diff --git a/examples/animation/animated_histogram.py b/examples/animation/animated_histogram.py
index 2556708dd7e7..2319dab25335 100644
--- a/examples/animation/animated_histogram.py
+++ b/examples/animation/animated_histogram.py
@@ -45,7 +45,7 @@
# in the ``verts`` array to keep the codes aligned with the vertices.
nverts = nrects * (1 + 3 + 1)
verts = np.zeros((nverts, 2))
-codes = np.ones(nverts, int) * path.Path.LINETO
+codes = np.full(nverts, path.Path.LINETO)
codes[0::5] = path.Path.MOVETO
codes[4::5] = path.Path.CLOSEPOLY
verts[0::5, 0] = left
diff --git a/examples/api/donut.py b/examples/api/donut.py
index fca5ff6a91fb..9d1aae5e07c7 100644
--- a/examples/api/donut.py
+++ b/examples/api/donut.py
@@ -32,8 +32,7 @@ def make_circle(r):
inside_vertices = make_circle(0.5)
outside_vertices = make_circle(1.0)
-codes = np.ones(
- len(inside_vertices), dtype=mpath.Path.code_type) * mpath.Path.LINETO
+codes = np.full(len(inside_vertices), mpath.Path.LINETO)
codes[0] = mpath.Path.MOVETO
for i, (inside, outside) in enumerate(((1, 1), (1, -1), (-1, 1), (-1, -1))):
diff --git a/examples/api/filled_step.py b/examples/api/filled_step.py
index ea12ae343dd5..b44b7766a405 100644
--- a/examples/api/filled_step.py
+++ b/examples/api/filled_step.py
@@ -63,7 +63,7 @@ def filled_hist(ax, edges, values, bottoms=None, orientation='v',
if bottoms is None:
bottoms = np.zeros_like(values)
if np.isscalar(bottoms):
- bottoms = np.ones_like(values) * bottoms
+ bottoms = np.full_like(values, bottoms)
values = np.r_[values, values[-1]]
bottoms = np.r_[bottoms, bottoms[-1]]
diff --git a/examples/pyplots/boxplot_demo_pyplot.py b/examples/pyplots/boxplot_demo_pyplot.py
index 90eabd9e567c..39de467f5159 100644
--- a/examples/pyplots/boxplot_demo_pyplot.py
+++ b/examples/pyplots/boxplot_demo_pyplot.py
@@ -14,7 +14,7 @@
# fake up some data
spread = np.random.rand(50) * 100
-center = np.ones(25) * 50
+center = np.full(25, 50)
flier_high = np.random.rand(10) * 100 + 100
flier_low = np.random.rand(10) * -100
data = np.concatenate((spread, center, flier_high, flier_low))
@@ -61,7 +61,7 @@
# Fake up some more data
spread = np.random.rand(50) * 100
-center = np.ones(25) * 40
+center = np.full(25, 40)
flier_high = np.random.rand(10) * 100 + 100
flier_low = np.random.rand(10) * -100
d2 = np.concatenate((spread, center, flier_high, flier_low))
diff --git a/examples/pyplots/compound_path_demo.py b/examples/pyplots/compound_path_demo.py
index 6310cf8b021f..62b8246a91c5 100644
--- a/examples/pyplots/compound_path_demo.py
+++ b/examples/pyplots/compound_path_demo.py
@@ -29,7 +29,7 @@
nverts = nrects*(1+3+1)
verts = np.zeros((nverts, 2))
-codes = np.ones(nverts, int) * path.Path.LINETO
+codes = np.full(nverts, path.Path.LINETO)
codes[0::5] = path.Path.MOVETO
codes[4::5] = path.Path.CLOSEPOLY
verts[0::5,0] = left
diff --git a/examples/specialty_plots/leftventricle_bulleye.py b/examples/specialty_plots/leftventricle_bulleye.py
index 9269c007b9d4..f3e1f0020606 100644
--- a/examples/specialty_plots/leftventricle_bulleye.py
+++ b/examples/specialty_plots/leftventricle_bulleye.py
@@ -78,7 +78,7 @@ def bullseye_plot(ax, data, segBold=None, cmap=None, norm=None):
# First segment start at 60 degrees
theta0 = theta[i * 128:i * 128 + 128] + np.deg2rad(60)
theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
- z = np.ones((128, 2)) * data[i]
+ z = np.full((128, 2), data[i])
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
if i + 1 in segBold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)
@@ -92,7 +92,7 @@ def bullseye_plot(ax, data, segBold=None, cmap=None, norm=None):
# First segment start at 60 degrees
theta0 = theta[i * 128:i * 128 + 128] + np.deg2rad(60)
theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
- z = np.ones((128, 2)) * data[i + 6]
+ z = np.full((128, 2), data[i + 6])
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
if i + 7 in segBold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)
@@ -106,7 +106,7 @@ def bullseye_plot(ax, data, segBold=None, cmap=None, norm=None):
# First segment start at 45 degrees
theta0 = theta[i * 192:i * 192 + 192] + np.deg2rad(45)
theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
- z = np.ones((192, 2)) * data[i + 12]
+ z = np.full((192, 2), data[i + 12])
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
if i + 13 in segBold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)
@@ -118,7 +118,7 @@ def bullseye_plot(ax, data, segBold=None, cmap=None, norm=None):
r0 = np.array([0, r[0]])
r0 = np.repeat(r0[:, np.newaxis], theta.size, axis=1).T
theta0 = np.repeat(theta[:, np.newaxis], 2, axis=1)
- z = np.ones((theta.size, 2)) * data[16]
+ z = np.full((theta.size, 2), data[16])
ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
if 17 in segBold:
ax.plot(theta0, r0, '-k', lw=linewidth + 2)
diff --git a/examples/statistics/boxplot_demo.py b/examples/statistics/boxplot_demo.py
index 83a566e0a2fa..6a20e0f37678 100644
--- a/examples/statistics/boxplot_demo.py
+++ b/examples/statistics/boxplot_demo.py
@@ -20,7 +20,7 @@
# fake up some data
spread = np.random.rand(50) * 100
-center = np.ones(25) * 50
+center = np.full(25, 50)
flier_high = np.random.rand(10) * 100 + 100
flier_low = np.random.rand(10) * -100
data = np.concatenate((spread, center, flier_high, flier_low))
@@ -56,7 +56,7 @@
# fake up some more data
spread = np.random.rand(50) * 100
-center = np.ones(25) * 40
+center = np.full(25, 40)
flier_high = np.random.rand(10) * 100 + 100
flier_low = np.random.rand(10) * -100
d2 = np.concatenate((spread, center, flier_high, flier_low))
diff --git a/examples/text_labels_and_annotations/legend_demo.py b/examples/text_labels_and_annotations/legend_demo.py
index 2b4636834147..b989eae01595 100644
--- a/examples/text_labels_and_annotations/legend_demo.py
+++ b/examples/text_labels_and_annotations/legend_demo.py
@@ -135,7 +135,7 @@ def create_artists(self, legend, orig_handle,
leglines = []
# divide the vertical space where the lines will go
# into equal parts based on the number of lines
- ydata = ((height) / (numlines + 1)) * np.ones(xdata.shape, float)
+ ydata = np.full_like(xdata, height / (numlines + 1))
# for each line, create the line at the proper location
# and set the dash pattern
for i in range(numlines):
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index d476deb356fd..bfce48ddae18 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -3801,7 +3801,7 @@ def dopatch(xs, ys, **kwargs):
datalabels.append(stats.get('label', pos))
# whisker coords
- whisker_x = np.ones(2) * pos
+ whisker_x = np.full(2, pos)
whiskerlo_y = np.array([stats['q1'], stats['whislo']])
whiskerhi_y = np.array([stats['q3'], stats['whishi']])
@@ -3809,8 +3809,8 @@ def dopatch(xs, ys, **kwargs):
cap_left = pos - width * 0.25
cap_right = pos + width * 0.25
cap_x = np.array([cap_left, cap_right])
- cap_lo = np.ones(2) * stats['whislo']
- cap_hi = np.ones(2) * stats['whishi']
+ cap_lo = np.full(2, stats['whislo'])
+ cap_hi = np.full(2, stats['whishi'])
# box and median coords
box_left = pos - width * 0.5
@@ -3873,7 +3873,7 @@ def dopatch(xs, ys, **kwargs):
# maybe draw the fliers
if showfliers:
# fliers coords
- flier_x = np.ones(len(stats['fliers'])) * pos
+ flier_x = np.full(len(stats['fliers']), pos)
flier_y = stats['fliers']
fliers.extend(doplot(
diff --git a/lib/matplotlib/collections.py b/lib/matplotlib/collections.py
index aee38d4e1f42..54a0921ec9c1 100644
--- a/lib/matplotlib/collections.py
