Given this dataframe called df:     A   B     C    D 0  a1  NaN   c1   d1 1...

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    A   B     C    D
0  a1  NaN   c1   d1
1  a2  b2    NaN  d2
2  a3  b3    NaN  d3
3  a4  b4    c4   NaN
df.isna().sum(axis=0) will show the number of NaN's in each:

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