对数据帧中的后果性重复元素进行计数并将其存储在新的列中

import pandas as pd

# 假设数据帧名为df，包含需要处理的数据
df = pd.DataFrame(...)

df['重复元素计数'] = 0

duplicates = df[df.duplicated()]
counts = duplicates['列名'].value_counts()

for index, count in counts.items():
    df.loc[df['列名'] == index, '重复元素计数'] = count

import pandas as pd

# 假设数据帧名为df，包含需要处理的数据
df = pd.DataFrame(...)

# 创建一个新的列来存储重复元素的计数
df['重复元素计数'] = 0

# 找到重复的元素，并计算每个重复元素的数量
duplicates = df[df.duplicated()]
counts = duplicates['列名'].value_counts()

# 将计数结果存储在新的列中
for index, count in counts.items():
    df.loc[df['列名'] == index, '重复元素计数'] = count