603..fde5e4821f2b 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -37,4 +37,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.contiguous_regions` (use `.cbook.contiguous_regions` instead)
 - `mlab.is_closed_polygon`
 - `mlab.poly_between`
+- `mlab.poly_below`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 654e178117bf..f20a5cf1be60 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2686,34 +2686,3 @@ def inside_poly(points, verts):
 
     # Check to see which points are contained within the Path
     return [idx for idx, p in enumerate(points) if poly.contains_point(p)]
-
-
-@cbook.deprecated("2.2")
-def poly_below(xmin, xs, ys):
-    """
-    Given a sequence of *xs* and *ys*, return the vertices of a
-    polygon that has a horizontal base at *xmin* and an upper bound at
-    the *ys*.  *xmin* is a scalar.
-
-    Intended for use with :meth:`matplotlib.axes.Axes.fill`, e.g.,::
-
-      xv, yv = poly_below(0, x, y)
-      ax.fill(xv, yv)
-    """
-    if any(isinstance(var, np.ma.MaskedArray) for var in [xs, ys]):
-        numpy = np.ma
-    else:
-        numpy = np
-
-    xs = numpy.asarray(xs)
-    ys = numpy.asarray(ys)
-    Nx = len(xs)
-    Ny = len(ys)
-    if Nx != Ny:
-        raise ValueError("'xs' and 'ys' must have the same length")
-    x = xmin*numpy.ones(2*Nx)
-    y = numpy.ones(2*Nx)
-    x[:Nx] = xs
-    y[:Nx] = ys
-    y[Nx:] = ys[::-1]
-    return x, y
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 66cb3b935896..575e50f0d759 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,6 @@
     frange,
     identity, inside_poly, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    poly_below,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
     window_hanning, window_none)
 

From 3d8bce1240a3af86c3bd72b5d6577625b3366c50 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Thu, 20 Sep 2018 12:56:56 +0100
Subject: [PATCH 30/66] Remove mlab.inside_poly

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 19 -------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 20 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index fde5e4821f2b..5e8cbf3da528 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -38,4 +38,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.is_closed_polygon`
 - `mlab.poly_between`
 - `mlab.poly_below`
+- `mlab.inside_poly`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index f20a5cf1be60..1bc2252ef702 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2667,22 +2667,3 @@ def evaluate(self, points):
         return result
 
     __call__ = evaluate
-
-
-##################################################
-# Code related to things in and around polygons
-##################################################
-@cbook.deprecated("2.2")
-def inside_poly(points, verts):
-    """
-    *points* is a sequence of *x*, *y* points.
-    *verts* is a sequence of *x*, *y* vertices of a polygon.
-
-    Return value is a sequence of indices into points for the points
-    that are inside the polygon.
-    """
-    # Make a closed polygon path
-    poly = Path(verts)
-
-    # Check to see which points are contained within the Path
-    return [idx for idx, p in enumerate(points) if poly.contains_point(p)]
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 575e50f0d759..810426345849 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     exp_safe,
     frange,
-    identity, inside_poly, ispower2, isvector, l1norm,
+    identity, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
     rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
     window_hanning, window_none)

From f882efd62d3a8c9f930c249587055545e1495aff Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:39:12 +0100
Subject: [PATCH 31/66] Remove mlab.rec2csv

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 72 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 lib/matplotlib/tests/test_mlab.py          | 26 --------
 4 files changed, 2 insertions(+), 99 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 5e8cbf3da528..6f29ef18968c 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -39,4 +39,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.poly_between`
 - `mlab.poly_below`
 - `mlab.inside_poly`
+- `mlab.rec2csv` (use numpy.recarray.tofile instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 1bc2252ef702..9d3980ac7226 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2441,78 +2441,6 @@ def format(item, just_pad_prec_spacer):
     return text
 
 
-@cbook.deprecated("2.2", alternative='numpy.recarray.tofile')
-def rec2csv(r, fname, delimiter=',', formatd=None, missing='',
-            missingd=None, withheader=True):
-    """
-    Save the data from numpy recarray *r* into a
-    comma-/space-/tab-delimited file.  The record array dtype names
-    will be used for column headers.
-
-    *fname*: can be a filename or a file handle.  Support for gzipped
-      files is automatic, if the filename ends in '.gz'
-
-    *withheader*: if withheader is False, do not write the attribute
-      names in the first row
-
-    for formatd type FormatFloat, we override the precision to store
-    full precision floats in the CSV file
-
-    See Also
-    --------
-    :func:`csv2rec`
-        For information about *missing* and *missingd*, which can be used to
-        fill in masked values into your CSV file.
-    """
-
-    delimiter = str(delimiter)
-
-    if missingd is None:
-        missingd = dict()
-
-    def with_mask(func):
-        def newfunc(val, mask, mval):
-            if mask:
-                return mval
-            else:
-                return func(val)
-        return newfunc
-
-    if r.ndim != 1:
-        raise ValueError('rec2csv only operates on 1 dimensional recarrays')
-
-    formatd = get_formatd(r, formatd)
-    funcs = []
-    for i, name in enumerate(r.dtype.names):
-        funcs.append(with_mask(csvformat_factory(formatd[name]).tostr))
-
-    fh, opened = cbook.to_filehandle(fname, 'wb', return_opened=True)
-    writer = csv.writer(fh, delimiter=delimiter)
-    header = r.dtype.names
-    if withheader:
-        writer.writerow(header)
-
-    # Our list of specials for missing values
-    mvals = []
-    for name in header:
-        mvals.append(missingd.get(name, missing))
-
-    ismasked = False
-    if len(r):
-        row = r[0]
-        ismasked = hasattr(row, '_fieldmask')
-
-    for row in r:
-        if ismasked:
-            row, rowmask = row.item(), row._fieldmask.item()
-        else:
-            rowmask = [False] * len(row)
-        writer.writerow([func(val, mask, mval) for func, val, mask, mval
-                         in zip(funcs, row, rowmask, mvals)])
-    if opened:
-        fh.close()
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 810426345849..f2b51042d502 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,7 @@
     frange,
     identity, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    rec2csv, rec_append_fields, rec_drop_fields, rec_join, rms_flat,
+    rec_append_fields, rec_drop_fields, rec_join, rms_flat,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index af62c714885a..cd40be410deb 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -150,32 +150,6 @@ def tempcsv():
         yield fd
 
 
-def test_recarray_csv_roundtrip(tempcsv):
-    expected = np.recarray((99,), [('x', float), ('y', float), ('t', float)])
-    # initialising all values: uninitialised memory sometimes produces
-    # floats that do not round-trip to string and back.
-    expected['x'][:] = np.linspace(-1e9, -1, 99)
-    expected['y'][:] = np.linspace(1, 1e9, 99)
-    expected['t'][:] = np.linspace(0, 0.01, 99)
-    with pytest.warns(MatplotlibDeprecationWarning):
-        mlab.rec2csv(expected, tempcsv)
-        tempcsv.seek(0)
-        actual = mlab.csv2rec(tempcsv)
-
-    assert_allclose(expected['x'], actual['x'])
-    assert_allclose(expected['y'], actual['y'])
-    assert_allclose(expected['t'], actual['t'])
-
-
-def test_rec2csv_bad_shape_ValueError(tempcsv):
-    bad = np.recarray((99, 4), [('x', float), ('y', float)])
-
-    # the bad recarray should trigger a ValueError for having ndim > 1.
-    with pytest.warns(MatplotlibDeprecationWarning):
-        with pytest.raises(ValueError):
-            mlab.rec2csv(bad, tempcsv)
-
-
 def test_csv2rec_names_with_comments(tempcsv):
 
     tempcsv.write('# comment\n1,2,3\n4,5,6\n')

From f1c3ee338daa52fb5da65489444aca5b18090a76 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:40:24 +0100
Subject: [PATCH 32/66] Remove mlab.rec2txt

---
 doc/api/next_api_changes/2018-09-18-DS.rst |   1 +
 lib/matplotlib/mlab.py                     | 121 ---------------------
 lib/matplotlib/tests/test_mlab.py          |  14 ---
 3 files changed, 1 insertion(+), 135 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 6f29ef18968c..392cde0fd65a 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -40,4 +40,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.poly_below`
 - `mlab.inside_poly`
 - `mlab.rec2csv` (use numpy.recarray.tofile instead)
+- `mlab.rec2text` (use numpy.recarray.tofile instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 9d3980ac7226..564fffea2788 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2320,127 +2320,6 @@ def csvformat_factory(format):
     return format
 
 
-@cbook.deprecated("2.2", alternative='numpy.recarray.tofile')
-def rec2txt(r, header=None, padding=3, precision=3, fields=None):
-    """
-    Returns a textual representation of a record array.
-
-    Parameters
-    ----------
-    r: numpy recarray
-
-    header: list
-        column headers
-
-    padding:
-        space between each column
-
-    precision: number of decimal places to use for floats.
-        Set to an integer to apply to all floats.  Set to a
-        list of integers to apply precision individually.
-        Precision for non-floats is simply ignored.
-
-    fields : list
-        If not None, a list of field names to print.  fields
-        can be a list of strings like ['field1', 'field2'] or a single
-        comma separated string like 'field1,field2'
-
-    Examples
-    --------
-
-    For ``precision=[0,2,3]``, the output is ::
-
-      ID    Price   Return
-      ABC   12.54    0.234
-      XYZ    6.32   -0.076
-    """
-
-    if fields is not None:
-        r = rec_keep_fields(r, fields)
-
-    if cbook.is_numlike(precision):
-        precision = [precision]*len(r.dtype)
-
-    def get_type(item, atype=int):
-        tdict = {None: int, int: float, float: str}
-        try:
-            atype(str(item))
-        except Exception:
-            return get_type(item, tdict[atype])
-        return atype
-
-    def get_justify(colname, column, precision):
-        ntype = column.dtype
-
-        if np.issubdtype(ntype, np.character):
-            fixed_width = int(ntype.str[2:])
-            length = max(len(colname), fixed_width)
-            return 0, length+padding, "%s"  # left justify
-
-        if np.issubdtype(ntype, np.integer):
-            length = max(len(colname),
-                         np.max(list(map(len, list(map(str, column))))))
-            return 1, length+padding, "%d"  # right justify
-
-        if np.issubdtype(ntype, np.floating):
-            fmt = "%." + str(precision) + "f"
-            length = max(
-                len(colname),
-                np.max(list(map(len, list(map(lambda x: fmt % x, column)))))
-            )
-            return 1, length+padding, fmt   # right justify
-
-        return (0,
-                max(len(colname),
-                    np.max(list(map(len, list(map(str, column))))))+padding,
-                "%s")
-
-    if header is None:
-        header = r.dtype.names
-
-    justify_pad_prec = [get_justify(header[i], r.__getitem__(colname),
-                                    precision[i])
-                        for i, colname in enumerate(r.dtype.names)]
-
-    justify_pad_prec_spacer = []
-    for i in range(len(justify_pad_prec)):
-        just, pad, prec = justify_pad_prec[i]
-        if i == 0:
-            justify_pad_prec_spacer.append((just, pad, prec, 0))
-        else:
-            pjust, ppad, pprec = justify_pad_prec[i-1]
-            if pjust == 0 and just == 1:
-                justify_pad_prec_spacer.append((just, pad-padding, prec, 0))
-            elif pjust == 1 and just == 0:
-                justify_pad_prec_spacer.append((just, pad, prec, padding))
-            else:
-                justify_pad_prec_spacer.append((just, pad, prec, 0))
-
-    def format(item, just_pad_prec_spacer):
-        just, pad, prec, spacer = just_pad_prec_spacer
-        if just == 0:
-            return spacer*' ' + str(item).ljust(pad)
-        else:
-            if get_type(item) == float:
-                item = (prec % float(item))
-            elif get_type(item) == int:
-                item = (prec % int(item))
-
-            return item.rjust(pad)
-
-    textl = []
-    textl.append(''.join([format(colitem, justify_pad_prec_spacer[j])
-                          for j, colitem in enumerate(header)]))
-    for i, row in enumerate(r):
-        textl.append(''.join([format(colitem, justify_pad_prec_spacer[j])
-                              for j, colitem in enumerate(row)]))
-        if i == 0:
-            textl[0] = textl[0].rstrip()
-
-    text = os.linesep.join(textl)
-    return text
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index cd40be410deb..7fe4dd7d8fe6 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -193,20 +193,6 @@ def test_csv2rec_dates(tempcsv, input, kwargs):
     assert_array_equal(array['a'].tolist(), expected)
 
