带有Seaborn/Matplotlib的组条形图

问题描述

我的目标是使用由两个变量"Alpha"和"Beta"分组的pandas DataFrame来创建如下所示的分组条形图.

My goal is to create a grouped bar chart like the one below, using a pandas DataFrame that is grouped by two variables "Alpha" and "Beta."

xl2 = xl.groupby(['Alpha','Beta']).median()

当我尝试此操作时，在'Alpha'上抛出了KeyError

When I tried this, a KeyError was thrown on 'Alpha'

import seaborn as sns
sns.barplot(x=['Alpha', 'Beta'], y=xl2['Gamma'])

我的希望是传递一个x值列表以在("Alpha"和"Beta")上建立索引，并绘制相关的"Gamma". seaborn.barplot函数不提供任何组条形图示例.

My hope was to pass in a list of x values to index on ('Alpha' and 'Beta'), and graph the associated 'Gamma." The documentation for the seaborn.barplot function doesn't provide any group bar chart examples.

感谢您的帮助！

推荐答案

您可以为此使用ggplot

You can use ggplot for this

from ggplot import *
import pandas as pd
import numpy as np

df = pd.DataFrame({
    "x": np.random.choice(range(2001, 2008), 250),
    "w": np.random.uniform(50, 400, 250),
    "cat": np.random.choice(["A", "B", "C", "D", "E"], 250)
})

print ggplot(df, aes(x='x', weight='w', fill='cat')) + geom_bar() + theme_bw()

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