matplotlib 画双轴子图无法显示x轴的解决方法_Python

matplotlib 画双轴子图无法显示x轴的解决方法

2020-07-28 00:05swustxxl Python

这篇文章主要介绍了matplotlib 画双轴子图无法显示x轴的解决方法，文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值，需要的朋友们下面随着小编来一起学习学习吧

主要问题

1.介绍

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。比较奇葩的是我家里的电脑，3.7.3 却没这个问题。但我把公司电脑换成 3.7.3 问题依旧，崩溃。

									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')

matplotlib 画双轴子图无法显示x轴的解决方法

2.只画双轴，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 = 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')

matplotlib 画双轴子图无法显示x轴的解决方法

3.只画子图，也能正常显示

									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')