从Dataframe中提取一列，并根据它对所有其他列进行标准化？

import pandas as pd
from sklearn.preprocessing import StandardScaler

data = pd.read_csv("data.csv")  # 假设数据保存在data.csv文件中
df = pd.DataFrame(data)

target_column = df['target_column_name']  # 将'target_column_name'替换为目标列的名称

scaler = StandardScaler()
normalized_column = scaler.fit_transform(target_column.values.reshape(-1, 1))

df['normalized_column'] = normalized_column

columns_to_normalize = df.columns[df.columns != 'target_column_name']  # 排除目标列
df[columns_to_normalize] = scaler.transform(df[columns_to_normalize])