+++ b/lib/matplotlib/collections.py
@@ -941,8 +941,8 @@ def set_verts(self, verts, closed=True):
else:
xy = np.asarray(xy)
xy = np.concatenate([xy, xy[0:1]])
- codes = np.empty(xy.shape[0], dtype=mpath.Path.code_type)
- codes[:] = mpath.Path.LINETO
+ codes = np.full(xy.shape[0], mpath.Path.LINETO,
+ dtype=mpath.Path.code_type)
codes[0] = mpath.Path.MOVETO
codes[-1] = mpath.Path.CLOSEPOLY
self._paths.append(mpath.Path(xy, codes))
diff --git a/lib/matplotlib/hatch.py b/lib/matplotlib/hatch.py
index cb1e2960faf3..867039e3723f 100644
--- a/lib/matplotlib/hatch.py
+++ b/lib/matplotlib/hatch.py
@@ -169,7 +169,7 @@ def __init__(self, hatch, density):
self.num_rows = (hatch.count('*')) * density
path = Path.unit_regular_star(5)
self.shape_vertices = path.vertices
- self.shape_codes = np.ones(len(self.shape_vertices)) * Path.LINETO
+ self.shape_codes = np.full(len(self.shape_vertices), Path.LINETO)
self.shape_codes[0] = Path.MOVETO
Shapes.__init__(self, hatch, density)
diff --git a/lib/matplotlib/legend_handler.py b/lib/matplotlib/legend_handler.py
index 84405f2cbbc4..3a258c110b32 100644
--- a/lib/matplotlib/legend_handler.py
+++ b/lib/matplotlib/legend_handler.py
@@ -231,7 +231,7 @@ def create_artists(self, legend, orig_handle,
xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
width, height, fontsize)
- ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)
+ ydata = np.full_like(xdata, (height - ydescent) / 2)
legline = Line2D(xdata, ydata)
self.update_prop(legline, orig_handle, legend)
@@ -324,7 +324,7 @@ def create_artists(self, legend, orig_handle,
xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
width, height, fontsize)
- ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)
+ ydata = np.full_like(xdata, (height - ydescent) / 2)
legline = Line2D(xdata, ydata)
self.update_prop(legline, orig_handle, legend)
@@ -466,7 +466,7 @@ def create_artists(self, legend, orig_handle,
xdata, xdata_marker = self.get_xdata(legend, xdescent, ydescent,
width, height, fontsize)
- ydata = ((height - ydescent) / 2.) * np.ones(xdata.shape, float)
+ ydata = np.full_like(xdata, (height - ydescent) / 2)
legline = Line2D(xdata, ydata)
xdata_marker = np.asarray(xdata_marker)
diff --git a/lib/matplotlib/path.py b/lib/matplotlib/path.py
index 1d248c401b77..c50d6a781adf 100644
--- a/lib/matplotlib/path.py
+++ b/lib/matplotlib/path.py
@@ -315,10 +315,10 @@ def make_compound_path_from_polys(cls, XY):
raise ValueError("The third dimension of 'XY' must be 2")
stride = numsides + 1
nverts = numpolys * stride
- verts = np.zeros((nverts, 2))
- codes = np.ones(nverts, int) * cls.LINETO
+ codes = np.full(nverts, cls.LINETO)
codes[0::stride] = cls.MOVETO
codes[numsides::stride] = cls.CLOSEPOLY
+ verts = np.zeros((nverts, 2))
for i in range(numsides):
verts[i::stride] = XY[:, i]
@@ -566,7 +566,7 @@ def interpolated(self, steps):
vertices = simple_linear_interpolation(self.vertices, steps)
codes = self.codes
if codes is not None:
- new_codes = Path.LINETO * np.ones(((len(codes) - 1) * steps + 1, ))
+ new_codes = np.full((len(codes) - 1) * steps + 1, Path.LINETO)
new_codes[0::steps] = codes
else:
new_codes = None
@@ -886,8 +886,8 @@ def arc(cls, theta1, theta2, n=None, is_wedge=False):
if is_wedge:
length = n * 3 + 4
- vertices = np.zeros((length, 2), float)
- codes = cls.CURVE4 * np.ones((length, ), cls.code_type)
+ vertices = np.zeros((length, 2))
+ codes = np.full(length, cls.CURVE4, cls.code_type)
vertices[1] = [xA[0], yA[0]]
codes[0:2] = [cls.MOVETO, cls.LINETO]
codes[-2:] = [cls.LINETO, cls.CLOSEPOLY]
@@ -895,8 +895,8 @@ def arc(cls, theta1, theta2, n=None, is_wedge=False):
end = length - 2
else:
length = n * 3 + 1
- vertices = np.empty((length, 2), float)