 
-def test_rec2txt_basic():
-    a = np.array([(1.0, 2, 'foo', 'bing'),
-                  (2.0, 3, 'bar', 'blah')],
-                 dtype=np.dtype([('x', np.float32),
-                                 ('y', np.int8),
-                                 ('s', str, 3),
-                                 ('s2', str, 4)]))
-    truth = ('       x   y   s     s2\n'
-             '   1.000   2   foo   bing   \n'
-             '   2.000   3   bar   blah   ').splitlines()
-    with pytest.warns(MatplotlibDeprecationWarning):
-        assert mlab.rec2txt(a).splitlines() == truth
-
-
 class TestWindow(object):
     def setup(self):
         np.random.seed(0)

From e6345ead4b7469115fbc78c3f39bcae7c61ae45b Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:41:04 +0100
Subject: [PATCH 33/66] Remove mlab.csvformat_factory

---
 doc/api/next_api_changes/2018-09-18-DS.rst | 1 +
 lib/matplotlib/mlab.py                     | 9 ---------
 2 files changed, 1 insertion(+), 9 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 392cde0fd65a..91631a35040d 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -41,4 +41,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.inside_poly`
 - `mlab.rec2csv` (use numpy.recarray.tofile instead)
 - `mlab.rec2text` (use numpy.recarray.tofile instead)
+- `mlab.csvformat_factory`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 564fffea2788..226468d79333 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2311,15 +2311,6 @@ def get_formatd(r, formatd=None):
     return formatd
 
 
-@cbook.deprecated("2.2")
-def csvformat_factory(format):
-    format = copy.deepcopy(format)
-    if isinstance(format, FormatFloat):
-        format.scale = 1.  # override scaling for storage
-        format.fmt = '%r'
-    return format
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.

From 52b55de4500f844c03f0f9f34d4fdeb1947376e1 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:42:19 +0100
Subject: [PATCH 34/66] Remove mlab.get_formatd

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 25 ----------------------
 2 files changed, 1 insertion(+), 25 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 91631a35040d..e2a705d41f6c 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -42,4 +42,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.rec2csv` (use numpy.recarray.tofile instead)
 - `mlab.rec2text` (use numpy.recarray.tofile instead)
 - `mlab.csvformat_factory`
+- `mlab.get_formatd`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 226468d79333..d4f458028726 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2286,31 +2286,6 @@ def fromstr(self, x):
         return dateutil.parser.parse(x)
 
 
-@cbook.deprecated("2.2")
-def get_formatd(r, formatd=None):
-    'build a formatd guaranteed to have a key for every dtype name'
-    defaultformatd = {
-        np.bool_: FormatBool(),
-        np.int16: FormatInt(),
-        np.int32: FormatInt(),
-        np.int64: FormatInt(),
-        np.float32: FormatFloat(),
-        np.float64: FormatFloat(),
-        np.object_: FormatObj(),
-        np.string_: FormatString()}
-
-    if formatd is None:
-        formatd = dict()
-
-    for i, name in enumerate(r.dtype.names):
-        dt = r.dtype[name]
-        format = formatd.get(name)
-        if format is None:
-            format = defaultformatd.get(dt.type, FormatObj())
-        formatd[name] = format
-    return formatd
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.

From 197228dc3adba901a18b370d544894d461344dbf Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:44:41 +0100
Subject: [PATCH 35/66] Remove mlab.FormatDatetime

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 10 ----------
 2 files changed, 1 insertion(+), 10 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index e2a705d41f6c..74a419581da8 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -43,4 +43,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.rec2text` (use numpy.recarray.tofile instead)
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
+- `mlab.FormatDatetime` (use datetime.strftime instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index d4f458028726..2e9b094cb625 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2276,16 +2276,6 @@ def fromstr(self, x):
         return dateutil.parser.parse(x).date()
 
 
-@cbook.deprecated("2.2", alternative='datetime.strftime')
-class FormatDatetime(FormatDate):
-    def __init__(self, fmt='%Y-%m-%d %H:%M:%S'):
-        FormatDate.__init__(self, fmt)
-
-    def fromstr(self, x):
-        import dateutil.parser
-        return dateutil.parser.parse(x)
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.

From ff137b6feaed9023fdbbb48523c845d92cbde418 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:45:07 +0100
Subject: [PATCH 36/66] Remove mlab.FormatDate

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 18 ------------------
 2 files changed, 1 insertion(+), 18 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 74a419581da8..ccb7264874b1 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -44,4 +44,5 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
 - `mlab.FormatDatetime` (use datetime.strftime instead)
+- `mlab.FormatDate` (use date.strftime instead)
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 2e9b094cb625..7c4a0541d8af 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2258,24 +2258,6 @@ def __init__(self, precision=4):
         FormatFloat.__init__(self, precision, scale=1e-6)
 
 
-@cbook.deprecated("2.2", alternative='date.strftime')
-class FormatDate(FormatObj):
-    def __init__(self, fmt):
-        self.fmt = fmt
-
-    def __hash__(self):
-        return hash((self.__class__, self.fmt))
-
-    def toval(self, x):
-        if x is None:
-            return 'None'
-        return x.strftime(self.fmt)
-
-    def fromstr(self, x):
-        import dateutil.parser
-        return dateutil.parser.parse(x).date()
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.

From b54296153851fcf6d43bfe3dd48b390f096d22b9 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:47:33 +0100
Subject: [PATCH 37/66] Remove mlab.Format... classes

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  3 +
 lib/matplotlib/mlab.py                     | 97 ----------------------
 2 files changed, 3 insertions(+), 97 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index ccb7264874b1..9b8e119147b1 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -45,4 +45,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.get_formatd`
 - `mlab.FormatDatetime` (use datetime.strftime instead)
 - `mlab.FormatDate` (use date.strftime instead)
+- `mlab.FormatMillions`, `mlab.FormatThousands`, `mlab.FormatPercent`,
+  `mlab.FormatBool`, `mlab.FormatInt`, `mlab.FormatFloat`,
+  `mlab.FormatFormatStr`, `mlab.FormatString`, `mlab.FormatObj`
 - `mlab.donothing_callback`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 7c4a0541d8af..3c6271ea9bf1 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -2161,103 +2161,6 @@ def get_converters(reader, comments):
     return r
 
 
-# a series of classes for describing the format intentions of various rec views
-@cbook.deprecated("2.2")
-class FormatObj(object):
-    def tostr(self, x):
-        return self.toval(x)
-
-    def toval(self, x):
-        return str(x)
-
-    def fromstr(self, s):
-        return s
-
-    def __hash__(self):
-        """
-        override the hash function of any of the formatters, so that we don't
-        create duplicate excel format styles
-        """
-        return hash(self.__class__)
-
-
-@cbook.deprecated("2.2")
-class FormatString(FormatObj):
-    def tostr(self, x):
-        val = repr(x)
-        return val[1:-1]
-
-
-@cbook.deprecated("2.2")
-class FormatFormatStr(FormatObj):
-    def __init__(self, fmt):
-        self.fmt = fmt
-
-    def tostr(self, x):
-        if x is None:
-            return 'None'
-        return self.fmt % self.toval(x)
-
-
-@cbook.deprecated("2.2")
-class FormatFloat(FormatFormatStr):
-    def __init__(self, precision=4, scale=1.):
-        FormatFormatStr.__init__(self, '%%1.%df' % precision)
-        self.precision = precision
-        self.scale = scale
-
-    def __hash__(self):
-        return hash((self.__class__, self.precision, self.scale))
-
-    def toval(self, x):
-        if x is not None:
-            x = x * self.scale
-        return x
-
-    def fromstr(self, s):
-        return float(s)/self.scale
-
-
-@cbook.deprecated("2.2")
-class FormatInt(FormatObj):
-
-    def tostr(self, x):
-        return '%d' % int(x)
-
-    def toval(self, x):
-        return int(x)
-
-    def fromstr(self, s):
-        return int(s)
-
-
-@cbook.deprecated("2.2")
-class FormatBool(FormatObj):
-    def toval(self, x):
-        return str(x)
-
-    def fromstr(self, s):
-        return bool(s)
-
-
-@cbook.deprecated("2.2")
-class FormatPercent(FormatFloat):
-    def __init__(self, precision=4):
-        FormatFloat.__init__(self, precision, scale=100.)
-
-
-@cbook.deprecated("2.2")
-class FormatThousands(FormatFloat):
-    def __init__(self, precision=4):
-        FormatFloat.__init__(self, precision, scale=1e-3)
-
-
-@cbook.deprecated("2.2")
-class FormatMillions(FormatFloat):
-    def __init__(self, precision=4):
-        FormatFloat.__init__(self, precision, scale=1e-6)
-
-
 class GaussianKDE(object):
     """
     Representation of a kernel-density estimate using Gaussian kernels.

