10000 ENH: passing colors (and other optional keyword arguments) to violinplot() by alimuldal · Pull Request #3875 · matplotlib/matplotlib · GitHub
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ENH: passing colors (and other optional keyword arguments) to violinplot() #3875

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ENH: passing colors (and other optional keyword arguments) to violinplot() #3875

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72b96d0
pass different colors (+ additional line/polycollection kwargs) to vi…
alimuldal Dec 3, 2014
8cd2225
replace dict defaults with None
alimuldal Dec 3, 2014
9a2f747
added unittests (w/o test images)
alimuldal Dec 3, 2014
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added unittests (w/o test images)
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@alimuldal
alimuldal committed Dec 3, 2014
commit 9a2f747fd48ece2ab2d7cb01692d770777dcf712
46 changes: 46 additions & 0 deletions lib/matplotlib/tests/test_axes.py
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Expand Up @@ -1797,6 +1797,52 @@ def test_horiz_violinplot_custompoints_200():
showextrema=0, showmedians=0, points=200)


@image_comparison(baseline_images=['violinplot_custom_color'],
extensions=['png'])
def test_violinplot_custom_color():
ax = plt.axes()
# First 9 digits of frac(sqrt(42))
np.random.seed(480740698)
data = [np.random.normal(size=100) for i in range(4)]
ax.violinplot(data, positions=range(4), vert=True, showmeans=0,
showextrema=0, showmedians=0, color='c')


@image_comparison(baseline_images=['violinplot_custom_multicolor'],
extensions=['png'])
def test_violinplot_custom_multicolor():
ax = plt.axes()
# First 9 digits of frac(sqrt(44))
np.random.seed(633249580)
data = [np.random.normal(size=100) for i in range(4)]
ax.violinplot(data, positions=range(4), vert=True, showmeans=0,
showextrema=0, showmedians=0, color=['r', 'g', 'b', 'c'])


@image_comparison(baseline_images=['violinplot_line_kw'],
extensions=['png'])
def test_violinplot_line_kw():
ax = plt.axes()
# First 9 digits of frac(sqrt(45))
np.random.seed(708203932)
data = [np.random.normal(size=100) for i in range(4)]
ax.violinplot(data, positions=range(4), vert=True, showmeans=1,
showextrema=1, showmedians=1,
line_kw=dict(colors='g', linestyles='dashed', alpha=0.5))


@image_comparison(baseline_images=['violinplot_fill_kw'],
extensions=['png'])
def test_violinplot_fill_kw():
ax = plt.axes()
# First 9 digits of frac(sqrt(46))
np.random.seed(782329983)
data = [np.random.normal(size=100) for i in range(4)]
ax.violinplot(data, positions=range(4), vert=True, showmeans=0,
showextrema=0, showmedians=0, alpha=1, edgecolor='r',
linewidths=2, linestyles='dashed')


@cleanup
def test_violinplot_bad_positions():
ax = plt.axes()
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