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Function test_bbox_inches_tight

lib/matplotlib/tests/test_bbox_tight.py:16–45  ·  view source on GitHub ↗
(text_placeholders)

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14@image_comparison(['bbox_inches_tight'], remove_text=True, style='mpl20',
15 savefig_kwarg={'bbox_inches': 'tight'})
16def test_bbox_inches_tight(text_placeholders):
17 #: Test that a figure saved using bbox_inches='tight' is clipped correctly
18 data = [[66386, 174296, 75131, 577908, 32015],
19 [58230, 381139, 78045, 99308, 160454],
20 [89135, 80552, 152558, 497981, 603535],
21 [78415, 81858, 150656, 193263, 69638],
22 [139361, 331509, 343164, 781380, 52269]]
23
24 col_labels = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
25 row_labels = [f'{x} year' for x in (100, 50, 20, 10, 5)]
26
27 rows = len(data)
28 ind = np.arange(len(col_labels)) + 0.3 # the x locations for the groups
29 cell_text = []
30 width = 0.4 # the width of the bars
31 yoff = np.zeros(len(col_labels))
32 # the bottom values for stacked bar chart
33 fig, ax = plt.subplots(1, 1)
34 for row in range(rows):
35 ax.bar(ind, data[row], width, bottom=yoff, align='edge')
36 yoff = yoff + data[row]
37 cell_text.append([f'{x / 1000:1.1f}' for x in yoff])
38 plt.xticks([])
39 plt.xlim(0, 5)
40 plt.legend(['1', '2', '3', '4', '5'], loc=(1.2, 0.2))
41 fig.legend(['a', 'b', 'c', 'd', 'e'], bbox_to_anchor=(0, 0.2), loc='lower left')
42 # Add a table at the bottom of the axes
43 cell_text.reverse()
44 plt.table(cellText=cell_text, rowLabels=row_labels, colLabels=col_labels,
45 loc='bottom')
46
47
48@image_comparison(['bbox_inches_tight_suptile_legend'],

Callers

nothing calls this directly

Calls 3

subplotsMethod · 0.45
barMethod · 0.45
legendMethod · 0.45

Tested by

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