获取每个类pandas数据帧的百分比

import pandas as pd

# 创建一个示例数据帧
data = {
    'Category': ['A', 'B', 'A', 'C', 'B', 'A', 'C', 'C', 'B', 'A']
}
df = pd.DataFrame(data)

# 计算每个类别的百分比
category_counts = df['Category'].value_counts()
category_percentages = category_counts / category_counts.sum() * 100

print("类别计数:\n", category_counts)
print("类别百分比:\n", category_percentages)

if df.empty:
    print("数据帧为空")
else:
    category_counts = df['Category'].value_counts()
    category_percentages = category_counts / category_counts.sum() * 100
    print("类别百分比:\n", category_percentages)

df['Category'].fillna('Unknown', inplace=True)
category_counts = df['Category'].value_counts()
category_percentages = category_counts / category_counts.sum() * 100
print("类别百分比:\n", category_percentages)