這可能嗎？i = 1for var in ['var1', 'var2', 'var3', 'var4']:    eval(var) = i    i + 1不知何故，我想為每個循環創建一個新變量（具有新名稱）。[編輯：] 很多人說，它沒有用，所以下面是我想將它用于的實際代碼：import pandas as pd# Convert categorical variables to dummiesPPE_WAW_DISTRICT = pd.get_dummies(X['PPE_WAW_DISTRICT'], prefix='PPE_WAW_DISTRICT')PPE_TARIFF_TYPE = pd.get_dummies(X['PPE_TARIFF_TYPE'], prefix='PPE_TARIFF_TYPE')PPE_OSD = pd.get_dummies(X['PPE_OSD'], prefix='PPE_OSD')VariantProdEE = pd.get_dummies(X['VariantProdEE'], prefix='VariantProdEE')CUS_OWNER = pd.get_dummies(X['CUS_OWNER'], prefix='CUS_OWNER')CUS_LEGAL_FORM = pd.get_dummies(X['CUS_LEGAL_FORM'], prefix='CUS_LEGAL_FORM')CUS_CITY = pd.get_dummies(X['CUS_CITY'], prefix='CUS_CITY')CUS_DISTRICT = pd.get_dummies(X['CUS_DISTRICT'], prefix='CUS_DISTRICT')X.drop(['PPE_WAW_DISTRICT', 'PPE_TARIFF_TYPE', 'PPE_OSD', 'CUS_OWNER',                'CUS_LEGAL_FORM', 'CUS_CITY', 'CUS_DISTRICT'], axis=1, inplace=True)X = pd.concat([PPE_WAW_DISTRICT, PPE_TARIFF_TYPE, PPE_OSD, VariantProdEE,              CUS_OWNER, CUS_LEGAL_FORM, CUS_CITY, CUS_DISTRICT], axis=1)基本上我想從每個選定的 oclumns 創建虛擬列，然后使用前綴將其添加到主數據框 (X)