计算pandas df中的非空值

Question

我有一个包含约70列的数据集，如下所示：

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我想创建一个附加列（meeting_count），该列具有相应ID_number的Meeting1-Meeting5列的非空值计数。

通常我会使用SQL并执行以下操作：

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但如果在Python中有一种比较容易的方法，我宁愿这样做。

Answer 1

试试这个

df['meeting_count'] = df.filter(regex=r'^Meeting').notnull().sum(axis=1)

演示：

In [8]: df
Out[8]:
           ID_number    Meeting1   Meeting2  Meeting3  Meeting4 Meeting5 Comments
123456789  9/15/2015    1/8/2016  4/27/2016       NaN       NaN     text     text
987654321  9/22/2016         NaN  2/25/2017       NaN       NaN     text     text
456789123  10/1/2015  11/30/2015        NaN       NaN       NaN     text     text

In [9]: df['meeting_count'] = df.filter(regex=r'^Meeting').notnull().sum(axis=1)

In [10]: df
Out[10]:
           ID_number    Meeting1   Meeting2  Meeting3  Meeting4 Meeting5 Comments  meeting_count
123456789  9/15/2015    1/8/2016  4/27/2016       NaN       NaN     text     text              3
987654321  9/22/2016         NaN  2/25/2017       NaN       NaN     text     text              2
456789123  10/1/2015  11/30/2015        NaN       NaN       NaN     text     text              2