[英]How to plot columns on x axis and use index as y axis using pandas?
I have a data frame with 60 columns. 我有一个60列的数据框。 I want the columns to be plotted on the X axis, and the index to be plotted on the y-axis.
我希望将列绘制在X轴上,将索引绘制在y轴上。
df.plot()
The above code puts the index on the x-axis by default. 上面的代码默认情况下将索引放在x轴上。 I am unable to work out how to switch the axes.
我无法解决如何切换轴的问题。 Any help appreciated.
任何帮助表示赞赏。
Maybe you can plot the DataFrame transposed. 也许您可以绘制转置的DataFrame。
Creating a DataFrame with 10 columns and 5 rows. 创建一个具有10列5行的DataFrame。
In [1]: import pandas as pd In [2]: import numpy as np In [3]: df = pd.DataFrame(np.random.rand(5,10)) In [4]: df Out[4]: 0 1 2 3 4 5 6 \ 0 0.221466 0.375541 0.318416 0.695447 0.117332 0.836268 0.326673 1 0.439128 0.546087 0.380608 0.599192 0.553365 0.739253 0.984701 2 0.189311 0.799067 0.322041 0.171035 0.595848 0.106069 0.940712 3 0.971887 0.416420 0.945873 0.828611 0.055950 0.690107 0.526104 4 0.643041 0.800376 0.010879 0.677169 0.268208 0.151503 0.062268 7 8 9 0 0.690805 0.741308 0.487934 1 0.827711 0.284417 0.878259 2 0.734911 0.597626 0.256107 3 0.583156 0.398342 0.406590 4 0.247892 0.990469 0.611637 In [8]: df.plot()
In [9]: df.T.plot()
The following are the contents of the DataFrame transposed. 以下是转置的DataFrame的内容。
In [10]: df.T Out[10]: 0 1 2 3 4 0 0.221466 0.439128 0.189311 0.971887 0.643041 1 0.375541 0.546087 0.799067 0.416420 0.800376 2 0.318416 0.380608 0.322041 0.945873 0.010879 3 0.695447 0.599192 0.171035 0.828611 0.677169 4 0.117332 0.553365 0.595848 0.055950 0.268208 5 0.836268 0.739253 0.106069 0.690107 0.151503 6 0.326673 0.984701 0.940712 0.526104 0.062268 7 0.690805 0.827711 0.734911 0.583156 0.247892 8 0.741308 0.284417 0.597626 0.398342 0.990469 9 0.487934 0.878259 0.256107 0.406590 0.611637
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.