並排繪制條形圖

Question

我可以並排繪制這兩個側面條形圖嗎

import pandas as pd

a=[('Female','0'),
('Female','0'),
('Female','0'),
('Female','1'),
('Female','1'),
('Female','1'),
('Female','1'),
('Female','1'),
('Female','1'),
('Female','1'),
('Female','1'),
('Female','1'),
('Male','0'),
('Male','0'),
('Male','0'),
('Male','0'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1'),
('Male','1')]

df=pd.DataFrame(a,columns=['Gender','Placement_B'])

gender=pd.crosstab(df['Gender'], df['Placement_B'])

g_norm=pd.crosstab(df['Gender'], df['Placement_B'],margins=True, normalize='index')

gender.plot.bar(stacked=True)

g_norm.plot.bar(stacked=True)

Answer 1

此問題未指定您使用的軟件包。 如果使用DataMelt程序 ，則可以使用HPlot畫布並排繪制條形圖或直方圖，並導航usibf cd（）方法。 這是幾個DataMelt示例，它們並排顯示直方圖 。 如果您不喜歡直方圖表示，請使用HChart類， 如下所示

Answer 2

我知道您在繪制交叉表數據時遇到問題。 這是一種繪制方法。

import matplotlib.pyplot as plt

df=pd.DataFrame(a,columns=['Gender','Placement_B'])
gender=pd.crosstab(df['Gender'], df['Placement_B'])
g_norm=pd.crosstab(df['Gender'], df['Placement_B'],margins=True, normalize='index')

fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.bar(gender.index.values, gender.iloc[:, 1])
ax1.bar(gender.index.values, gender.iloc[:, 0])
ax2.bar(g_norm.index.values, g_norm.iloc[:, 1])
ax2.bar(g_norm.index.values, g_norm.iloc[:, 0])

# Probably the way that is more relevant for this case

fig, (ax1, ax2) = plt.subplots(1, 2)
gender.iloc[:].plot.bar(stacked=True, ax=ax1)
g_norm.iloc[:].plot.bar(stacked=True, ax=ax2)