matplotlib 畫雙軸子圖無法顯示x軸的解決方法

更新時間：2020年07月27日 16:07:49 作者：swustxxl

這篇文章主要介紹了matplotlib 畫雙軸子圖無法顯示x軸的解決方法，文中通過示例代碼介紹的非常詳細，對大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價值，需要的朋友們下面隨著小編來一起學(xué)習(xí)學(xué)習(xí)吧

主要問題

1.介紹

如題，畫雙軸子圖不能顯示 x-軸坐標(biāo)軸標(biāo)簽，似乎 “雙軸”與“子圖”存在沖突有關(guān)，當(dāng)前版本是 anaconda 3.7.4。比較奇葩的是我家里的電腦，3.7.3 卻沒這個問題。但我把公司電腦換成 3.7.3 問題依舊，崩潰。

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')

2.只畫雙軸，正常顯示

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')

3.只畫子圖，也能正常顯示

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')