将两个pandas数据框并排绘制,每个都以子图样式绘制

Question

我想并排绘制两个pandas数据帧,每个绘图应该是子图形式.我使用以下行:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# create dummy pandas dataframes
pd1 = pd.DataFrame({'a':np.random.random(22),'b':np.random.random(22),'c':np.random.random(22)})
pd2 = pd.DataFrame({'J':np.random.random(22),'K':np.random.random(22),'P':np.random.random(22)})
#create subplot figure with having two side by side plots
fig, axes = plt.subplots(nrows=1,ncols=2,figsize=(12,6))
# plot first pandas frame in subplot style
pd1.plot(ax = axes[0],subplots=True) 
# plot second pandas frame in subplot style
pd2.plot(ax = axes[1],subplots=True)

没有subplot选项,绘制了并排图,但我想要在subplot样式.有没有其他选择来完成它？

确切地说,我想以下列方式绘制大熊猫:

Answer 1

您需要一个包含3行和2列的子绘图网格来托管您的绘图.然后,ax参数需要采用您想要绘制3个数据帧列的3个轴.

fig, axes = plt.subplots(nrows=3,ncols=2)
pd1.plot(ax = axes[:,0], subplots=True) 
pd2.plot(ax = axes[:,1], subplots=True)

完整代码:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# create dummy pandas dataframes
pd1 = pd.DataFrame({'a':np.random.random(22),'b':np.random.random(22),
                    'c':np.random.random(22)})
pd2 = pd.DataFrame({'J':np.random.random(22),'K':np.random.random(22),
                    'P':np.random.random(22)})
#create subplot figure with having two side by side plots
fig, axes = plt.subplots(nrows=3,ncols=2,figsize=(12,6))
# plot first pandas frame in subplot style
pd1.plot(ax = axes[:,0],subplots=True) 
# plot second pandas frame in subplot style
pd2.plot(ax = axes[:,1],subplots=True)

plt.show()