Python Pandas使用count，drop_duplicates来获取复制前删除的列数的差值

import pandas as pd

# 创建一个DataFrame
data = {'A': [1, 2, 3, 4, 5],
        'B': [1, 2, 3, 4, 5],
        'C': [1, 2, 3, 4, 5],
        'D': [1, 2, 3, 4, 5]}
df = pd.DataFrame(data)

# 统计每列非缺失值的数量
count_before = df.count()

# 删除重复的行
df.drop_duplicates(inplace=True)

# 统计删除重复行后每列非缺失值的数量
count_after = df.count()

# 计算删除的列数差值
column_diff = count_before - count_after

# 输出删除的列数差值
print(column_diff)

A    0
B    0
C    0
D    0
dtype: int64