pandas 使用熊猫数据帧数据python创建堆叠直方图
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原文地址: http://stackoverflow.com/questions/24594511/
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creating stacked histogram with pandas dataframes data python
提问by ccsv
I am trying to create a stacked histogram with data from 2 or more uneven pandas dataframes? So far I can get them to graph on top of each other but not stack.
我正在尝试使用来自 2 个或更多不均匀 Pandas 数据帧的数据创建堆叠直方图？到目前为止，我可以让它们在彼此之上绘制图形，但不能堆叠。
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv('dert.csv', encoding = "ISO-8859-1", index_col=0)
df1['text'] = df['text'].dropna(subset=['five'])
df2['printed'] = df['text2']
ax = df1['text'].hist( bins=100, range=(1,100), stacked=True, color = 'r')
ax = df2['printed'].hist(bins=100, range=(1,100), stacked=True, color = 'g')
plt.setp(ax.get_xticklabels(), rotation=45)
plt.show()
How do I get them to stack?
我如何让它们堆叠？
I found a solution but it does not use pandas dataframes Matplotlib, creating stacked histogram from three unequal length arrays
我找到了一个解决方案，但它不使用Pandas数据帧Matplotlib，从三个不等长的数组创建堆叠直方图
回答by Happy001
The method in that post should work:
该帖子中的方法应该有效：
plt.hist([df1['text'],df2['printed']],
bins=100, range=(1,100), stacked=True, color = ['r','g'])
