刪除pandas數據框中具有混合數據類型的所有行，這些數據類型包含多列中的特定字符串

Question

如果某行的任何列中包含“ 9999-未知”，如何刪除數據框中的所有行？

我已經能夠找到解決方案，這些解決方案可以基於整個數據框中的值格式（字符串，數字等）刪除行，或者基於特定列中的值刪除行，或者從具有幾列的數據框中刪除行使用他們的名字。

這是我找到的最接近的東西，但該解決方案對我而言不起作用，因為由於數量龐大（超過76列），我無法輸入所有列名。

以下是樣本數據集

pd.DataFrame.from_items([('RespondentId', ['1ghi3g','335hduu','4vlsiu4','5nnvkkt','634deds','7kjng']), ('Satisfaction - Timing', ['9-Excellent','9-Excellent','9999-Don\'t Know','8-Very Good','1-Very Unsatisfied','9999-Don\'t Know']),('Response Speed - Time',['9999-Don\'t Know','9999-Don\'t Know','9-Excellent','9-Excellent','9-Excellent','9-Excellent'])])

刪除包含“ 9999-未知”的4行之后，輸出應如下所示，這樣我就可以使用清理后的數據編寫一個新的Excel文件。

pd.DataFrame.from_items([('RespondentId', ['5nnvkkt','634deds']), ('Satisfaction - Timing', ['8-Very Good','1-Very Unsatisfied']),('Response Speed - Time',['9-Excellent','9-Excellent'])]) 

Answer 1

采用

In [677]: df[~(df == "9999-Don't Know").any(axis=1)]
Out[677]:
  RespondentId Satisfaction - Timing Response Speed - Time
3      5nnvkkt           8-Very Good           9-Excellent
4      634deds    1-Very Unsatisfied           9-Excellent

要么

In [683]: df[(df != "9999-Don't Know").all(axis=1)]
Out[683]:
  RespondentId Satisfaction - Timing Response Speed - Time
3      5nnvkkt           8-Very Good           9-Excellent
4      634deds    1-Very Unsatisfied           9-Excellent

如同

In [686]: df[~df.eq("9999-Don't Know").any(axis=1)]
Out[686]:
  RespondentId Satisfaction - Timing Response Speed - Time
3      5nnvkkt           8-Very Good           9-Excellent
4      634deds    1-Very Unsatisfied           9-Excellent

要么

In [687]: df[df.ne("9999-Don't Know").all(axis=1)]
Out[687]:
  RespondentId Satisfaction - Timing Response Speed - Time
3      5nnvkkt           8-Very Good           9-Excellent
4      634deds    1-Very Unsatisfied           9-Excellent

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對於混合列類型，請參見@PiR的注釋df.astype(object)

In [695]: df[df.astype(object).ne("9999-Don't Know").all(axis=1)]
Out[695]:
  RespondentId Satisfaction - Timing Response Speed - Time
3      5nnvkkt           8-Very Good           9-Excellent
4      634deds    1-Very Unsatisfied           9-Excellent