Pandas DataFrame 条形图与其他列的 sort_values
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Pandas DataFrame bar plot with sort_values by other column
提问by running man
I have a Pandas DataFrame. I want to plot two columns' values with bar plot, and the bar plot sorts values by the other column.
我有一个 Pandas DataFrame。我想用条形图绘制两列的值，条形图按另一列对值进行排序。
For example, I want to sort values in descending order by column a_b(sum of column aand b).
In addition, the xlabel is rotated, I want to fix it.
例如，我想按列a_b（列a和 的总和b）按降序对值进行排序。另外，xlabel旋转了，我想修复它。
Your help would be appreciated.
您的帮助将不胜感激。
import pandas as pd
%matplotlib inline
a = pd.Series([4,8,6,7,8,3,9,7])
b = pd.Series([3,6,8,3,4,6,10,4])
a_b = a+b
df = pd.concat([a,b,a_b],axis=1,join='inner')
df.columns = ['a','b','c']
df[['a','b']].sort_values(by='a',ascending=False).plot(kind='bar',stacked=True)
采纳答案by piRSquared
Sort dataframe first by cthen plot with.
先对数据框进行排序，c然后再绘制。
df.sort_values('c', ascending=False)[['a','b']].plot.bar(stacked=True)
回答by qmaruf
Fix the rotation problem using rot=0in @piRSquared answer.
使用rot=0@piRSquared 答案修复旋转问题。
df.sort_values('c', ascending=False)[['a','b']].plot.bar(stacked=True, rot=0)
