pandas 如何过滤系列 [英] Pandas How to filter a Series

问题描述

在执行groupby('name')并在其他列上使用过mean()函数之后，我有了一个类似的系列

I have a Series like this after doing groupby('name') and used mean() function on other column

name
383      3.000000
663      1.000000
726      1.000000
737      9.000000
833      8.166667

谁能告诉我如何过滤出平均值为1.000000的行?谢谢，非常感谢您的帮助.

Could anyone please show me how to filter out the rows with 1.000000 mean values? Thank you and I greatly appreciate your help.

推荐答案

In [5]:

import pandas as pd

test = {
383:    3.000000,
663:    1.000000,
726:    1.000000,
737:    9.000000,
833:    8.166667
}

s = pd.Series(test)
s = s[s != 1]
s
Out[0]:
383    3.000000
737    9.000000
833    8.166667
dtype: float64

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