如何替换列中的空白？大熊猫

Question

我尝试了什么？

//1    myDataFrame['Gender'] = myDataFrame['Gender'].replace('^\s*$', np.nan)
//2    myDataFrame['Gender'] = myDataFrame['Gender'].replace('', np.nan)
       myDataFrame.to_csv('new_Paymets_Loan.csv')

空白仍然是csv文件。 链接到测试csv：https://docs.google.com/spreadsheets/d/1eeHGsx3s7nZaSVPCFvtl0Wwp4KJGK8hAlH97n_4DPbI/edit?usp=sharing

[！[在此处输入图片描述] [1]] [1]

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Answer 1

您要在文本 csv文件中使用 string NaN。只需将其放入DataFrame中即可：

myDataFrame['Gender'] = myDataFrame['Gender'].str.replace('^\s*$', 'NaN')

Answer 2

您可以使用以下命令删除空格

myDataFrame['Gender'].replace('\s','',inplace=True,regex=True)