我有以下数据集:
df_plots = pd.DataFrame({'Group':['A','A','A','A','B','B','B','B','C','C','C','C','D','D','D','D'],\
'Value':[1,1.2,1.4,1.3,16,18,16,19,43,47,42,55,0.2,0.4,0.3,0.6],
'Hit':[1,1,1,1,2,2,2,2,2,3,4,4,5,5,1,0]})
我想按每个显示箱线图Group
,并显示每个图的每个组的名称。首先,我试过这个并且工作正常:
fig, axs = plt.subplots(2,2,figsize=(8,6), sharey=False)
axs = axs.flatten()
for i, g in enumerate(df_plots[['Group','Value']].groupby('Group')):
g[1].boxplot(ax=axs[i])
但是当试图显示每个箱线图的组名时,我被卡住了,不知道如何继续。这是我迄今为止尝试过的:
fig, axs = plt.subplots(2,2,figsize=(8,6), sharey=False)
axs = axs.flatten()
for i, g in enumerate(df_plots[['Group','Value']].groupby('Group')):
g[1].boxplot(ax=axs[i])
axs.flat[i].set_title('What goes here?')
请,任何帮助将不胜感激。
鉴于您的代码片段,这就是我要做的:
fig, axs = plt.subplots(2,2,figsize=(8,6), sharey=False)
axs = axs.flatten()
for i, g in enumerate(df_plots[['Group','Value']].groupby('Group')):
g[1].boxplot(ax=axs[i])
# g is a Tuple[<Group Name:str>, <Group Data:pd.DataFrame>]
axs.flat[i].set_title(g[0])
# Adjust padding to better accommodate box plot titles
plt.tight_layout()
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我来说两句