From 6de5073ee0b9275e1db75461e0303af963e5816c Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:49:41 +0100
Subject: [PATCH 38/66] Remove mlab.recs_join

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 59 ----------------------
 2 files changed, 1 insertion(+), 59 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 9b8e119147b1..e357de36fbb0 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -41,6 +41,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.inside_poly`
 - `mlab.rec2csv` (use numpy.recarray.tofile instead)
 - `mlab.rec2text` (use numpy.recarray.tofile instead)
+- `mlab.recs_join`
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
 - `mlab.FormatDatetime` (use datetime.strftime instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 3c6271ea9bf1..67272f579199 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1821,65 +1821,6 @@ def mapped_r2field(name):
     return newrec
 
 
-@cbook.deprecated("2.2")
-def recs_join(key, name, recs, jointype='outer', missing=0., postfixes=None):
-    """
-    Join a sequence of record arrays on single column key.
-
-    This function only joins a single column of the multiple record arrays
-
-    *key*
-      is the column name that acts as a key
-
-    *name*
-      is the name of the column that we want to join
-
-    *recs*
-      is a list of record arrays to join
-
-    *jointype*
-      is a string 'inner' or 'outer'
-
-    *missing*
-      is what any missing field is replaced by
-
-    *postfixes*
-      if not None, a len recs sequence of postfixes
-
-    returns a record array with columns [rowkey, name0, name1, ... namen-1].
-    or if postfixes [PF0, PF1, ..., PFN-1] are supplied,
-    [rowkey, namePF0, namePF1, ... namePFN-1].
-
-    Example::
-
-      r = recs_join("date", "close", recs=[r0, r1], missing=0.)
-
-    """
-    results = []
-    aligned_iters = cbook.align_iterators(operator.attrgetter(key),
-                                          *[iter(r) for r in recs])
-
-    def extract(r):
-        if r is None:
-            return missing
-        else:
-            return r[name]
-
-    if jointype == "outer":
-        for rowkey, row in aligned_iters:
-            results.append([rowkey] + list(map(extract, row)))
-    elif jointype == "inner":
-        for rowkey, row in aligned_iters:
-            if None not in row:  # throw out any Nones
-                results.append([rowkey] + list(map(extract, row)))
-
-    if postfixes is None:
-        postfixes = ['%d' % i for i in range(len(recs))]
-    names = ",".join([key] + ["%s%s" % (name, postfix)
-                              for postfix in postfixes])
-    return np.rec.fromrecords(results, names=names)
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,

From be0ddcaf6468e0e4e5b7fef152e4e25cf2622984 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:50:49 +0100
Subject: [PATCH 39/66] Remove mlab.rec_join

---
 doc/api/next_api_changes/2018-09-18-DS.rst |   1 +
 lib/matplotlib/mlab.py                     | 142 ---------------------
 lib/matplotlib/pylab.py                    |   2 +-
 3 files changed, 2 insertions(+), 143 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index e357de36fbb0..1f6538b6c9b8 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -41,6 +41,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.inside_poly`
 - `mlab.rec2csv` (use numpy.recarray.tofile instead)
 - `mlab.rec2text` (use numpy.recarray.tofile instead)
+- `mlab.rec_join`
 - `mlab.recs_join`
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 67272f579199..fd336b7e1c23 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1679,148 +1679,6 @@ def rec_summarize(r, summaryfuncs):
     return np.rec.fromarrays(arrays, names=names)
 
 
-@cbook.deprecated("2.2")
-def rec_join(key, r1, r2, jointype='inner', defaults=None, r1postfix='1',
-             r2postfix='2'):
-    """
-    Join record arrays *r1* and *r2* on *key*; *key* is a tuple of
-    field names -- if *key* is a string it is assumed to be a single
-    attribute name. If *r1* and *r2* have equal values on all the keys
-    in the *key* tuple, then their fields will be merged into a new
-    record array containing the intersection of the fields of *r1* and
-    *r2*.
-
-    *r1* (also *r2*) must not have any duplicate keys.
-
-    The *jointype* keyword can be 'inner', 'outer', 'leftouter'.  To
-    do a rightouter join just reverse *r1* and *r2*.
-
-    The *defaults* keyword is a dictionary filled with
-    ``{column_name:default_value}`` pairs.
-
-    The keywords *r1postfix* and *r2postfix* are postfixed to column names
-    (other than keys) that are both in *r1* and *r2*.
-    """
-
-    if isinstance(key, str):
-        key = (key, )
-
-    for name in key:
-        if name not in r1.dtype.names:
-            raise ValueError('r1 does not have key field %s' % name)
-        if name not in r2.dtype.names:
-            raise ValueError('r2 does not have key field %s' % name)
-
-    def makekey(row):
-        return tuple([row[name] for name in key])
-
-    r1d = {makekey(row): i for i, row in enumerate(r1)}
-    r2d = {makekey(row): i for i, row in enumerate(r2)}
-
-    r1keys = set(r1d)
-    r2keys = set(r2d)
-
-    common_keys = r1keys & r2keys
-
-    r1ind = np.array([r1d[k] for k in common_keys])
-    r2ind = np.array([r2d[k] for k in common_keys])
-
-    common_len = len(common_keys)
-    left_len = right_len = 0
-    if jointype == "outer" or jointype == "leftouter":
-        left_keys = r1keys.difference(r2keys)
-        left_ind = np.array([r1d[k] for k in left_keys])
-        left_len = len(left_ind)
-    if jointype == "outer":
-        right_keys = r2keys.difference(r1keys)
-        right_ind = np.array([r2d[k] for k in right_keys])
-        right_len = len(right_ind)
-
-    def key_desc(name):
-        '''
-        if name is a string key, use the larger size of r1 or r2 before
-        merging
-        '''
-        dt1 = r1.dtype[name]
-        if dt1.type != np.string_:
-            return (name, dt1.descr[0][1])
-
-        dt2 = r2.dtype[name]
-        if dt1 != dt2:
-            raise ValueError("The '{}' fields in arrays 'r1' and 'r2' must "
-                             "have the same dtype".format(name))
-        if dt1.num > dt2.num:
-            return (name, dt1.descr[0][1])
-        else:
-            return (name, dt2.descr[0][1])
-
-    keydesc = [key_desc(name) for name in key]
-
-    def mapped_r1field(name):
-        """
-        The column name in *newrec* that corresponds to the column in *r1*.
-        """
-        if name in key or name not in r2.dtype.names:
-            return name
-        else:
-            return name + r1postfix
-
-    def mapped_r2field(name):
-        """
-        The column name in *newrec* that corresponds to the column in *r2*.
-        """
-        if name in key or name not in r1.dtype.names:
-            return name
-        else:
-            return name + r2postfix
-
-    r1desc = [(mapped_r1field(desc[0]), desc[1]) for desc in r1.dtype.descr
-              if desc[0] not in key]
-    r2desc = [(mapped_r2field(desc[0]), desc[1]) for desc in r2.dtype.descr
-              if desc[0] not in key]
-    all_dtypes = keydesc + r1desc + r2desc
-    newdtype = np.dtype(all_dtypes)
-    newrec = np.recarray((common_len + left_len + right_len,), dtype=newdtype)
-
-    if defaults is not None:
-        for thiskey in defaults:
-            if thiskey not in newdtype.names:
-                warnings.warn('rec_join defaults key="%s" not in new dtype '
-                              'names "%s"' % (thiskey, newdtype.names))
-
-    for name in newdtype.names:
-        dt = newdtype[name]
-        if dt.kind in ('f', 'i'):
-            newrec[name] = 0
-
-    if jointype != 'inner' and defaults is not None:
-        # fill in the defaults enmasse
-        newrec_fields = list(newrec.dtype.fields)
-        for k, v in defaults.items():
-            if k in newrec_fields:
-                newrec[k] = v
-
-    for field in r1.dtype.names:
-        newfield = mapped_r1field(field)
-        if common_len:
-            newrec[newfield][:common_len] = r1[field][r1ind]
-        if (jointype == "outer" or jointype == "leftouter") and left_len:
-            newrec[newfield][common_len:(common_len+left_len)] = (
-                r1[field][left_ind]
-            )
-
-    for field in r2.dtype.names:
-        newfield = mapped_r2field(field)
-        if field not in key and common_len:
-            newrec[newfield][:common_len] = r2[field][r2ind]
-        if jointype == "outer" and right_len:
-            newrec[newfield][-right_len:] = r2[field][right_ind]
-
-    newrec.sort(order=key)
-
-    return newrec
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index f2b51042d502..41951ba02728 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,7 @@
     frange,
     identity, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    rec_append_fields, rec_drop_fields, rec_join, rms_flat,
+    rec_append_fields, rec_drop_fields, rms_flat,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From 5b11761cf19711ec95bd081060230826131760a7 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:51:25 +0100
Subject: [PATCH 40/66] Remove mlab.rec_summarize

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 23 ----------------------
 2 files changed, 1 insertion(+), 23 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 1f6538b6c9b8..2c875bc1725c 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -41,6 +41,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.inside_poly`
 - `mlab.rec2csv` (use numpy.recarray.tofile instead)
 - `mlab.rec2text` (use numpy.recarray.tofile instead)
+- `mlab.rec_summarize`
 - `mlab.rec_join`
 - `mlab.recs_join`
 - `mlab.csvformat_factory`
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index fd336b7e1c23..571568f7adc8 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1656,29 +1656,6 @@ def rec_groupby(r, groupby, stats):
     return np.rec.fromrecords(rows, names=names)
 
 
-@cbook.deprecated("2.2")
-def rec_summarize(r, summaryfuncs):
-    """
-    *r* is a numpy record array
-
-    *summaryfuncs* is a list of (*attr*, *func*, *outname*) tuples
-    which will apply *func* to the array *r*[attr] and assign the
-    output to a new attribute name *outname*.  The returned record
-    array is identical to *r*, with extra arrays for each element in
-    *summaryfuncs*.
-
-    """
-
-    names = list(r.dtype.names)
-    arrays = [r[name] for name in names]
-
-    for attr, func, outname in summaryfuncs:
-        names.append(outname)
-        arrays.append(np.asarray(func(r[attr])))
-
-    return np.rec.fromarrays(arrays, names=names)
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,

From 74747467f106ac659c3cbc8934572bf3677f6ee0 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:58:05 +0100
Subject: [PATCH 41/66] Remove mlab.rec_groupby

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 44 ----------------------
 2 files changed, 1 insertion(+), 44 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 2c875bc1725c..e155ef3b401e 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -44,6 +44,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.rec_summarize`
 - `mlab.rec_join`
 - `mlab.recs_join`
+- `mlab.rec_groupby`
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
 - `mlab.FormatDatetime` (use datetime.strftime instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 571568f7adc8..6b37f9fdcbad 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1612,50 +1612,6 @@ def rec_keep_fields(rec, names):
     return np.rec.fromarrays(arrays, names=names)
 
 
-@cbook.deprecated("2.2")
-def rec_groupby(r, groupby, stats):
-    """
-    *r* is a numpy record array
-
-    *groupby* is a sequence of record array attribute names that
-    together form the grouping key.  e.g., ('date', 'productcode')
-
-    *stats* is a sequence of (*attr*, *func*, *outname*) tuples which
-    will call ``x = func(attr)`` and assign *x* to the record array
-    output with attribute *outname*.  For example::
-
-      stats = ( ('sales', len, 'numsales'), ('sales', np.mean, 'avgsale') )
-
-    Return record array has *dtype* names for each attribute name in
-    the *groupby* argument, with the associated group values, and
-    for each outname name in the *stats* argument, with the associated
-    stat summary output.
-    """
-    # build a dictionary from groupby keys-> list of indices into r with
-    # those keys
-    rowd = {}
-    for i, row in enumerate(r):
-        key = tuple([row[attr] for attr in groupby])
-        rowd.setdefault(key, []).append(i)
-
-    rows = []
-    # sort the output by groupby keys
-    for key in sorted(rowd):
-        row = list(key)
-        # get the indices for this groupby key
-        ind = rowd[key]
-        thisr = r[ind]
-        # call each stat function for this groupby slice
-        row.extend([func(thisr[attr]) for attr, func, outname in stats])
-        rows.append(row)
-
-    # build the output record array with groupby and outname attributes
-    attrs, funcs, outnames = list(zip(*stats))
-    names = list(groupby)
-    names.extend(outnames)
-    return np.rec.fromrecords(rows, names=names)
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,

