MCPcopy Index your code
hub / github.com/matplotlib/matplotlib / test_twin_spines_on_top

Function test_twin_spines_on_top

lib/matplotlib/tests/test_axes.py:6243–6269  ·  view source on GitHub ↗
()

Source from the content-addressed store, hash-verified

6241@image_comparison(['twin_spines_on_top.png', 'twin_spines_on_top.png'],
6242 remove_text=True, style='_classic_test')
6243def test_twin_spines_on_top():
6244 matplotlib.rcParams['axes.linewidth'] = 48.0
6245 matplotlib.rcParams['lines.linewidth'] = 48.0
6246
6247 fig = plt.figure()
6248 ax1 = fig.add_subplot(1, 1, 1)
6249
6250 data = np.array([[1000, 1100, 1200, 1250],
6251 [310, 301, 360, 400]])
6252
6253 ax2 = ax1.twinx()
6254
6255 ax1.plot(data[0], data[1]/1E3, color='#BEAED4')
6256 ax1.fill_between(data[0], data[1]/1E3, color='#BEAED4', alpha=.8)
6257
6258 ax2.plot(data[0], data[1]/1E3, color='#7FC97F')
6259 ax2.fill_between(data[0], data[1]/1E3, color='#7FC97F', alpha=.5)
6260
6261 # Reuse testcase from above for a labeled data test
6262 data = {"i": data[0], "j": data[1]/1E3}
6263 fig = plt.figure()
6264 ax1 = fig.add_subplot(1, 1, 1)
6265 ax2 = ax1.twinx()
6266 ax1.plot("i", "j", color='#BEAED4', data=data)
6267 ax1.fill_between("i", "j", color='#BEAED4', alpha=.8, data=data)
6268 ax2.plot("i", "j", color='#7FC97F', data=data)
6269 ax2.fill_between("i", "j", color='#7FC97F', alpha=.5, data=data)
6270
6271
6272@pytest.mark.parametrize("grid_which, major_visible, minor_visible", [

Callers

nothing calls this directly

Calls 5

figureMethod · 0.80
add_subplotMethod · 0.80
twinxMethod · 0.45
plotMethod · 0.45
fill_betweenMethod · 0.45

Tested by

no test coverage detected

Used in the wild real call sites across dependent graphs

searching dependent graphs…