绘制 Pandas DataSeries.GroupBy [英] Plotting a Pandas DataSeries.GroupBy

问题描述

我是 python 和 pandas 的新手，有以下 DataFrame.

I am new to python and pandas, and have the following DataFrame.

如何绘制 DataFrame，其中每个 ModelID 是一个单独的图，saledate 是 x 轴，MeanToDate 是 y 轴吗?

How can I plot the DataFrame where each ModelID is a separate plot, saledate is the x-axis and MeanToDate is the y-axis?

尝试

data[40:76].groupby('ModelID').plot()

数据帧

推荐答案

您可以通过遍历 groupby 中的组来绘制图:

You can make the plots by looping over the groups from groupby:

import matplotlib.pyplot as plt

for title, group in df.groupby('ModelID'):
    group.plot(x='saleDate', y='MeanToDate', title=title)

有关使用 Pandas 数据框绘图的更多信息，请参见:
http://pandas.pydata.org/pandas-docs/stable/visualization.html
并循环遍历 groupby 对象:
http://pandas.pydata.org/pandas-docs/stable/groupby.html#iterating-through-groups

See for more information on plotting with pandas dataframes:
http://pandas.pydata.org/pandas-docs/stable/visualization.html
and for looping over a groupby-object:
http://pandas.pydata.org/pandas-docs/stable/groupby.html#iterating-through-groups

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