From 7c7d8597c60ee4a9b6e0a435e7b7db9eedfa65af Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:58:33 +0100
Subject: [PATCH 42/66] Remove mlab.rec_keep_fields

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 16 ----------------
 2 files changed, 1 insertion(+), 16 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index e155ef3b401e..7b45537fb994 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -45,6 +45,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.rec_join`
 - `mlab.recs_join`
 - `mlab.rec_groupby`
+- `mlab.rec_keep_fields`
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
 - `mlab.FormatDatetime` (use datetime.strftime instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 6b37f9fdcbad..3ad48d41fab0 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1596,22 +1596,6 @@ def rec_drop_fields(rec, names):
     return newrec
 
 
-@cbook.deprecated("2.2")
-def rec_keep_fields(rec, names):
-    """
-    Return a new numpy record array with only fields listed in names
-    """
-
-    if isinstance(names, str):
-        names = names.split(',')
-
-    arrays = []
-    for name in names:
-        arrays.append(rec[name])
-
-    return np.rec.fromarrays(arrays, names=names)
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,

From afcb2b6e8cfa65e28c404f5e2e54b4bc4cc77fb1 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 11:59:29 +0100
Subject: [PATCH 43/66] Remove mlab.rec_drop_fields

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 18 ------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 19 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 7b45537fb994..68e1e3cef1aa 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -46,6 +46,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.recs_join`
 - `mlab.rec_groupby`
 - `mlab.rec_keep_fields`
+- `mlab.rec_drop_fields`
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
 - `mlab.FormatDatetime` (use datetime.strftime instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 3ad48d41fab0..101b64904146 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1578,24 +1578,6 @@ def rec_append_fields(rec, names, arrs, dtypes=None):
     return newrec
 
 
-@cbook.deprecated("2.2")
-def rec_drop_fields(rec, names):
-    """
-    Return a new numpy record array with fields in *names* dropped.
-    """
-
-    names = set(names)
-
-    newdtype = np.dtype([(name, rec.dtype[name]) for name in rec.dtype.names
-                         if name not in names])
-
-    newrec = np.recarray(rec.shape, dtype=newdtype)
-    for field in newdtype.names:
-        newrec[field] = rec[field]
-
-    return newrec
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 41951ba02728..7878fdac1d6f 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,7 @@
     frange,
     identity, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    rec_append_fields, rec_drop_fields, rms_flat,
+    rec_append_fields, rms_flat,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From ac0fc0849898bb555d1dbfd3dfb479f808efc64b Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Fri, 21 Sep 2018 12:00:10 +0100
Subject: [PATCH 44/66] Remove mlab.rec_append_fields

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 35 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 36 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 68e1e3cef1aa..7a1c879d00ae 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -47,6 +47,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.rec_groupby`
 - `mlab.rec_keep_fields`
 - `mlab.rec_drop_fields`
+- `mlab.rec_append_fields`
 - `mlab.csvformat_factory`
 - `mlab.get_formatd`
 - `mlab.FormatDatetime` (use datetime.strftime instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 101b64904146..4c497299eff2 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1543,41 +1543,6 @@ def safe_isinf(x):
         return b
 
 
-@cbook.deprecated("2.2")
-def rec_append_fields(rec, names, arrs, dtypes=None):
-    """
-    Return a new record array with field names populated with data
-    from arrays in *arrs*.  If appending a single field, then *names*,
-    *arrs* and *dtypes* do not have to be lists. They can just be the
-    values themselves.
-    """
-    if (not isinstance(names, str) and np.iterable(names)
-            and len(names) and isinstance(names[0], str)):
-        if len(names) != len(arrs):
-            raise ValueError("number of arrays do not match number of names")
-    else:  # we have only 1 name and 1 array
-        names = [names]
-        arrs = [arrs]
-    arrs = list(map(np.asarray, arrs))
-    if dtypes is None:
-        dtypes = [a.dtype for a in arrs]
-    elif not np.iterable(dtypes):
-        dtypes = [dtypes]
-    if len(arrs) != len(dtypes):
-        if len(dtypes) == 1:
-            dtypes = dtypes * len(arrs)
-        else:
-            raise ValueError("dtypes must be None, a single dtype or a list")
-    old_dtypes = rec.dtype.descr
-    newdtype = np.dtype(old_dtypes + list(zip(names, dtypes)))
-    newrec = np.recarray(rec.shape, dtype=newdtype)
-    for field in rec.dtype.fields:
-        newrec[field] = rec[field]
-    for name, arr in zip(names, arrs):
-        newrec[name] = arr
-    return newrec
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 7878fdac1d6f..ce44d137b3b0 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -235,7 +235,7 @@
     frange,
     identity, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    rec_append_fields, rms_flat,
+    rms_flat,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From 9aaf9fc5df4b72004686a5dd6e91f5b60e8e556e Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:30:33 +0100
Subject: [PATCH 45/66] Remove mlab.exp_safe

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 24 ----------------------
 lib/matplotlib/pylab.py                    |  1 -
 3 files changed, 1 insertion(+), 25 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 7a1c879d00ae..3078da0a4ce3 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -4,6 +4,7 @@ Removal of deprecated :mod:`matplotlib.mlab` code
 Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
 in Matplotlib 2.2 has been removed. See below for a list:
 
+- `mlab.exp_safe` (use numpy.exp instead)
 - `mlab.logspace` (use numpy.logspace instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 4c497299eff2..a5039018666b 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,30 +1247,6 @@ def movavg(x, n):
 """
 
 
-# *****************************************************************************
-# Globals
-# ****************************************************************************
-# function definitions
-exp_safe_MIN = math.log(2.2250738585072014e-308)
-exp_safe_MAX = 1.7976931348623157e+308
-
-
-@cbook.deprecated("2.2", 'numpy.exp')
-def exp_safe(x):
-    """
-    Compute exponentials which safely underflow to zero.
-
-    Slow, but convenient to use. Note that numpy provides proper
-    floating point exception handling with access to the underlying
-    hardware.
-    """
-
-    if type(x) is np.ndarray:
-        return np.exp(np.clip(x, exp_safe_MIN, exp_safe_MAX))
-    else:
-        return math.exp(x)
-
-
 @cbook.deprecated("2.2", alternative='numpy.array(list(map(...)))')
 def amap(fn, *args):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index ce44d137b3b0..dfb1c92fd9d3 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,7 +231,6 @@
 from matplotlib.mlab import (
     amap, base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
-    exp_safe,
     frange,
     identity, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,

From 7d31ed2f7b3fe6c12a9b4a3d96f29d2151039b23 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:31:57 +0100
Subject: [PATCH 46/66] Remove mlab.amap

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 11 -----------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 12 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 3078da0a4ce3..49c30186dd64 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -5,6 +5,7 @@ Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
 in Matplotlib 2.2 has been removed. See below for a list:
 
 - `mlab.exp_safe` (use numpy.exp instead)
+- `mlab.amap`
 - `mlab.logspace` (use numpy.logspace instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index a5039018666b..856bed6b3c3b 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,17 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2", alternative='numpy.array(list(map(...)))')
-def amap(fn, *args):
-    """
-    amap(function, sequence[, sequence, ...]) -> array.
-
-    Works like :func:`map`, but it returns an array.  This is just a
-    convenient shorthand for ``numpy.array(map(...))``.
-    """
-    return np.array(list(map(fn, *args)))
-
-
 @cbook.deprecated("2.2")
 def rms_flat(a):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index dfb1c92fd9d3..07b1c14aa025 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -229,7 +229,7 @@
 ## We are still importing too many things from mlab; more cleanup is needed.
 
 from matplotlib.mlab import (
-    amap, base_repr, binary_repr, csv2rec,
+    base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     frange,
     identity, ispower2, isvector, l1norm,

From 2821f1bc46b4309bb58843f4b91c4dadccd2787e Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:32:42 +0100
Subject: [PATCH 47/66] Remove mlab.rms_flat

---
 doc/api/next_api_changes/2018-09-18-DS.rst | 1 +
 lib/matplotlib/mlab.py                     | 9 ---------
 lib/matplotlib/pylab.py                    | 1 -
 3 files changed, 1 insertion(+), 10 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 49c30186dd64..58506643d1be 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -7,6 +7,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.exp_safe` (use numpy.exp instead)
 - `mlab.amap`
 - `mlab.logspace` (use numpy.logspace instead)
+- `mlab.rms_flat`
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 856bed6b3c3b..60dd593892d9 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1246,15 +1246,6 @@ def movavg(x, n):
 
 """
 
-
-@cbook.deprecated("2.2")
-def rms_flat(a):
-    """
-    Return the root mean square of all the elements of *a*, flattened out.
-    """
-    return np.sqrt(np.mean(np.abs(a) ** 2))
-
-
 @cbook.deprecated("2.2", alternative='numpy.linalg.norm(a, ord=1)')
 def l1norm(a):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 07b1c14aa025..1de81563ce4d 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -234,7 +234,6 @@
     frange,
     identity, ispower2, isvector, l1norm,
     l2norm, log2, movavg, norm_flat,
-    rms_flat,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From 8f9b0c63cba51b06730ce0a990163e77fe3cc3f4 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:34:05 +0100
Subject: [PATCH 48/66] Remove mlab.l1norm

---
 doc/api/next_api_changes/2018-09-18-DS.rst | 1 +
 lib/matplotlib/mlab.py                     | 9 ---------
 lib/matplotlib/pylab.py                    | 2 +-
 3 files changed, 2 insertions(+), 10 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 58506643d1be..426457d12ad7 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -8,6 +8,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.amap`
 - `mlab.logspace` (use numpy.logspace instead)
 - `mlab.rms_flat`
+- `mlab.l1norm` (use ``numpy.linalg.norm(a, ord=1)`` instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 60dd593892d9..7d62f690614b 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1246,15 +1246,6 @@ def movavg(x, n):
 
 """
 
-@cbook.deprecated("2.2", alternative='numpy.linalg.norm(a, ord=1)')
-def l1norm(a):
-    """
-    Return the *l1* norm of *a*, flattened out.
-
-    Implemented as a separate function (not a call to :func:`norm` for speed).
-    """
-    return np.sum(np.abs(a))
-
 
