神奇的函数-- python
Python 书籍:
- 仅供学习使用,勿商用!豆瓣9.0:Efficient python
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lambda:https://blog.csdn.net/qq_33521184/article/details/89347794
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[if 条件]( https://www.w3school.com.cn/python/python_conditions.asp#:~:text=Python 条件和 If 语句. Python 支持来自数学的常用逻辑条件:. 等于: a ,%3E%20b.%20%E5%A4%A7%E4%BA%8E%E7%AD%89%E4%BA%8E%EF%BC%9A%20a%20%3E%3D%20b.%20%E8%BF%99%E4%BA%9B%E6%9D%A1%E4%BB%B6%E8%83%BD%E5%A4%9F%E4%BB%A5%E5%A4%9A%E7%A7%8D%E6%96%B9%E5%BC%8F%E4%BD%BF%E7%94%A8%EF%BC%8C%E6%9C%80%E5%B8%B8%E8%A7%81%E7%9A%84%E6%98%AF%E2%80%9Cif%20%E8%AF%AD%E5%8F%A5%E2%80%9D%E5%92%8C%E5%BE%AA%E7%8E%AF%E3%80%82.)
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pandas(Dataframe)里使用lambda匿名函数if..else表达式: https://www.jianshu.com/p/16762a3651b7
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缺失值转换成Nan:https://blog.csdn.net/qq_44321147/article/details/112438419
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TypeError: '<' not supported between instances of 'float' and 'datetime.date': 包含多种数据类型; -
index索引设置:https://blog.csdn.net/OldDirverHelpMe/article/details/104001138
- DataScience
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