python 双轴子图 x轴 坐标轴标签不能显示

Question

如题，画双轴子图不能显示 x-轴坐标轴标签，似乎 “双轴”与“子图”存在冲突有关，当前版本是 anaconda 3.7.4。

• 问题展示

import pandas as pd
import matplotlib.pyplot as plt

a = pd.date_range('2020-07-01','2020-07-20')
b = [2,3,4,5,7,9,20,20,11,13,1,2,3,9,23,2,6,7,7,7]
c = [0.20,0.1,0.13,0.1,0.2,0.3,0.9,0.23,0.2,0.6,0.7,0.7,0.7,0.2,0.3,0.4,0.5,0.7,0.9,0.2]

data = pd.DataFrame({'a':a,'b':b,'c':c})

data = data.groupby(['a'])['b','c'].sum()

nrow = 2
ncol = 1

fig = plt.figure(figsize=(ncol*10,nrow*4))

ax_1 = plt.subplot2grid((nrow, ncol), (0, 0), colspan=1, rowspan=1,facecolor = 'black')
ax_2 = plt.subplot2grid((nrow, ncol), (1, 0), colspan=1, rowspan=1,facecolor = 'black')

data['b'].plot(ax = ax_1,color = 'r')
data['c'].plot(ax = ax_1.twinx(),color = 'y')

• 只画双轴，正常显示坐标

import pandas as pd
import matplotlib.pyplot as plt

a = pd.date_range('2020-07-01','2020-07-20')
b = [2,3,4,5,7,9,20,20,11,13,1,2,3,9,23,2,6,7,7,7]
c = [0.20,0.1,0.13,0.1,0.2,0.3,0.9,0.23,0.2,0.6,0.7,0.7,0.7,0.2,0.3,0.4,0.5,0.7,0.9,0.2]

data = pd.DataFrame({'a':a,'b':b,'c':c})

data = data.groupby(['a'])['b','c'].sum()

nrow = 1
ncol = 1

fig = plt.figure(figsize=(ncol*10,nrow*4))

ax_1 = plt.subplot2grid((nrow, ncol), (0, 0), colspan=1, rowspan=1,facecolor = 'black')
# ax_2 = plt.subplot2grid((nrow, ncol), (1, 0), colspan=1, rowspan=1,facecolor = 'black')

data['b'].plot(ax = ax_1,color = 'r')
data['c'].plot(ax = ax_1.twinx(),color = 'y')

• 只画子图，正常显示

import pandas as pd
import matplotlib.pyplot as plt

a = pd.date_range('2020-07-01','2020-07-20')
b = [2,3,4,5,7,9,20,20,11,13,1,2,3,9,23,2,6,7,7,7]
c = [0.20,0.1,0.13,0.1,0.2,0.3,0.9,0.23,0.2,0.6,0.7,0.7,0.7,0.2,0.3,0.4,0.5,0.7,0.9,0.2]

data = pd.DataFrame({'a':a,'b':b,'c':c})

data = data.groupby(['a'])['b','c'].sum()

nrow = 2
ncol = 1

fig = plt.figure(figsize=(ncol*10,nrow*4))

ax_1 = plt.subplot2grid((nrow, ncol), (0, 0), colspan=1, rowspan=1,facecolor = 'black')
ax_2 = plt.subplot2grid((nrow, ncol), (1, 0), colspan=1, rowspan=1,facecolor = 'black')

data['b'].plot(ax = ax_1,color = 'r')
data['c'].plot(ax = ax_2,color = 'y')

Answer 1

https://blog.csdn.net/swustxxl/article/details/107594143