 @cbook.deprecated("2.2", alternative='numpy.linalg.norm(a, ord=2)')
 def l2norm(a):
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 1de81563ce4d..46e6da8f0d9d 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -232,7 +232,7 @@
     base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     frange,
-    identity, ispower2, isvector, l1norm,
+    identity, ispower2, isvector,
     l2norm, log2, movavg, norm_flat,
     window_hanning, window_none)
 

From c26f1d6c999a5e2be046359314f7120e589d03c9 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:35:14 +0100
Subject: [PATCH 49/66] Remove mlab.l2norm

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 10 ----------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 11 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 426457d12ad7..3b6ff8f41e25 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -9,6 +9,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.logspace` (use numpy.logspace instead)
 - `mlab.rms_flat`
 - `mlab.l1norm` (use ``numpy.linalg.norm(a, ord=1)`` instead)
+- `mlab.l2norm` (use ``numpy.linalg.norm(a, ord=2)`` instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 7d62f690614b..8d033a532a8c 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,16 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2", alternative='numpy.linalg.norm(a, ord=2)')
-def l2norm(a):
-    """
-    Return the *l2* norm of *a*, flattened out.
-
-    Implemented as a separate function (not a call to :func:`norm` for speed).
-    """
-    return np.sqrt(np.sum(np.abs(a) ** 2))
-
-
 @cbook.deprecated("2.2", alternative='numpy.linalg.norm(a.flat, ord=p)')
 def norm_flat(a, p=2):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 46e6da8f0d9d..32f54bc4b5ec 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     frange,
     identity, ispower2, isvector,
-    l2norm, log2, movavg, norm_flat,
+    log2, movavg, norm_flat,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From 2d15f216015af8b751c89e7bc1327631966732aa Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:36:40 +0100
Subject: [PATCH 50/66] Remove mlab.norm_flat

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 18 ------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 19 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 3b6ff8f41e25..e0efc1214996 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -10,6 +10,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.rms_flat`
 - `mlab.l1norm` (use ``numpy.linalg.norm(a, ord=1)`` instead)
 - `mlab.l2norm` (use ``numpy.linalg.norm(a, ord=2)`` instead)
+- `mlab.norm_flat` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 8d033a532a8c..100715cf60a3 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,24 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2", alternative='numpy.linalg.norm(a.flat, ord=p)')
-def norm_flat(a, p=2):
-    """
-    norm(a,p=2) -> l-p norm of a.flat
-
-    Return the l-p norm of *a*, considered as a flat array.  This is NOT a true
-    matrix norm, since arrays of arbitrary rank are always flattened.
-
-    *p* can be a number or the string 'Infinity' to get the L-infinity norm.
-    """
-    # This function was being masked by a more general norm later in
-    # the file.  We may want to simply delete it.
-    if p == 'Infinity':
-        return np.max(np.abs(a))
-    else:
-        return np.sum(np.abs(a) ** p) ** (1 / p)
-
-
 @cbook.deprecated("2.2", 'numpy.arange')
 def frange(xini, xfin=None, delta=None, **kw):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 32f54bc4b5ec..97744fa0486d 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -233,7 +233,7 @@
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     frange,
     identity, ispower2, isvector,
-    log2, movavg, norm_flat,
+    log2, movavg,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From 00cace4744d822ba5d80b28ff11e39e24240d9b6 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:37:54 +0100
Subject: [PATCH 51/66] Remove mlab.frange

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 68 ----------------------
 lib/matplotlib/pylab.py                    |  1 -
 3 files changed, 1 insertion(+), 69 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index e0efc1214996..c9a2f2a8f1a5 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -11,6 +11,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.l1norm` (use ``numpy.linalg.norm(a, ord=1)`` instead)
 - `mlab.l2norm` (use ``numpy.linalg.norm(a, ord=2)`` instead)
 - `mlab.norm_flat` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
+- `mlab.frange` (use numpy.arange instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 100715cf60a3..9cb79796aa90 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,74 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2", 'numpy.arange')
-def frange(xini, xfin=None, delta=None, **kw):
-    """
-    frange([start,] stop[, step, keywords]) -> array of floats
-
-    Return a numpy ndarray containing a progression of floats. Similar to
-    :func:`numpy.arange`, but defaults to a closed interval.
-
-    ``frange(x0, x1)`` returns ``[x0, x0+1, x0+2, ..., x1]``; *start*
-    defaults to 0, and the endpoint *is included*. This behavior is
-    different from that of :func:`range` and
-    :func:`numpy.arange`. This is deliberate, since :func:`frange`
-    will probably be more useful for generating lists of points for
-    function evaluation, and endpoints are often desired in this
-    use. The usual behavior of :func:`range` can be obtained by
-    setting the keyword *closed* = 0, in this case, :func:`frange`
-    basically becomes :func:numpy.arange`.
-
-    When *step* is given, it specifies the increment (or
-    decrement). All arguments can be floating point numbers.
-
-    ``frange(x0,x1,d)`` returns ``[x0,x0+d,x0+2d,...,xfin]`` where
-    *xfin* <= *x1*.
-
-    :func:`frange` can also be called with the keyword *npts*. This
-    sets the number of points the list should contain (and overrides
-    the value *step* might have been given). :func:`numpy.arange`
-    doesn't offer this option.
-
-    Examples::
-
-      >>> frange(3)
-      array([ 0.,  1.,  2.,  3.])
-      >>> frange(3,closed=0)
-      array([ 0.,  1.,  2.])
-      >>> frange(1,6,2)
-      array([1, 3, 5])   or 1,3,5,7, depending on floating point vagueries
-      >>> frange(1,6.5,npts=5)
-      array([ 1.   ,  2.375,  3.75 ,  5.125,  6.5  ])
-    """
-
-    # defaults
-    kw.setdefault('closed', 1)
-    endpoint = kw['closed'] != 0
-
-    # funny logic to allow the *first* argument to be optional (like range())
-    # This was modified with a simpler version from a similar frange() found
-    # at http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/66472
-    if xfin is None:
-        xfin = xini + 0.0
-        xini = 0.0
-
-    if delta is None:
-        delta = 1.0
-
-    # compute # of points, spacing and return final list
-    try:
-        npts = kw['npts']
-        delta = (xfin-xini) / (npts-endpoint)
-    except KeyError:
-        npts = int(np.round((xfin-xini)/delta)) + endpoint
-        # round finds the nearest, so the endpoint can be up to
-        # delta/2 larger than xfin.
-
-    return np.arange(npts)*delta+xini
-# end frange()
-
-
 @cbook.deprecated("2.2", 'numpy.identity')
 def identity(n, rank=2, dtype='l', typecode=None):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 97744fa0486d..4e2a25ba502c 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,7 +231,6 @@
 from matplotlib.mlab import (
     base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
-    frange,
     identity, ispower2, isvector,
     log2, movavg,
     window_hanning, window_none)

From 9b81fd28b67fce013504c544d9dee2da67f47a2e Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:39:36 +0100
Subject: [PATCH 52/66] Remove mlab.identity

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 27 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 28 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index c9a2f2a8f1a5..a93ba1d741a2 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -12,6 +12,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.l2norm` (use ``numpy.linalg.norm(a, ord=2)`` instead)
 - `mlab.norm_flat` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
 - `mlab.frange` (use numpy.arange instead)
+- `mlab.identity` (use numpy.identity instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 9cb79796aa90..06d221a8fa44 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,33 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2", 'numpy.identity')
-def identity(n, rank=2, dtype='l', typecode=None):
-    """
-    Returns the identity matrix of shape (*n*, *n*, ..., *n*) (rank *r*).
-
-    For ranks higher than 2, this object is simply a multi-index Kronecker
-    delta::
-
-                            /  1  if i0=i1=...=iR,
-        id[i0,i1,...,iR] = -|
-                            \\  0  otherwise.
-
-    Optionally a *dtype* (or typecode) may be given (it defaults to 'l').
-
-    Since rank defaults to 2, this function behaves in the default case (when
-    only *n* is given) like ``numpy.identity(n)`` -- but surprisingly, it is
-    much faster.
-    """
-    if typecode is not None:
-        dtype = typecode
-    iden = np.zeros((n,)*rank, dtype)
-    for i in range(n):
-        idx = (i,)*rank
-        iden[idx] = 1
-    return iden
-
-
 @cbook.deprecated("2.2")
 def base_repr(number, base=2, padding=0):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 4e2a25ba502c..5ddbb7c2168e 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,7 +231,7 @@
 from matplotlib.mlab import (
     base_repr, binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
-    identity, ispower2, isvector,
+    ispower2, isvector,
     log2, movavg,
     window_hanning, window_none)
 

From 22fe034467bd98cecf13b302aac185a89f0ccfac Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:40:32 +0100
Subject: [PATCH 53/66] Remove mlab.base_repr

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 16 ----------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 17 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index a93ba1d741a2..ec8005312b43 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -13,6 +13,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.norm_flat` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
 - `mlab.frange` (use numpy.arange instead)
 - `mlab.identity` (use numpy.identity instead)
+- `mlab.base_repr`
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 06d221a8fa44..98e876191942 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,22 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2")
-def base_repr(number, base=2, padding=0):
-    """
-    Return the representation of a *number* in any given *base*.
-    """
-    chars = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ'
-    if number < base:
-        return (padding - 1) * chars[0] + chars[int(number)]
-    max_exponent = int(math.log(number)/math.log(base))
-    max_power = int(base) ** max_exponent
-    lead_digit = int(number/max_power)
-    return (chars[lead_digit] +
-            base_repr(number - max_power * lead_digit, base,
-                      max(padding - 1, max_exponent)))
-
-
 @cbook.deprecated("2.2")
 def binary_repr(number, max_length=1025):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 5ddbb7c2168e..164acb34160f 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -229,7 +229,7 @@
 ## We are still importing too many things from mlab; more cleanup is needed.
 
 from matplotlib.mlab import (
-    base_repr, binary_repr, csv2rec,
+    binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     ispower2, isvector,
     log2, movavg,

From f336729b1d378b70dcd0c4e82937357411ff2287 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:42:25 +0100
Subject: [PATCH 54/66] Remove mlab.log2

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 19 -------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 20 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index ec8005312b43..4414fdf64806 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -14,6 +14,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.frange` (use numpy.arange instead)
 - `mlab.identity` (use numpy.identity instead)
 - `mlab.base_repr`
+- `mlab.log2` (use numpy.log2 instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 98e876191942..2a735f3b7d85 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1270,25 +1270,6 @@ def binary_repr(number, max_length=1025):
     return ''.join(map(repr, digits)).replace('L', '')
 
 
-@cbook.deprecated("2.2", 'numpy.log2')
-def log2(x, ln2=math.log(2.0)):
-    """
-    Return the log(*x*) in base 2.
-
-    This is a _slow_ function but which is guaranteed to return the correct
-    integer value if the input is an integer exact power of 2.
-    """
-    try:
-        bin_n = binary_repr(x)[1:]
-    except (AssertionError, TypeError):
-        return math.log(x)/ln2
-    else:
-        if '1' in bin_n:
-            return math.log(x)/ln2
-        else:
-            return len(bin_n)
-
-
 @cbook.deprecated("2.2")
 def ispower2(n):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 164acb34160f..7abded189376 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -232,7 +232,7 @@
     binary_repr, csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     ispower2, isvector,
-    log2, movavg,
+    movavg,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From 76864f0f3f9172d2ab581697c61f08a238a3e36a Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:44:12 +0100
Subject: [PATCH 55/66] Remove mlab.binary_repr