- codes = cls.CURVE4 * np.ones((length, ), cls.code_type)
+ vertices = np.empty((length, 2))
+ codes = np.full(length, cls.CURVE4, cls.code_type)
vertices[0] = [xA[0], yA[0]]
codes[0] = cls.MOVETO
vertex_offset = 1
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index 479e55b37251..1af2b42c6072 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -1517,7 +1517,7 @@ def test_hist_steplog():
data += -2.0 - np.min(data)
data_pos = data + 2.1
data_big = data_pos + 30
- weights = np.ones_like(data) * 1.e-5
+ weights = np.full_like(data, 1e-5)
ax = plt.subplot(4, 1, 1)
plt.hist(data, 100, histtype='stepfilled', log=True)
@@ -4948,7 +4948,7 @@ def test_violin_point_mass():
def generate_errorbar_inputs():
- base_xy = cycler('x', [np.arange(5)]) + cycler('y', [np.ones((5, ))])
+ base_xy = cycler('x', [np.arange(5)]) + cycler('y', [np.ones(5)])
err_cycler = cycler('err', [1,
[1, 1, 1, 1, 1],
[[1, 1, 1, 1, 1],
diff --git a/lib/matplotlib/tests/test_collections.py b/lib/matplotlib/tests/test_collections.py
index 73bea37a992e..55bbb941212d 100644
--- a/lib/matplotlib/tests/test_collections.py
+++ b/lib/matplotlib/tests/test_collections.py
@@ -454,7 +454,7 @@ def test_EllipseCollection():
ww = X / x[-1]
hh = Y / y[-1]
- aa = np.ones_like(ww) * 20 # first axis is 20 degrees CCW from x axis
+ aa = np.full_like(ww, 20) # first axis is 20 degrees CCW from x axis
ec = mcollections.EllipseCollection(ww, hh, aa,
units='x',
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
index a1feed5e4dca..cbc2a7e891fe 100644
--- a/lib/matplotlib/tests/test_image.py
+++ b/lib/matplotlib/tests/test_image.py
@@ -910,12 +910,9 @@ def test_imshow_bool():
def test_full_invalid():
- x = np.ones((10, 10))
- x[:] = np.nan
-
+ x = np.full((10, 10), np.nan)
f, ax = plt.subplots()
ax.imshow(x)
-
f.canvas.draw()
diff --git a/lib/matplotlib/tests/test_legend.py b/lib/matplotlib/tests/test_legend.py
index 830fe798c44c..fc891a41019a 100644
--- a/lib/matplotlib/tests/test_legend.py
+++ b/lib/matplotlib/tests/test_legend.py
@@ -84,7 +84,7 @@ def test_labels_first():
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(np.arange(10), '-o', label=1)
- ax.plot(np.ones(10)*5, ':x', label="x")
+ ax.plot(np.full(10, 5), ':x', label="x")
ax.plot(np.arange(20, 10, -1), 'd', label="diamond")
ax.legend(loc=0, markerfirst=False)
diff --git a/lib/matplotlib/tests/test_lines.py b/lib/matplotlib/tests/test_lines.py
index ca9c8187c519..51f5f0f58904 100644
--- a/lib/matplotlib/tests/test_lines.py
+++ b/lib/matplotlib/tests/test_lines.py
@@ -189,7 +189,7 @@ def test_lw_scaling():
cy = cycler(matplotlib.rcParams['axes.prop_cycle'])
for j, (ls, sty) in enumerate(zip(lins_styles, cy)):
for lw in np.linspace(.5, 10, 10):
- ax.plot(th, j*np.ones(50) + .1 * lw, linestyle=ls, lw=lw, **sty)
+ ax.plot(th, np.full(50, j) + .1 * lw, linestyle=ls, lw=lw, **sty)
def test_nan_is_sorted():
diff --git a/lib/matplotlib/tests/test_path.py b/lib/matplotlib/tests/test_path.py
index 5bc499713ecc..0c928bdfdddf 100644
--- a/lib/matplotlib/tests/test_path.py
+++ b/lib/matplotlib/tests/test_path.py
@@ -123,7 +123,7 @@ def test_marker_paths_pdf():
N = 7
plt.errorbar(np.arange(N),
- np.ones(N) + 4,
+ np.full(N, 5),
np.ones(N))
plt.xlim(-1, N)
plt.ylim(-1, 7)
diff --git a/lib/matplotlib/tests/test_quiver.py b/lib/matplotlib/tests/test_quiver.py
index a0e1e674f4ca..e93a78a26f1e 100644
--- a/lib/matplotlib/tests/test_quiver.py
+++ b/lib/matplotlib/tests/test_quiver.py
@@ -158,8 +158,8 @@ def test_bad_masked_sizes():
'Test error handling when given differing sized masked arrays'
x = np.arange(3)
y = np.arange(3)
- u = np.ma.array(15. * np.ones((4,)))
- v = np.ma.array(15. * np.ones_like(u))
+ u = np.ma.array(np.full(4, 15.))
