pandas 中带有数据点的线图 [英] Line plot with data points in pandas

问题描述

使用pandas我可以轻松地绘制线条图:

Using pandas I can easily make a line plot:

import pandas as pd
import numpy as np
%matplotlib inline # to use it in jupyter notebooks

df = pd.DataFrame(np.random.randn(50, 4), 
        index=pd.date_range('1/1/2000', periods=50), columns=list('ABCD'))
df = df.cumsum()
df.plot();

但是我无法弄清楚如何将数据绘制为直线上的点，如本例所示:

But I can't figure out how to also plot the data as points over the lines, as in this example:

这个matplotlib示例似乎可以提供建议，但我找不到方法使用熊猫绘图功能来做到这一点.而且我对学习如何使用熊猫特别感兴趣，因为我一直在使用数据框.

This matplotlib example seems to suggest the direction, but I can't find how to do it using pandas plotting capabilities. And I am specially interested in learning how to do it with pandas because I am always working with dataframes.

有任何线索吗?

推荐答案

您可以对文档:

style:列表或字典

style : list or dict

matplotlib线条样式

matplotlib line style per column

因此，您可以为所有行设置一种线型，或者为每行设置不同的线型.

So, you could either just set one linestyle for all the lines, or a different one for each line.

例如这样做与您要求的类似:

e.g. this does something similar to what you asked for:

df.plot(style='.-')

要为每行定义不同的标记和线型，可以使用列表:

To define a different marker and linestyle for each line, you can use a list:

df.plot(style=['+-','o-','.--','s:'])

您还可以将 markevery 传递给matplotlib的plot命令，仅以给定间隔绘制标记

You can also pass the markevery kwarg onto matplotlib's plot command, to only draw markers at a given interval

df.plot(style='.-', markevery=5)

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