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 23 ----------------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 24 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 4414fdf64806..328dda292087 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -14,6 +14,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.frange` (use numpy.arange instead)
 - `mlab.identity` (use numpy.identity instead)
 - `mlab.base_repr`
+- `mlab.binary_repr`
 - `mlab.log2` (use numpy.log2 instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 2a735f3b7d85..265753836fe9 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,29 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2")
-def binary_repr(number, max_length=1025):
-    """
-    Return the binary representation of the input *number* as a
-    string.
-
-    This is more efficient than using :func:`base_repr` with base 2.
-
-    Increase the value of max_length for very large numbers. Note that
-    on 32-bit machines, 2**1023 is the largest integer power of 2
-    which can be converted to a Python float.
-    """
-
-#   assert number < 2L << max_length
-    shifts = map(operator.rshift, max_length * [number],
-                 range(max_length - 1, -1, -1))
-    digits = list(map(operator.mod, shifts, max_length * [2]))
-    if not digits.count(1):
-        return 0
-    digits = digits[digits.index(1):]
-    return ''.join(map(repr, digits)).replace('L', '')
-
-
 @cbook.deprecated("2.2")
 def ispower2(n):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 7abded189376..6cfdbe8f236d 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -229,7 +229,7 @@
 ## We are still importing too many things from mlab; more cleanup is needed.
 
 from matplotlib.mlab import (
-    binary_repr, csv2rec,
+    csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     ispower2, isvector,
     movavg,

From a934ad8d7e24c24fb6e8bc2c4148e0086eb45e0e Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:45:26 +0100
Subject: [PATCH 56/66] Remove mlab.ispower2

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 15 ---------------
 lib/matplotlib/pylab.py                    |  2 +-
 3 files changed, 2 insertions(+), 16 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 328dda292087..43b233bf43d0 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -15,6 +15,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.identity` (use numpy.identity instead)
 - `mlab.base_repr`
 - `mlab.binary_repr`
+- `mlab.ispower2`
 - `mlab.log2` (use numpy.log2 instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 265753836fe9..f3b3664ce980 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1247,21 +1247,6 @@ def movavg(x, n):
 """
 
 
-@cbook.deprecated("2.2")
-def ispower2(n):
-    """
-    Returns the log base 2 of *n* if *n* is a power of 2, zero otherwise.
-
-    Note the potential ambiguity if *n* == 1: 2**0 == 1, interpret accordingly.
-    """
-
-    bin_n = binary_repr(n)[1:]
-    if '1' in bin_n:
-        return 0
-    else:
-        return len(bin_n)
-
-
 @cbook.deprecated("2.2")
 def isvector(X):
     """
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 6cfdbe8f236d..715c9a95be3c 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,7 +231,7 @@
 from matplotlib.mlab import (
     csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
-    ispower2, isvector,
+    isvector,
     movavg,
     window_hanning, window_none)
 

From dedc26964c90abcb4efae64203f055f5b15771fe Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:46:21 +0100
Subject: [PATCH 57/66] Remove mlab.isvector

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 59 ----------------------
 lib/matplotlib/pylab.py                    |  1 -
 3 files changed, 1 insertion(+), 60 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 43b233bf43d0..7c7e59debd26 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -17,6 +17,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.binary_repr`
 - `mlab.ispower2`
 - `mlab.log2` (use numpy.log2 instead)
+- `mlab.isvector`
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index f3b3664ce980..1aae0f101015 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1204,65 +1204,6 @@ def movavg(x, n):
     return np.convolve(x, w, mode='valid')
 
 
-# the following code was written and submitted by Fernando Perez
-# from the ipython numutils package under a BSD license
-# begin fperez functions
-
-"""
-A set of convenient utilities for numerical work.
-
-Most of this module requires numpy or is meant to be used with it.
-
-Copyright (c) 2001-2004, Fernando Perez. <Fernando.Perez@colorado.edu>
-All rights reserved.
-
-This license was generated from the BSD license template as found in:
-http://www.opensource.org/licenses/bsd-license.php
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
-    * Redistributions of source code must retain the above copyright notice,
-      this list of conditions and the following disclaimer.
-
-    * Redistributions in binary form must reproduce the above copyright
-      notice, this list of conditions and the following disclaimer in the
-      documentation and/or other materials provided with the distribution.
-
-    * Neither the name of the IPython project nor the names of its
-      contributors may be used to endorse or promote products derived from
-      this software without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
-AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
-IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
-DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
-SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
-CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
-OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
-OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
-"""
-
-
-@cbook.deprecated("2.2")
-def isvector(X):
-    """
-    Like the MATLAB function with the same name, returns *True*
-    if the supplied numpy array or matrix *X* looks like a vector,
-    meaning it has a one non-singleton axis (i.e., it can have
-    multiple axes, but all must have length 1, except for one of
-    them).
-
-    If you just want to see if the array has 1 axis, use X.ndim == 1.
-    """
-    return np.prod(X.shape) == np.max(X.shape)
-
-# end fperez numutils code
-
-
 # helpers for loading, saving, manipulating and viewing numpy record arrays
 @cbook.deprecated("2.2", 'numpy.isnan')
 def safe_isnan(x):
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 715c9a95be3c..5fa1e18be9a7 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,7 +231,6 @@
 from matplotlib.mlab import (
     csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
-    isvector,
     movavg,
     window_hanning, window_none)
 

From 21579687fa0737deca77d53f7f502a3d7af35068 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:47:39 +0100
Subject: [PATCH 58/66] Remove mlab.movavg

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     | 10 ----------
 lib/matplotlib/pylab.py                    |  1 -
 3 files changed, 1 insertion(+), 11 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 7c7e59debd26..7394d9e445ec 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -18,6 +18,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.ispower2`
 - `mlab.log2` (use numpy.log2 instead)
 - `mlab.isvector`
+- `mlab.movavg`
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 1aae0f101015..18080b9f20e9 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,16 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated('2.2')
-def movavg(x, n):
-    """
-    Compute the len(*n*) moving average of *x*.
-    """
-    w = np.empty((n,), dtype=float)
-    w[:] = 1.0/n
-    return np.convolve(x, w, mode='valid')
-
-
 # helpers for loading, saving, manipulating and viewing numpy record arrays
 @cbook.deprecated("2.2", 'numpy.isnan')
 def safe_isnan(x):
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 5fa1e18be9a7..155fb31b960d 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -231,7 +231,6 @@
 from matplotlib.mlab import (
     csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
-    movavg,
     window_hanning, window_none)
 
 from matplotlib import cbook, mlab, pyplot as plt

From 8e7eea062e8a06e4adb48c2de4cf6ea139f3b258 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 22 Sep 2018 18:49:06 +0100
Subject: [PATCH 59/66] Remove mlab.safe_isinf, mlab.safe_isnan

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  2 ++
 lib/matplotlib/mlab.py                     | 31 ----------------------
 2 files changed, 2 insertions(+), 31 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 7394d9e445ec..b6d29f525ba5 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -19,6 +19,8 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - `mlab.log2` (use numpy.log2 instead)
 - `mlab.isvector`
 - `mlab.movavg`
+- `mlab.safe_isinf` (use numpy.isinf instead)
+- `mlab.safe_isnan` (use numpy.isnan instead)
 - `mlab.cohere_pairs` (use scipy.signal.coherence instead)
 - `mlab.entropy` (use scipy.stats.entropy instead)
 - `mlab.normpdf` (use scipy.stats.norm.pdf instead)
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 18080b9f20e9..21e0530f8f94 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1194,37 +1194,6 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-# helpers for loading, saving, manipulating and viewing numpy record arrays
-@cbook.deprecated("2.2", 'numpy.isnan')
-def safe_isnan(x):
-    ':func:`numpy.isnan` for arbitrary types'
-    if isinstance(x, str):
-        return False
-    try:
-        b = np.isnan(x)
-    except NotImplementedError:
-        return False
-    except TypeError:
-        return False
-    else:
-        return b
-
-
-@cbook.deprecated("2.2", 'numpy.isinf')
-def safe_isinf(x):
-    ':func:`numpy.isinf` for arbitrary types'
-    if isinstance(x, str):
-        return False
-    try:
-        b = np.isinf(x)
-    except NotImplementedError:
-        return False
-    except TypeError:
-        return False
-    else:
-        return b
-
-
 @cbook.deprecated("2.2")
 def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
             converterd=None, names=None, missing='', missingd=None,

From 872e93e603c9d32930624f2d7b2dd98bd1360e09 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Mon, 24 Sep 2018 12:54:34 +0100
Subject: [PATCH 60/66] Clean up code listing

---
 doc/api/next_api_changes/2018-09-18-DS.rst | 136 ++++++++++-----------
 1 file changed, 68 insertions(+), 68 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index b6d29f525ba5..323fc5b20db9 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -4,71 +4,71 @@ Removal of deprecated :mod:`matplotlib.mlab` code
 Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
 in Matplotlib 2.2 has been removed. See below for a list:
 
