Python 绘制 Pandas DataSeries.GroupBy
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Plotting a Pandas DataSeries.GroupBy
提问by Nyxynyx
I am new to python and pandas, and have the following DataFrame.
我是 python 和 pandas 的新手，并且有以下DataFrame.
How can I plot the DataFramewhere each ModelIDis a separate plot, saledateis the x-axis and MeanToDateis the y-axis?
如何绘制DataFrame每个ModelID单独的图，saledatex 轴和MeanToDatey 轴？
Attempt
试图
data[40:76].groupby('ModelID').plot()
DataFrame
数据框
采纳答案by joris
You can make the plots by looping over the groups from groupby:
您可以通过循环以下组来绘制图groupby：
import matplotlib.pyplot as plt
for title, group in df.groupby('ModelID'):
group.plot(x='saleDate', y='MeanToDate', title=title)
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
有关使用 Pandas 数据框绘图的更多信息，请参阅：
http: //pandas.pydata.org/pandas-docs/stable/visualization.html
和循环遍历 groupby-object：http:
//pandas.pydata.org/pandas- docs/stable/groupby.html#iterating-through-groups
回答by chbrown
Example with aggregation:
聚合示例：
I wanted to do something like the following, if pandas had a colour aesthetic like ggplot:
如果熊猫有像 ggplot 这样的颜色美感，我想做以下事情：
aggregated = df.groupby(['model', 'training_examples']).aggregate(np.mean)
aggregated.plot(x='training_examples', y='accuracy', label='model')
(columns: model is a string, training_examples is an integer, accuracy is a decimal)
（列：model 是一个字符串，training_examples 是一个整数，accuracy 是一个小数）
But that just produces a mess.
但这只会造成混乱。
Thanks to joris's answer, I ended up with:
多亏了 joris 的回答，我得到了：
for index, group in df.groupby(['model']):
group_agg = group.groupby(['training_examples']).aggregate(np.mean)
group_agg.plot(y='accuracy', label=index)
I found that title=was just replacing the single title of the plot on each loop iteration, but label=does what you'd expect -- afterrunning plt.legend(), of course.
我发现这title=只是在每次循环迭代中替换了绘图的单个标题，但label=确实符合您的期望——当然，在运行之后plt.legend()。
