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This is a somewhat specialized problem that forms part of a lot of data science and clustering workflows. It starts with a relatively straightforward question: if we have a bunch of measurements for two different things, how do we come up with a single number that represents the difference between the two things? An example […] pandas isnull函数检查数据是否有缺失 pandas isnull sum with column headers
for col in main_df: print(sum(pd.isnull(data[col]))) I get a list of the null count for each column: 0 1 100 What I’m trying to do is create a new dataframe which has the column header alongside the null count, e.g. col1 | 0 col2 | 1 col3 […] |
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