如何制作具有多列的多个标签的计数图

Question

给出如下数据

test = pd.DataFrame(np.array([
    ["Yes", "No", "No", "Yes", "Maybe"],
    ["Yes", "Yes", "Yes", "Maybe", "Maybe"],
    ["Maybe", "Yes", "Yes", "No", "No"],
    ["No", "Yes", "Maybe", "No", "No"],
    ["Maybe", "Maybe", "Maybe", "No", "Yes"],
    ])
    ,columns=['a','b','c','d', 'e'])

我想要如下图所示的东西。

因此，第 a 列的条形图包含三个条形，每个条形表示 2 个“是”、1 个“否”、2 个“可能”。剩余的列也是如此。

我尝试制作新数据框 temp = df.apply(pd.Series.value_counts) 并使用 sns.countplot() 但结果只有 5 条而不是 3*5 条。

请帮我制作具有多列多标签的条形图。

感谢阅读。

Answer 1

使用melt:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

data = {'a': ['Yes', 'Yes', 'Maybe', 'No', 'Maybe'],
        'b': ['No', 'Yes', 'Yes', 'Yes', 'Maybe'],
        'c': ['No', 'Yes', 'Yes', 'Maybe', 'Maybe'],
        'd': ['Yes', 'Maybe', 'No', 'No', 'No'],
        'e': ['Maybe', 'Maybe', 'No', 'No', 'Yes']}

df = pd.DataFrame(data)
df1 = df.melt(var_name='Additional service', value_name='Has service')

sns.countplot(x='Additional service', hue='Has service', data=df1)
plt.show()

如何制作具有多列的多个标签的计数图

How can I make countplot of multiple label with multiple column

data-visualization

matplotlib

pandas

seaborn