如何更改 seaborn 对图中 plot 元素的 z 顺序

Question

Here is a snippet, to reproduce my example image:

import pandas as pd
import numpy as np
import seaborn as sns

np.random.seed(42)
df = pd.DataFrame(np.random.rand(10,2), columns=['x', 'y'])
df['label'] = ['cat', 'mouse', 'dog', 'mouse', 'cat', 'cat', 'mouse', 'mouse','dog', 'cat']
sns.pairplot(df, hue='label');

It produces the following seaborn pair plot, with some dummy data:

In the upper right plot, one marker of the 'dog' category is below an overlaying marker of the 'mouse' category.

Can I somehow change the z-order of the scatter plot markers, so that all markers of the 'dog' category are best visible on top?

edit: I already tried hue_order=['mouse', 'cat', 'dog'] and hue_order=['dog', 'mouse', 'cat'] , but they only influence the order in the legend and the color. Not the z-order of the markers in the scatter plot.

Answer 1

• This answer provides a full explanation of my comment from 2022-01-07.
• The dots are drawn in the order they are encountered in the dataframe. You can change that order, eg via pd.concat([df[df['label'],= 'dog'], df[df['label'] == 'dog']]) .
• The order in the dataframe also sets the default order of the labels in the legend. Further note that in future seaborn versions this behavior might change.

import pandas as pd
import numpy as np
import seaborn as sns

np.random.seed(42)
df = pd.DataFrame(np.random.rand(10, 2), columns=['x', 'y'])
df['label'] = ['cat', 'mouse', 'dog', 'mouse', 'cat', 'cat', 'mouse', 'mouse', 'dog', 'cat']
sns.pairplot(pd.concat([df[df['label'] != 'dog'], df[df['label'] == 'dog']]), hue='label')