如何使用点绘制 pandas 数据框的两列 [英] How to plot two columns of a pandas data frame using points

问题描述

我有一个 Pandas 数据框，想绘制一列中的值与另一列中的值.幸运的是，有一个与数据框相关的 plot 方法似乎可以满足我的需要:

I have a pandas dataframe and would like to plot values from one column versus the values from another column. Fortunately, there is plot method associated with the data-frames that seems to do what I need:

df.plot(x='col_name_1', y='col_name_2')

不幸的是，它看起来像在情节样式​​中(列出 此处 没有点.我可以使用线条或条形甚至密度，但不能使用点.是否有解决方法可以帮助解决此问题.

Unfortunately, it looks like among the plot styles (listed here after the kind parameter) there are not points. I can use lines or bars or even density but not points. Is there a work around that can help to solve this problem.

推荐答案

调用 df.plot:

You can specify the style of the plotted line when calling df.plot:

df.plot(x='col_name_1', y='col_name_2', style='o')

style 参数也可以是 dict 或 list，例如:

The style argument can also be a dict or list, e.g.:

import numpy as np
import pandas as pd

d = {'one' : np.random.rand(10),
     'two' : np.random.rand(10)}

df = pd.DataFrame(d)

df.plot(style=['o','rx'])

matplotlib 的文档中列出了所有接受的样式格式.pyplot.plot.

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