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定义DataFrame nan

时间: 2023-08-17 16:16:00 浏览: 121

DataFrame nan是指DataFrame中的缺失值，即空值。在pandas中，缺失值通常用NaN表示。在DataFrame中，可以使用fillna函数来填充缺失值，使用dropna函数来删除包含缺失值的行或列。\[1\]\[2\]\[3\] #### 引用[.reference_title] - *1* [Pandas常见方法（5）-DataFrame逐列填补Nan值](https://blog.csdn.net/dylan_young/article/details/122447634)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item] - *2* *3* [Pandas数据处理1、DataFrame删除NaN空值(dropna各种属性值控制超全)](https://blog.csdn.net/feng8403000/article/details/129008345)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item] [ .reference_list ]

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