2022年5月6日
pandas:数据迭代、函数应用
摘要： 1、数据迭代 1.1 迭代行 (1)df.iterrows() for index, row in df[0:5].iterrows(): #需要两个变量承接数据 print(row) print("\n") for index, row in df[0:5].iterrows(): print(r 阅读全文
posted @ 2022-05-06 19:02 朝南烟 阅读(211) 评论(0) 推荐(0) 编辑
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