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Replace some usages of plt.subplot() by plt.subplots() in tests #18554

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Merged
merged 1 commit into from
Sep 25, 2020
Merged

Replace some usages of plt.subplot() by plt.subplots() in tests #18554

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4 changes: 2 additions & 2 deletions lib/matplotlib/tests/test_artist.py
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Original file line number Diff line number Diff line change
Expand Up @@ -105,13 +105,13 @@ def test_clipping():
star = mpath.Path.unit_regular_star(6).deepcopy()
star.vertices *= 2.6

ax1 = plt.subplot(121)
fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)

col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
facecolor='red', alpha=0.7, hatch='*')
col.set_clip_path(clip_path, ax1.transData)
ax1.add_collection(col)

ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
alpha=0.7, hatch='*')
patch.set_clip_path(clip_path, ax2.transData)
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4 changes: 2 additions & 2 deletions lib/matplotlib/tests/test_axes.py
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Expand Up @@ -5464,12 +5464,12 @@ def test_shared_axes_autoscale():
l = np.arange(-80, 90, 40)
t = np.random.random_sample((l.size, l.size))

ax1 = plt.subplot(211)
fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True, sharey=True)

ax1.set_xlim(-1000, 1000)
ax1.set_ylim(-1000, 1000)
ax1.contour(l, l, t)

ax2 = plt.subplot(212, sharex=ax1, sharey=ax1)
ax2.contour(l, l, t)
assert not ax1.get_autoscalex_on() and not ax2.get_autoscalex_on()
assert not ax1.get_autoscaley_on() and not ax2.get_autoscaley_on()
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14 changes: 4 additions & 10 deletions lib/matplotlib/tests/test_image.py
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Expand Up @@ -260,19 +260,13 @@ def test_imsave_pil_kwargs_tiff():

@image_comparison(['image_alpha'], remove_text=True)
def test_image_alpha():
plt.figure()

np.random.seed(0)
Z = np.random.rand(6, 6)

plt.subplot(131)
plt.imshow(Z, alpha=1.0, interpolation='none')

plt.subplot(132)
plt.imshow(Z, alpha=0.5, interpolation='none')

plt.subplot(133)
plt.imshow(Z, alpha=0.5, interpolation='nearest')
fig, (ax1, ax2, ax3) = plt.subplots(1, 3)
ax1.imshow(Z, alpha=1.0, interpolation='none')
ax2.imshow(Z, alpha=0.5, interpolation='none')
ax3.imshow(Z, alpha=0.5, interpolation='nearest')


def test_cursor_data():
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