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Replace subplot(ijk) calls by subplots(i, j)#18567

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Merged
dopplershift merged 1 commit intomatplotlib:masterfromtimhoffm:subplot-cleanup
Sep 25, 2020
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5 changes: 1 addition & 4 deletionsexamples/misc/patheffect_demo.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -8,8 +8,7 @@
from matplotlib import patheffects
import numpy as np

plt.figure(figsize=(8, 3))
ax1 = plt.subplot(131)
fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(8, 3))
ax1.imshow([[1, 2], [2, 3]])
txt = ax1.annotate("test", (1., 1.), (0., 0),
arrowprops=dict(arrowstyle="->",
Expand All@@ -25,7 +24,6 @@
foreground="w")]
ax1.grid(True, linestyle="-", path_effects=pe)

ax2 = plt.subplot(132)
arr = np.arange(25).reshape((5, 5))
ax2.imshow(arr)
cntr = ax2.contour(arr, colors="k")
Expand All@@ -38,7 +36,6 @@
patheffects.withStroke(linewidth=3, foreground="w")])

# shadow as a path effect
ax3 = plt.subplot(133)
p1, = ax3.plot([0, 1], [0, 1])
leg = ax3.legend([p1], ["Line 1"], fancybox=True, loc='upper left')
leg.legendPatch.set_path_effects([patheffects.withSimplePatchShadow()])
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4 changes: 1 addition & 3 deletionsexamples/pie_and_polar_charts/bar_of_pie.py
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Expand Up@@ -15,9 +15,7 @@
import numpy as np

# make figure and assign axis objects
fig = plt.figure(figsize=(9, 5))
ax1 = fig.add_subplot(121)
ax2 = fig.add_subplot(122)
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(9, 5))
fig.subplots_adjust(wspace=0)

# pie chart parameters
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24 changes: 8 additions & 16 deletionsexamples/text_labels_and_annotations/demo_text_path.py
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Expand Up@@ -48,28 +48,24 @@ def draw(self, renderer=None):

usetex = plt.rcParams["text.usetex"]

fig= plt.figure()
fig, (ax1, ax2)= plt.subplots(2)

# EXAMPLE 1

ax = plt.subplot(211)

arr = plt.imread(get_sample_data("grace_hopper.png"))

text_path = TextPath((0, 0), "!?", size=150)
p = PathClippedImagePatch(text_path, arr, ec="k",
transform=IdentityTransform())

# p.set_clip_on(False)

# make offset box
offsetbox = AuxTransformBox(IdentityTransform())
offsetbox.add_artist(p)

# make anchored offset box
ao = AnchoredOffsetbox(loc='upper left', child=offsetbox, frameon=True,
borderpad=0.2)
ax.add_artist(ao)
ax1.add_artist(ao)

# another text
from matplotlib.patches import PathPatch
Expand All@@ -95,16 +91,13 @@ def draw(self, renderer=None):
box_alignment=(1., 0.),
frameon=False
)
ax.add_artist(ab)
ax1.add_artist(ab)

ax.imshow([[0, 1, 2], [1, 2, 3]], cmap=plt.cm.gist_gray_r,
interpolation="bilinear",
aspect="auto")
ax1.imshow([[0, 1, 2], [1, 2, 3]], cmap=plt.cm.gist_gray_r,
interpolation="bilinear", aspect="auto")

# EXAMPLE 2

ax = plt.subplot(212)

arr = np.arange(256).reshape(1, 256) / 256

if usetex:
Expand All@@ -131,11 +124,10 @@ def draw(self, renderer=None):
boxcoords="offset points",
box_alignment=(0.5, 0.5),
)
# text_path.set_size(10)

ax.add_artist(ab)
ax2.add_artist(ab)

ax.set_xlim(0, 1)
ax.set_ylim(0, 1)
ax2.set_xlim(0, 1)
ax2.set_ylim(0, 1)

plt.show()
33 changes: 11 additions & 22 deletionslib/matplotlib/tests/test_axes.py
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Expand Up@@ -602,26 +602,21 @@ def test_fill_units():
dt = np.arange('2009-04-27', '2009-04-29', dtype='datetime64[D]')
dtn = mdates.date2num(dt)

fig= plt.figure()
fig, ((ax1, ax2), (ax3, ax4))= plt.subplots(2, 2)
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I am not a fan of this idiom versusfig, axs = plt.subplots(2, 2). You lose the ability to iterate if you spell them all out like this.

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I think which is better depends on what you are doing (a grid of similar Axes or a grid of very different Axes).

In this case the code was previously usingaxN so this is the minimal touch to move away fromadd_subplot(XYZ).

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And I think it also depends on the names you use,

fig, (ax_hist,ax_map)=plt.subplots(2)

seems much better that slicing into an array (which is similar to the argument of whysubplot_mosaic returns a dict).

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I agree with@tacaswell, especially since this minimizes changes.