-- `mlab.exp_safe` (use numpy.exp instead)
-- `mlab.amap`
-- `mlab.logspace` (use numpy.logspace instead)
-- `mlab.rms_flat`
-- `mlab.l1norm` (use ``numpy.linalg.norm(a, ord=1)`` instead)
-- `mlab.l2norm` (use ``numpy.linalg.norm(a, ord=2)`` instead)
-- `mlab.norm_flat` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
-- `mlab.frange` (use numpy.arange instead)
-- `mlab.identity` (use numpy.identity instead)
-- `mlab.base_repr`
-- `mlab.binary_repr`
-- `mlab.ispower2`
-- `mlab.log2` (use numpy.log2 instead)
-- `mlab.isvector`
-- `mlab.movavg`
-- `mlab.safe_isinf` (use numpy.isinf instead)
-- `mlab.safe_isnan` (use numpy.isnan instead)
-- `mlab.cohere_pairs` (use scipy.signal.coherence instead)
-- `mlab.entropy` (use scipy.stats.entropy instead)
-- `mlab.normpdf` (use scipy.stats.norm.pdf instead)
-- `mlab.find` (use ``np.nonzero(np.ravel(condition))`` instead)
-- `mlab.longest_contiguous_ones`
-- `mlab.longest_ones`
-- `mlab.PCA`
-- `mlab.prctile` (use numpy.percentile instead)
-- `mlab.prctile_rank`
-- `mlab.center_matrix`
-- `mlab.rk4` (use scipy.integrate.ode instead)
-- `mlab.bivariate_normal`
-- `mlab.get_xyz_where`
-- `mlab.get_sparse_matrix`
-- `mlab.dist` (use numpy.hypot instead)
-- `mlab.dist_point_to_segment`
-- `mlab.griddata` (use scipy.interpolate.griddata)
-- `mlab.less_simple_linear_interpolation` (use numpy.interp)
-- `mlab.slopes`
-- `mlab.stineman_interp`
-- `mlab.segments_intersect`
-- `mlab.fftsurr`
-- `mlab.offset_line`
-- `mlab.quad2cubic`
-- `mlab.vector_lengths`
-- `mlab.distances_along_curve`
-- `mlab.path_length`
-- `mlab.cross_from_above`
-- `mlab.cross_from_below`
-- `mlab.contiguous_regions` (use `.cbook.contiguous_regions` instead)
-- `mlab.is_closed_polygon`
-- `mlab.poly_between`
-- `mlab.poly_below`
-- `mlab.inside_poly`
-- `mlab.rec2csv` (use numpy.recarray.tofile instead)
-- `mlab.rec2text` (use numpy.recarray.tofile instead)
-- `mlab.rec_summarize`
-- `mlab.rec_join`
-- `mlab.recs_join`
-- `mlab.rec_groupby`
-- `mlab.rec_keep_fields`
-- `mlab.rec_drop_fields`
-- `mlab.rec_append_fields`
-- `mlab.csvformat_factory`
-- `mlab.get_formatd`
-- `mlab.FormatDatetime` (use datetime.strftime instead)
-- `mlab.FormatDate` (use date.strftime instead)
-- `mlab.FormatMillions`, `mlab.FormatThousands`, `mlab.FormatPercent`,
-  `mlab.FormatBool`, `mlab.FormatInt`, `mlab.FormatFloat`,
-  `mlab.FormatFormatStr`, `mlab.FormatString`, `mlab.FormatObj`
-- `mlab.donothing_callback`
+- ``mlab.exp_safe`` (use `numpy.exp` instead)
+- ``mlab.amap``
+- ``mlab.logspace`` (use `numpy.logspace` instead)
+- ``mlab.rms_flat``
+- ``mlab.l1norm`` (use ``numpy.linalg.norm(a, ord=1)`` instead)
+- ``mlab.l2norm`` (use ``numpy.linalg.norm(a, ord=2)`` instead)
+- ``mlab.norm_flat`` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
+- ``mlab.frange`` (use `numpy.arange` instead)
+- ``mlab.identity`` (use `numpy.identity` instead)
+- ``mlab.base_repr``
+- ``mlab.binary_repr``
+- ``mlab.ispower2``
+- ``mlab.log2`` (use `numpy.log2` instead)
+- ``mlab.isvector``
+- ``mlab.movavg``
+- ``mlab.safe_isinf`` (use `numpy.isinf` instead)
+- ``mlab.safe_isnan`` (use `numpy.isnan` instead)
+- ``mlab.cohere_pairs`` (use `scipy.signal.coherence` instead)
+- ``mlab.entropy`` (use `scipy.stats.entropy` instead)
+- ``mlab.normpdf`` (use `scipy.stats.norm.pdf` instead)
+- ``mlab.find`` (use ``np.nonzero(np.ravel(condition))`` instead)
+- ``mlab.longest_contiguous_ones``
+- ``mlab.longest_ones``
+- ``mlab.PCA``
+- ``mlab.prctile`` (use `numpy.percentile` instead)
+- ``mlab.prctile_rank``
+- ``mlab.center_matrix``
+- ``mlab.rk4`` (use `scipy.integrate.ode` instead)
+- ``mlab.bivariate_normal``
+- ``mlab.get_xyz_where``
+- ``mlab.get_sparse_matrix``
+- ``mlab.dist`` (use `numpy.hypot` instead)
+- ``mlab.dist_point_to_segment``
+- ``mlab.griddata`` (use `scipy.interpolate.griddata`)
+- ``mlab.less_simple_linear_interpolation`` (use `numpy.interp`)
+- ``mlab.slopes``
+- ``mlab.stineman_interp``
+- ``mlab.segments_intersect``
+- ``mlab.fftsurr``
+- ``mlab.offset_line``
+- ``mlab.quad2cubic``
+- ``mlab.vector_lengths``
+- ``mlab.distances_along_curve``
+- ``mlab.path_length``
+- ``mlab.cross_from_above``
+- ``mlab.cross_from_below``
+- ``mlab.contiguous_regions`` (use `.cbook.contiguous_regions` instead)
+- ``mlab.is_closed_polygon``
+- ``mlab.poly_between``
+- ``mlab.poly_below``
+- ``mlab.inside_poly``
+- ``mlab.rec2csv`` (use `numpy.recarray.tofile` instead)
+- ``mlab.rec2text`` (use `numpy.recarray.tofile` instead)
+- ``mlab.rec_summarize``
+- ``mlab.rec_join``
+- ``mlab.recs_join``
+- ``mlab.rec_groupby``
+- ``mlab.rec_keep_fields``
+- ``mlab.rec_drop_fields``
+- ``mlab.rec_append_fields``
+- ``mlab.csvformat_factory``
+- ``mlab.get_formatd``
+- ``mlab.FormatDatetime`` (use `datetime.datetime.strftime` instead)
+- ``mlab.FormatDate`` (use `datetime.date.strftime` instead)
+- ``mlab.FormatMillions``, ``mlab.FormatThousands``, ``mlab.FormatPercent``,
+  ``mlab.FormatBool``, ``mlab.FormatInt``, ``mlab.FormatFloat``,
+  ``mlab.FormatFormatStr``, ``mlab.FormatString``, ``mlab.FormatObj``
+- ``mlab.donothing_callback``

From 5ea3cf33da220ff090a85687b103910612bb5251 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Mon, 24 Sep 2018 12:54:49 +0100
Subject: [PATCH 61/66] Clean up the top of mlab

---
 lib/matplotlib/mlab.py | 17 +++++------------
 1 file changed, 5 insertions(+), 12 deletions(-)

diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 21e0530f8f94..b0c2200fc8c2 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1,9 +1,11 @@
 """
 Numerical python functions written for compatibility with MATLAB
-commands with the same names.
+commands with the same names. Most numerical python functions can be found in
+the `numpy` and `scipy` libraries. What remains here is code for performing
+spectral computations.
 
-MATLAB compatible functions
----------------------------
+Spectral functions
+-------------------
 
 :func:`cohere`
     Coherence (normalized cross spectral density)
@@ -20,11 +22,6 @@
 :func:`specgram`
     Spectrogram (spectrum over segments of time)
 
-Miscellaneous functions
------------------------
-
-Functions that don't exist in MATLAB, but are useful anyway:
-
 :func:`complex_spectrum`
     Return the complex-valued frequency spectrum of a signal
 
@@ -56,17 +53,13 @@
     Apply a window along a given axis
 """
 
-import copy
 import csv
-import operator
-import os
 import warnings
 
 import numpy as np
 
 import matplotlib.cbook as cbook
 from matplotlib import docstring
-from matplotlib.path import Path
 import math
 
 

From 2ca407fcfe735ea0ecc7718493c5b47f11848ffa Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Mon, 24 Sep 2018 12:59:02 +0100
Subject: [PATCH 62/66] Make mlab.csv2rec private

---
 doc/api/next_api_changes/2018-09-18-DS.rst |  1 +
 lib/matplotlib/mlab.py                     |  7 +++----
 lib/matplotlib/pylab.py                    |  1 -
 lib/matplotlib/pyplot.py                   | 10 +++++-----
 lib/matplotlib/tests/test_mlab.py          |  7 ++-----
 5 files changed, 11 insertions(+), 15 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS.rst
index 323fc5b20db9..644d5dd211ef 100644
--- a/doc/api/next_api_changes/2018-09-18-DS.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS.rst
@@ -55,6 +55,7 @@ in Matplotlib 2.2 has been removed. See below for a list:
 - ``mlab.poly_between``
 - ``mlab.poly_below``
 - ``mlab.inside_poly``
+- ``mlab.csv2rec``
 - ``mlab.rec2csv`` (use `numpy.recarray.tofile` instead)
 - ``mlab.rec2text`` (use `numpy.recarray.tofile` instead)
 - ``mlab.rec_summarize``
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index b0c2200fc8c2..4009763fbcff 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -1187,10 +1187,9 @@ def cohere(x, y, NFFT=256, Fs=2, detrend=detrend_none, window=window_hanning,
     return Cxy, f
 
 
-@cbook.deprecated("2.2")
-def csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
-            converterd=None, names=None, missing='', missingd=None,
-            use_mrecords=False, dayfirst=False, yearfirst=False):
+def _csv2rec(fname, comments='#', skiprows=0, checkrows=0, delimiter=',',
+             converterd=None, names=None, missing='', missingd=None,
+             use_mrecords=False, dayfirst=False, yearfirst=False):
     """
     Load data from comma/space/tab delimited file in *fname* into a
     numpy record array and return the record array.
diff --git a/lib/matplotlib/pylab.py b/lib/matplotlib/pylab.py
index 155fb31b960d..a8f98cd80c5a 100644
--- a/lib/matplotlib/pylab.py
+++ b/lib/matplotlib/pylab.py
@@ -229,7 +229,6 @@
 ## We are still importing too many things from mlab; more cleanup is needed.
 
 from matplotlib.mlab import (
-    csv2rec,
     demean, detrend, detrend_linear, detrend_mean, detrend_none,
     window_hanning, window_none)
 
diff --git a/lib/matplotlib/pyplot.py b/lib/matplotlib/pyplot.py
index ec15c5e8d28e..aca497b28dd9 100644
--- a/lib/matplotlib/pyplot.py
+++ b/lib/matplotlib/pyplot.py
@@ -46,7 +46,7 @@
 from matplotlib.artist import setp as _setp
 from matplotlib.axes import Axes, Subplot
 from matplotlib.projections import PolarAxes
-from matplotlib import mlab  # for csv2rec, detrend_none, window_hanning
+from matplotlib import mlab  # for _csv2rec, detrend_none, window_hanning
 from matplotlib.scale import get_scale_docs, get_scale_names
 
 from matplotlib import cm
@@ -2231,8 +2231,7 @@ def plotfile(fname, cols=(0,), plotfuncs=None,
     columns.
 
     *comments*, *skiprows*, *checkrows*, *delimiter*, and *names*
-    are all passed on to :func:`matplotlib.mlab.csv2rec` to
-    load the data into a record array.
+    are all used when loading the data into a record array.
 
