[英]Display displot in separate subplots - Seaborn
我的目标是将 Seaborn 显示插入单独的子图中。 使用下面,我想将Label1
传递给ax1
并将Label2
传递给df2
。 但是,我收到警告: UserWarning: displot is a figure-level function and does not accept the ax= paramter. You may wish to try histplot. warnings.warn(msg, UserWarning)
UserWarning: displot is a figure-level function and does not accept the ax= paramter. You may wish to try histplot. warnings.warn(msg, UserWarning)
有没有解决的办法? 关于hue
参数,我之前遇到过histplot
的问题。 如有必要,我不愿意使用它。
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
fig, (ax1, ax2) = plt.subplots(1,2, figsize = (12,6))
df = pd.DataFrame({
'Num' : [1,2,1,2,3,2,1,3,2,2,1,2,3,3,1,3],
'Label1' : ['A','B','C','B','B','C','C','B','B','A','C','A','B','A','C','A'],
'Label2' : ['D','E','D','F','E','D','F','E','F','D','E','F','E','D','D','F'],
'Item' : ['Up','Left','Up','Left','Down','Right','Up','Down','Right','Down','Right','Up','Up','Right','Down','Left'],
})
ax1 = sns.displot(data = df,
x = 'Label1',
hue = 'Num',
row = 'Item',
row_order = ['Up','Down','Left','Right'],
shrink = 0.9,
discrete = True,
aspect = 4,
height = 2,
ax = ax1
)
ax2 = sns.displot(data = df,
x = 'Label2',
hue = 'Num',
row = 'Item',
row_order = ['Up','Down','Left','Right'],
shrink = 0.9,
discrete = True,
aspect = 4,
height = 2,
ax = ax2
)
如果您想避免histplot()
,我认为您可以使用displot()
获得的最接近的方法是melt()
数据并使用col
将Label1
和Label2
放入两列:
sns.displot(
data = df.melt(['Num', 'Item'], var_name='Group', value_name='Label'),
y = 'Label',
hue = 'Num',
row = 'Item',
col = 'Group',
row_order = ['Up', 'Down', 'Left', 'Right'],
shrink = 0.9,
discrete = True,
aspect = 4,
height = 2,
)
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