# Top-Left
ax1 = fig.add_subplot(221)
ax1.plot([t], [value], yunits='deg', color='red')
ind = [0, 0, 1, 1]
ax1.fill(dtn[ind], [0.0, 0.0, 90.0, 0.0], 'b')
# Top-Right
ax2 = fig.add_subplot(222)

ax2.plot([t], [value], yunits='deg', color='red')
ax2.fill([t, t, t + day, t + day],
[0.0, 0.0, 90.0, 0.0], 'b')
# Bottom-Left
ax3 = fig.add_subplot(223)

ax3.plot([t], [value], yunits='deg', color='red')
ax3.fill(dtn[ind],
[0 * units.deg, 0 * units.deg, 90 * units.deg, 0 * units.deg],
'b')
# Bottom-Right
ax4 = fig.add_subplot(224)

ax4.plot([t], [value], yunits='deg', color='red')
ax4.fill([t, t, t + day, t + day],
[0 * units.deg, 0 * units.deg, 90 * units.deg, 0 * units.deg],
Expand All@@ -635,22 +630,16 @@ def test_single_point():
matplotlib.rcParams['lines.marker'] = 'o'
matplotlib.rcParams['axes.grid'] = True

plt.figure()
plt.subplot(211)
plt.plot([0], [0], 'o')

plt.subplot(212)
plt.plot([1], [1], 'o')
fig, (ax1, ax2) = plt.subplots(2)
ax1.plot([0], [0], 'o')
ax2.plot([1], [1], 'o')

# Reuse testcase from above for a labeled data test
data = {'a': [0], 'b': [1]}

plt.figure()
plt.subplot(211)
plt.plot('a', 'a', 'o', data=data)

plt.subplot(212)
plt.plot('b', 'b', 'o', data=data)
fig, (ax1, ax2) = plt.subplots(2)
ax1.plot('a', 'a', 'o', data=data)
ax2.plot('b', 'b', 'o', data=data)


@image_comparison(['single_date.png'], style='mpl20')
Expand DownExpand Up@@ -721,7 +710,7 @@ def test_axvspan_epoch():
dt = units.Duration("ET", units.day.convert("sec"))

ax = plt.gca()
plt.axvspan(t0, tf, facecolor="blue", alpha=0.25)
ax.axvspan(t0, tf, facecolor="blue", alpha=0.25)
ax.set_xlim(t0 - 5.0*dt, tf + 5.0*dt)


Expand Down
5 changes: 1 addition & 4 deletionslib/matplotlib/tests/test_backend_pgf.py
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Expand Up@@ -198,11 +198,8 @@ def test_bbox_inches():
'pgf.rcfonts': False}
mpl.rcParams.update(rc_xelatex)

Y, X = np.ogrid[-1:1:40j, -1:1:40j]
fig = plt.figure()
ax1 = fig.add_subplot(121)
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.plot(range(5))
ax2 = fig.add_subplot(122)
ax2.plot(range(5))
plt.tight_layout()

Expand Down
5 changes: 1 addition & 4 deletionslib/matplotlib/tests/test_contour.py
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Expand Up@@ -325,11 +325,8 @@ def test_contourf_log_extension():
plt.rcParams['pcolormesh.snap'] = False

# Test that contourf with lognorm is extended correctly
fig= plt.figure(figsize=(10, 5))
fig, (ax1, ax2, ax3)= plt.subplots(1, 3,figsize=(10, 5))
fig.subplots_adjust(left=0.05, right=0.95)
ax1 = fig.add_subplot(131)
ax2 = fig.add_subplot(132)
ax3 = fig.add_subplot(133)

# make data set with large range e.g. between 1e-8 and 1e10
data_exp = np.linspace(-7.5, 9.5, 1200)
Expand Down
12 changes: 3 additions & 9 deletionslib/matplotlib/tests/test_image.py
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Expand Up@@ -27,20 +27,16 @@ def test_image_interps():
# Remove this line when this test image is regenerated.
plt.rcParams['text.kerning_factor'] = 6

X = np.arange(100)
X = X.reshape(5, 20)
X = np.arange(100).reshape(5, 20)

fig = plt.figure()
ax1 = fig.add_subplot(311)
fig, (ax1, ax2, ax3) = plt.subplots(3)
ax1.imshow(X, interpolation='nearest')
ax1.set_title('three interpolations')
ax1.set_ylabel('nearest')

ax2 = fig.add_subplot(312)
ax2.imshow(X, interpolation='bilinear')
ax2.set_ylabel('bilinear')

ax3 = fig.add_subplot(313)
ax3.imshow(X, interpolation='bicubic')
ax3.set_ylabel('bicubic')

Expand DownExpand Up@@ -69,11 +65,9 @@ def test_interp_nearest_vs_none():
rcParams['savefig.dpi'] = 3
X = np.array([[[218, 165, 32], [122, 103, 238]],
[[127, 255, 0], [255, 99, 71]]], dtype=np.uint8)
fig = plt.figure()
ax1 = fig.add_subplot(121)
fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.imshow(X, interpolation='none')
ax1.set_title('interpolation none')
ax2 = fig.add_subplot(122)
ax2.imshow(X, interpolation='nearest')
ax2.set_title('interpolation nearest')

Expand Down
2 changes: 1 addition & 1 deletiontutorials/text/annotations.py
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Expand Up@@ -425,7 +425,7 @@

This allows annotating a point in another axes::

ax1, ax2 =subplot(121), subplot(122)
fig, (ax1, ax2) =plt.subplots(1, 2)
ax2.annotate("Test", xy=(0.5, 0.5), xycoords=ax1.transData,
xytext=(0.5, 0.5), textcoords=ax2.transData,
arrowprops=dict(arrowstyle="->"))
Expand Down
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