     If *newfig* is *True*, the plot always will be made in a new figure;
     if *False*, it will be made in the current figure if one exists,
@@ -2267,8 +2266,9 @@ def plotfile(fname, cols=(0,), plotfuncs=None,
     from matplotlib.cbook import MatplotlibDeprecationWarning
     with warnings.catch_warnings():
         warnings.simplefilter('ignore', MatplotlibDeprecationWarning)
-        r = mlab.csv2rec(fname, comments=comments, skiprows=skiprows,
-                         checkrows=checkrows, delimiter=delimiter, names=names)
+        r = mlab._csv2rec(fname, comments=comments, skiprows=skiprows,
+                          checkrows=checkrows, delimiter=delimiter,
+                          names=names)
 
     def getname_val(identifier):
         'return the name and column data for identifier'
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
index 7fe4dd7d8fe6..ddbba61d9637 100644
--- a/lib/matplotlib/tests/test_mlab.py
+++ b/lib/matplotlib/tests/test_mlab.py
@@ -151,11 +151,9 @@ def tempcsv():
 
 
 def test_csv2rec_names_with_comments(tempcsv):
-
     tempcsv.write('# comment\n1,2,3\n4,5,6\n')
     tempcsv.seek(0)
-    with pytest.warns(MatplotlibDeprecationWarning):
-        array = mlab.csv2rec(tempcsv, names='a,b,c')
+    array = mlab._csv2rec(tempcsv, names='a,b,c')
     assert len(array) == 2
     assert len(array.dtype) == 3
 
@@ -188,8 +186,7 @@ def test_csv2rec_dates(tempcsv, input, kwargs):
                 datetime.datetime(2054, 6, 20, 14, 31, 45),
                 datetime.datetime(2000, 10, 31, 11, 50, 23)]
     tempcsv.seek(0)
-    with pytest.warns(MatplotlibDeprecationWarning):
-        array = mlab.csv2rec(tempcsv, names='a', **kwargs)
+    array = mlab._csv2rec(tempcsv, names='a', **kwargs)
     assert_array_equal(array['a'].tolist(), expected)
 
 

From ddf38feaa22ce8d2e4a828a1d6c530231f0d4045 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Sat, 29 Sep 2018 11:05:01 +0100
Subject: [PATCH 63/66] Add pylab api changes

---
 ...18-09-18-DS.rst => 2018-09-18-DS-mlab.rst} |  0
 .../next_api_changes/2018-09-18-DS-pylab.rst  | 52 +++++++++++++++++++
 2 files changed, 52 insertions(+)
 rename doc/api/next_api_changes/{2018-09-18-DS.rst => 2018-09-18-DS-mlab.rst} (100%)
 create mode 100644 doc/api/next_api_changes/2018-09-18-DS-pylab.rst

diff --git a/doc/api/next_api_changes/2018-09-18-DS.rst b/doc/api/next_api_changes/2018-09-18-DS-mlab.rst
similarity index 100%
rename from doc/api/next_api_changes/2018-09-18-DS.rst
rename to doc/api/next_api_changes/2018-09-18-DS-mlab.rst
diff --git a/doc/api/next_api_changes/2018-09-18-DS-pylab.rst b/doc/api/next_api_changes/2018-09-18-DS-pylab.rst
new file mode 100644
index 000000000000..f19caddb49f6
--- /dev/null
+++ b/doc/api/next_api_changes/2018-09-18-DS-pylab.rst
@@ -0,0 +1,52 @@
+Removal of deprecated :mod:`matplotlib.pylab` code
+--------------------------------------------------
+
+Lots of code inside the :mod:`matplotlib.mlab` module which was deprecated
+in Matplotlib 2.2 has been removed. This means the following functions are
+no longer available in the `matplotlib.pylab` module:
+
+  - ``amap``
+  - ``base_repr``
+  - ``binary_repr``
+  - ``bivariate_normal``
+  - ``center_matrix``
+  - ``csv2rec`` (use `numpy.recarray.tofile` instead)
+  - ``dist`` (use `numpy.hypot` instead)
+  - ``dist_point_to_segment``
+  - ``distances_along_curve``
+  - ``entropy`` (use `scipy.stats.entropy` instead)
+  - ``exp_safe``
+  - ``fftsurr``
+  - ``find`` (use ``np.nonzero(np.ravel(condition))`` instead)
+  - ``frange`` (use `numpy.arange` instead)
+  - ``get_sparse_matrix``
+  - ``get_xyz_where``
+  - ``griddata``
+  - ``identity`` (use `numpy.identity` instead)
+  - ``inside_poly``
+  - ``is_closed_polygon``
+  - ``ispower2``
+  - ``isvector``
+  - ``l1norm``
+  - ``l2norm``
+  - ``log2`` (use `numpy.log2` instead)
+  - ``longest_contiguous_ones``
+  - ``longest_ones``
+  - ``movavg``
+  - ``norm_flat`` (use ``numpy.linalg.norm(a.flat, ord=2)`` instead)
+  - ``normpdf`` (use `scipy.stats.norm.pdf` instead)
+  - ``path_length``
+  - ``poly_below``
+  - ``poly_between``
+  - ``prctile`` (use `numpy.percentile` instead)
+  - ``prctile_rank``
+  - ``rec2csv`` (use `numpy.recarray.tofile` instead)
+  - ``rec_append_fields``
+  - ``rec_drop_fields``
+  - ``rec_join``
+  - ``rk4`` (use `scipy.integrate.ode` instead)
+  - ``rms_flat``
+  - ``segments_intersect``
+  - ``slopes``
+  - ``stineman_interp``
+  - ``vector_lengths``

From 0466b93dba3eca1836436e894b43daba9c92d640 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Tue, 2 Oct 2018 10:47:42 +0100
Subject: [PATCH 64/66] Move methods to functions in poly_editor.py

---
 examples/event_handling/poly_editor.py | 56 +++++++++++++-------------
 1 file changed, 29 insertions(+), 27 deletions(-)

diff --git a/examples/event_handling/poly_editor.py b/examples/event_handling/poly_editor.py
index 652f3a226fde..1afa89bffd12 100644
--- a/examples/event_handling/poly_editor.py
+++ b/examples/event_handling/poly_editor.py
@@ -11,6 +11,34 @@
 from matplotlib.artist import Artist
 
 
+def dist(x, y):
+    """
+    Return the distance between two points.
+    """
+    d = x - y
+    return np.sqrt(np.dot(d, d))
+
+
+def dist_point_to_segment(p, s0, s1):
+    """
+    Get the distance of a point to a segment.
+      *p*, *s0*, *s1* are *xy* sequences
+    This algorithm from
+    http://geomalgorithms.com/a02-_lines.html
+    """
+    v = s1 - s0
+    w = p - s0
+    c1 = np.dot(w, v)
+    if c1 <= 0:
+        return dist(p, s0)
+    c2 = np.dot(v, v)
+    if c2 <= c1:
+        return dist(p, s1)
+    b = c1 / c2
+    pb = s0 + b * v
+    return dist(p, pb)
+
+
 class PolygonInteractor(object):
     """
     A polygon editor.
@@ -84,32 +112,6 @@ def get_ind_under_point(self, event):
 
         return ind
 
-    def dist(self, x, y):
-        """
-        Return the distance between two points.
-        """
-        d = x-y
-        return np.sqrt(np.dot(d, d))
-
-    def dist_point_to_segment(self, p, s0, s1):
-        """
-        Get the distance of a point to a segment.
-          *p*, *s0*, *s1* are *xy* sequences
-        This algorithm from
-        http://geomalgorithms.com/a02-_lines.html
-        """
-        v = s1 - s0
-        w = p - s0
-        c1 = np.dot(w, v)
-        if c1 <= 0:
-            return self.dist(p, s0)
-        c2 = np.dot(v, v)
-        if c2 <= c1:
-            return self.dist(p, s1)
-        b = c1 / c2
-        pb = s0 + b * v
-        return self.dist(p, pb)
-
     def button_press_callback(self, event):
         'whenever a mouse button is pressed'
         if not self.showverts:
@@ -149,7 +151,7 @@ def key_press_callback(self, event):
             for i in range(len(xys) - 1):
                 s0 = xys[i]
                 s1 = xys[i + 1]
-                d = self.dist_point_to_segment(p, s0, s1)
+                d = dist_point_to_segment(p, s0, s1)
                 if d <= self.epsilon:
                     self.poly.xy = np.insert(
                         self.poly.xy, i+1,

From 89cf598a2a95a3d9fbc7f5745a19f470dae7adbc Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 3 Oct 2018 13:24:19 +0100
Subject: [PATCH 65/66] Copy in kwarg definitions to pyplot.plotfile

---
 lib/matplotlib/pyplot.py | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/lib/matplotlib/pyplot.py b/lib/matplotlib/pyplot.py
index aca497b28dd9..f673a69bec45 100644
--- a/lib/matplotlib/pyplot.py
+++ b/lib/matplotlib/pyplot.py
@@ -2230,8 +2230,18 @@ def plotfile(fname, cols=(0,), plotfuncs=None,
     that changes the axis scaling will set the scaling for all
     columns.
 
-    *comments*, *skiprows*, *checkrows*, *delimiter*, and *names*
-    are all used when loading the data into a record array.
+    - *comments*: the character used to indicate the start of a comment
+      in the file, or *None* to switch off the removal of comments
+
+    - *skiprows*: is the number of rows from the top to skip
+
+    - *checkrows*: is the number of rows to check to validate the column
+      data type.  When set to zero all rows are validated.
+
+    - *delimiter*: is the character(s) separating row items
+
+    - *names*: if not None, is a list of header names.  In this case, no
+      header will be read from the file
 
     If *newfig* is *True*, the plot always will be made in a new figure;
     if *False*, it will be made in the current figure if one exists,

From ca54244eab7142df1e9cd3c74ef00a38082e6273 Mon Sep 17 00:00:00 2001
From: David Stansby <dstansby@gmail.com>
Date: Wed, 3 Oct 2018 13:25:41 +0100
Subject: [PATCH 66/66] Add missing alternatives

---
 doc/api/next_api_changes/2018-09-18-DS-pylab.rst | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/doc/api/next_api_changes/2018-09-18-DS-pylab.rst b/doc/api/next_api_changes/2018-09-18-DS-pylab.rst
index f19caddb49f6..4dae6b64af93 100644
--- a/doc/api/next_api_changes/2018-09-18-DS-pylab.rst
+++ b/doc/api/next_api_changes/2018-09-18-DS-pylab.rst
@@ -15,20 +15,20 @@ no longer available in the `matplotlib.pylab` module:
   - ``dist_point_to_segment``
   - ``distances_along_curve``
   - ``entropy`` (use `scipy.stats.entropy` instead)
-  - ``exp_safe``
+  - ``exp_safe`` (use `numpy.exp` instead)
   - ``fftsurr``
   - ``find`` (use ``np.nonzero(np.ravel(condition))`` instead)
   - ``frange`` (use `numpy.arange` instead)
   - ``get_sparse_matrix``
   - ``get_xyz_where``
-  - ``griddata``
+  - ``griddata`` (use `scipy.interpolate.griddata` instead)
   - ``identity`` (use `numpy.identity` instead)
   - ``inside_poly``
   - ``is_closed_polygon``
   - ``ispower2``
   - ``isvector``
-  - ``l1norm``
-  - ``l2norm``
+  - ``l1norm`` (use ``numpy.linalg.norm(a, ord=1)`` instead)
+  - ``l2norm`` (use ``numpy.linalg.norm(a, ord=2)`` instead)
   - ``log2`` (use `numpy.log2` instead)
   - ``longest_contiguous_ones``
   - ``longest_ones``

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