用两个 y 轴绘制数据框 [英] plot dataframe with two y-axes

问题描述

我有以下数据框:

I have the following dataframe:

   land_cover          1         2         3         4         5         6       size
0          20  19.558872  6.856950  3.882243  1.743048  1.361306  1.026382  16.520265
1          30   9.499454  3.513521  1.849498  0.836386  0.659660  0.442690  8.652517 
2          40  10.173790  3.123167  1.677257  0.860317  0.762718  0.560290  11.925280 
3          50  10.098777  1.564575  1.280729  0.894287  0.884028  0.887448  12.647710
4          60   6.166109  1.588687  0.667839  0.230659  0.143044  0.070628  2.160922 
5         110  17.846565  3.884678  2.202129  1.040551  0.843709  0.673298  30.406541 

我想按以下方式绘制数据:
.land_cover是x轴
.第1-6列应该是每个land_cover类别(行)的堆叠条形图
.并且大小"列应该是第二个y轴，并且可以是每行的简单点符号，并且可以是连接点的平滑线

有什么想法吗?

I want to plot the data in the way that:
. land_cover is the x-axis
. cols 1 - 6 should be stacked bar plots per land_cover class (row)
. and the column 'size' should be a second y-axis and could be a simple point symbol for every row and additionally a smooth line connecting the points

Any ideas?

推荐答案

你的代码很好.我只添加了两行

Your code is pretty fine. I only add two more lines

 import matplotlib.pyplot as plt 

 df.plot(x="land_cover", y=[1, 2, 3, 4, 5, 6], stacked=True, kind="bar")
 ax = df['size'].plot(secondary_y=True, color='k', marker='o')
 ax.set_ylabel('size')

 plt.show()

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