set_hatch not work in boxplot

[eeeXun]

set_hatch not work in boxplot

[mwaskom]

It's possible that matplotlib changed the underlying data model as ax.artists is empty in your example script. But you can access the box patches more directly at ax.patches. Also seaborn v0.13 started packaging the boxplot artists in a container and storing it at ax.containers which is another way of making your post-processing a bit more explicit.

[eeeXun]

Thanks. Changing ax.artists to ax.patches works for me.

from itertools import cycle

from matplotlib import pyplot as plt
import seaborn as sns; sns.set()

# Load dataset
tips = sns.load_dataset('tips')

# Define some hatches
hatches = cycle(['///', 'x'])

# Boxplot
ax = sns.boxplot(x="day", y="total_bill", hue="sex", data=tips)
for i, patch in enumerate(ax.patches):
    # Boxes from left to right
    hatch = next(hatches)
    patch.set_hatch(hatch)

ax.legend()
plt.show()

But what do you mean ax.containers? Changing ax.artists to ax.containers gives the error that BoxPlotContainer has no attribute set_hatch. Do I call it the wrong way?

[mwaskom]

Do I call it the wrong way?

Yes — do e.g.

bxp = ax.containers[0]
bxp.boxes

[<matplotlib.patches.PathPatch at 0x12b095a50>,
 <matplotlib.patches.PathPatch at 0x12b0a4950>,
 <matplotlib.patches.PathPatch at 0x12b0602d0>,
 <matplotlib.patches.PathPatch at 0x12b0636d0>]

[eeeXun]

Oh, I get it. Thank you for answering me so quickly. Appreciate!

[eeeXun]

Hi @mwaskom, after trying again. ax.containers is exactly what I want.

from matplotlib import pyplot as plt
import seaborn as sns; sns.set()

# Load dataset
tips = sns.load_dataset('tips')

# Define some hatches
hatches = ['///', 'x']

# Boxplot
ax = sns.boxplot(x="day", y="total_bill", hue="sex", data=tips)
for i in range(2):
    for box in ax.containers[i].boxes:
        box.set_hatch(hatches[i % len(hatches)])

ax.legend()
plt.show()

But the legend did not get the hatch style. Is there any way to do that?

[mwaskom]

You can modify those artists too, i think it's something like ax.get_legend().legend_handles

[eeeXun]

from matplotlib import pyplot as plt
import seaborn as sns; sns.set()

# Load dataset
tips = sns.load_dataset('tips')

# Define some hatches
hatches = ['///', 'x']

# Boxplot
ax = sns.boxplot(x="day", y="total_bill", hue="sex", data=tips)
ax.legend()
for i in range(2):
    for box in ax.containers[i].boxes:
        box.set_hatch(hatches[i % len(hatches)])
    ax.get_legend().legend_handles[i].set_hatch(hatches[i % len(hatches)])

plt.show()

Thank you again for your help!