+ v = np.ma.array(np.full(4, 15.))
u[1] = np.ma.masked
v[1] = np.ma.masked
fig, ax = plt.subplots()
diff --git a/lib/matplotlib/tests/test_triangulation.py b/lib/matplotlib/tests/test_triangulation.py
index 68ddd9927a26..7e25d7184236 100644
--- a/lib/matplotlib/tests/test_triangulation.py
+++ b/lib/matplotlib/tests/test_triangulation.py
@@ -645,7 +645,7 @@ def test_triinterp_colinear():
zs_target = 1.23*xs - 4.79*ys
for interp in (linear_interp, cubic_min_E, cubic_geom):
zs, = interp._interpolate_multikeys(
- xs, ys, tri_index=itri*np.ones(10, dtype=np.int32))
+ xs, ys, tri_index=np.full(10, itri, dtype=np.int32))
assert_array_almost_equal(zs_target, zs)
diff --git a/lib/matplotlib/text.py b/lib/matplotlib/text.py
index 77cf2313427b..e824dfdc6ec4 100644
--- a/lib/matplotlib/text.py
+++ b/lib/matplotlib/text.py
@@ -343,8 +343,7 @@ def _get_layout(self, renderer):
# get the rotation matrix
M = Affine2D().rotate_deg(self.get_rotation())
- offsetLayout = np.zeros((len(lines), 2))
- offsetLayout[:] = horizLayout[:, 0:2]
+ offsetLayout = horizLayout[:, 0:2].copy()
# now offset the individual text lines within the box
if len(lines) > 1: # do the multiline aligment
malign = self._get_multialignment()
diff --git a/lib/matplotlib/tri/triinterpolate.py b/lib/matplotlib/tri/triinterpolate.py
index cc19edbefa4e..c5a606a26433 100644
--- a/lib/matplotlib/tri/triinterpolate.py
+++ b/lib/matplotlib/tri/triinterpolate.py
@@ -679,7 +679,7 @@ class _ReducedHCT_Element():
[ 4./18., 1./18., 13./18.],
[13./18., 1./18., 4./18.],
[ 7./18., 4./18., 7./18.]], dtype=np.float64)
- gauss_w = np.ones([9], dtype=np.float64) / 9.
+ gauss_w = np.full(9, 1 / 9)
# 4) Stiffness matrix for curvature energy
E = np.array([[1., 0., 0.], [0., 1., 0.], [0., 0., 2.]])
diff --git a/tutorials/advanced/path_tutorial.py b/tutorials/advanced/path_tutorial.py
index a440a8b2aeaf..86a4f42484c0 100644
--- a/tutorials/advanced/path_tutorial.py
+++ b/tutorials/advanced/path_tutorial.py
@@ -158,7 +158,7 @@
#
# nverts = nrects*(1+3+1)
# verts = np.zeros((nverts, 2))
-# codes = np.ones(nverts, int) * path.Path.LINETO
+# codes = np.full(nverts, path.Path.LINETO)
# codes[0::5] = path.Path.MOVETO
# codes[4::5] = path.Path.CLOSEPOLY
# verts[0::5,0] = left
@@ -201,7 +201,7 @@
nverts = nrects*(1+3+1)
verts = np.zeros((nverts, 2))
-codes = np.ones(nverts, int) * path.Path.LINETO
+codes = np.full(nverts, path.Path.LINETO)
codes[0::5] = path.Path.MOVETO
codes[4::5] = path.Path.CLOSEPOLY
verts[0::5, 0] = left
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