diff --git a/examples/specialty_plots/radar_chart.py b/examples/specialty_plots/radar_chart.py
index 47a0bc36cb10..4989b6daf11e 100644
--- a/examples/specialty_plots/radar_chart.py
+++ b/examples/specialty_plots/radar_chart.py
@@ -66,8 +66,8 @@ def _close_line(self, line):
x, y = line.get_data()
# FIXME: markers at x[0], y[0] get doubled-up
if x[0] != x[-1]:
- x = np.concatenate((x, [x[0]]))
- y = np.concatenate((y, [y[0]]))
+ x = np.append(x, x[0])
+ y = np.append(y, y[0])
line.set_data(x, y)
def set_varlabels(self, labels):
diff --git a/lib/matplotlib/bezier.py b/lib/matplotlib/bezier.py
index e1771abee20d..da10a72e70f0 100644
--- a/lib/matplotlib/bezier.py
+++ b/lib/matplotlib/bezier.py
@@ -268,8 +268,6 @@ def split_path_inout(path, inside, tolerance=0.01, reorder_inout=False):
ctl_points_old = ctl_points
- concat = np.concatenate
-
iold = 0
i = 1
@@ -277,7 +275,7 @@ def split_path_inout(path, inside, tolerance=0.01, reorder_inout=False):
iold = i
i += len(ctl_points) // 2
if inside(ctl_points[-2:]) != begin_inside:
- bezier_path = concat([ctl_points_old[-2:], ctl_points])
+ bezier_path = np.concatenate([ctl_points_old[-2:], ctl_points])
break
ctl_points_old = ctl_points
else:
@@ -302,15 +300,15 @@ def split_path_inout(path, inside, tolerance=0.01, reorder_inout=False):
verts_right = right[:]
if path.codes is None:
- path_in = Path(concat([path.vertices[:i], verts_left]))
- path_out = Path(concat([verts_right, path.vertices[i:]]))
+ path_in = Path(np.concatenate([path.vertices[:i], verts_left]))
+ path_out = Path(np.concatenate([verts_right, path.vertices[i:]]))
else:
- path_in = Path(concat([path.vertices[:iold], verts_left]),
- concat([path.codes[:iold], codes_left]))
+ path_in = Path(np.concatenate([path.vertices[:iold], verts_left]),
+ np.concatenate([path.codes[:iold], codes_left]))
- path_out = Path(concat([verts_right, path.vertices[i:]]),
- concat([codes_right, path.codes[i:]]))
+ path_out = Path(np.concatenate([verts_right, path.vertices[i:]]),
+ np.concatenate([codes_right, path.codes[i:]]))
if reorder_inout and not begin_inside:
path_in, path_out = path_out, path_in
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py
index 3023269226c0..01b360738ab3 100644
--- a/lib/matplotlib/mlab.py
+++ b/lib/matplotlib/mlab.py
@@ -572,9 +572,8 @@ def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
if sides == 'twosided':
# center the frequency range at zero
- freqs = np.concatenate((freqs[freqcenter:], freqs[:freqcenter]))
- result = np.concatenate((result[freqcenter:, :],
- result[:freqcenter, :]), 0)
+ freqs = np.roll(freqs, -freqcenter, axis=0)
+ result = np.roll(result, -freqcenter, axis=0)
elif not pad_to % 2:
# get the last value correctly, it is negative otherwise
freqs[-1] *= -1
diff --git a/lib/matplotlib/patches.py b/lib/matplotlib/patches.py
index 3b59c235430f..76eb4677a389 100644
--- a/lib/matplotlib/patches.py
+++ b/lib/matplotlib/patches.py
@@ -2342,8 +2342,7 @@ def transmute(self, x0, y0, width, height, mutation_size):
width, height,
mutation_size)
# Add a trailing vertex to allow us to close the polygon correctly
- saw_vertices = np.concatenate([np.array(saw_vertices),
- [saw_vertices[0]]], axis=0)
+ saw_vertices = np.concatenate([saw_vertices, [saw_vertices[0]]])
codes = ([Path.MOVETO] +
[Path.CURVE3, Path.CURVE3] * ((len(saw_vertices)-1)//2) +
[Path.CLOSEPOLY])
diff --git a/lib/matplotlib/tests/test_ticker.py b/lib/matplotlib/tests/test_ticker.py
index 7c6fe6a6112d..d15209cace11 100644
--- a/lib/matplotlib/tests/test_ticker.py
+++ b/lib/matplotlib/tests/test_ticker.py
@@ -357,9 +357,7 @@ def test_minor(self, lims, expected_low_ticks):
else:
# subsample
_LogitHelper.assert_almost_equal(
- np.sort(np.concatenate((major_ticks, minor_ticks))),
- expected_ticks,
- )
+ sorted([*major_ticks, *minor_ticks]), expected_ticks)
def test_minor_attr(self):
loc = mticker.LogitLocator(nbins=100)
diff --git a/lib/mpl_toolkits/axisartist/angle_helper.py b/lib/mpl_toolkits/axisartist/angle_helper.py
index ce8fe5d00fbe..235317a2be09 100644
--- a/lib/mpl_toolkits/axisartist/angle_helper.py
+++ b/lib/mpl_toolkits/axisartist/angle_helper.py
@@ -20,19 +20,11 @@ def select_step_degree(dv):
second_limits_ = np.array(minsec_limits_) / 3600
second_factors = [3600.] * len(second_limits_)
- degree_limits = np.concatenate([second_limits_,
- minute_limits_,
- degree_limits_])
+ degree_limits = [*second_limits_, *minute_limits_, *degree_limits_]
+ degree_steps = [*minsec_steps_, *minsec_steps_, *degree_steps_]
+ degree_factors = [*second_factors, *minute_factors, *degree_factors]
- degree_steps = np.concatenate([minsec_steps_,
- minsec_steps_,
- degree_steps_])
-
- degree_factors = np.concatenate([second_factors,
- minute_factors,
- degree_factors])
-
- n = degree_limits.searchsorted(dv)
+ n = np.searchsorted(degree_limits, dv)
step = degree_steps[n]
factor = degree_factors[n]
@@ -54,19 +46,11 @@ def select_step_hour(dv):
second_limits_ = np.array(minsec_limits_) / 3600
second_factors = [3600.] * len(second_limits_)
- hour_limits = np.concatenate([second_limits_,
- minute_limits_,
- hour_limits_])
-
- hour_steps = np.concatenate([minsec_steps_,
- minsec_steps_,
- hour_steps_])
-
- hour_factors = np.concatenate([second_factors,
- minute_factors,
- hour_factors])
+ hour_limits = [*second_limits_, *minute_limits_, *hour_limits_]
+ hour_steps = [*minsec_steps_, *minsec_steps_, *hour_steps_]
+ hour_factors = [*second_factors, *minute_factors, *hour_factors]
- n = hour_limits.searchsorted(dv)
+ n = np.searchsorted(hour_limits, dv)
step = hour_steps[n]
factor = hour_factors[n]
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