Pandas DataFrame 的 100% 面积图
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原文地址: http://stackoverflow.com/questions/29940382/
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100% area plot of a pandas DataFrame
提问by Dror
In pandas' documentationyou can find a discussion on area plots, and in particular stacking them. Is there an easy and straightforward way to get a 100% area stack plot like this one
在pandas 的文档中，您可以找到关于area plots的讨论，特别是堆叠它们。有没有一种简单直接的方法来获得像这样的 100% 面积叠加图
from this post?
从这个帖子？
回答by unutbu
The method is basically the same as in the other SO answer; divide each row by the sum of the row:
该方法与其他SO答案中的方法基本相同；将每一行除以该行的总和：
df = df.divide(df.sum(axis=1), axis=0)
Then you can call df.plot(kind='area', stacked=True, ...)as usual.
然后你就可以df.plot(kind='area', stacked=True, ...)像往常一样打电话了。
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
np.random.seed(2015)
y = np.random.randint(5, 50, (10,3))
x = np.arange(10)
df = pd.DataFrame(y, index=x)
df = df.divide(df.sum(axis=1), axis=0)
ax = df.plot(kind='area', stacked=True, title='100 % stacked area chart')
ax.set_ylabel('Percent (%)')
ax.margins(0, 0) # Set margins to avoid "whitespace"
plt.show()
yields
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