72286/how-to-check-if-any-value-is-nan-in-a-pandas-dataframe
Hello @kartik,
If you need to know how many rows there are with "one or more NaNs":
df.isnull().T.any().T.sum()
Or if you need to pull out these rows and examine them:
nan_rows = df[df.isnull().T.any().T]
Hope this helps!
Thank You!!
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