Answers for "getting the indixes of where are nan columns in a numpy array"

1

find position of nan pandas

# position of NaN values in terms of index
df.loc[pandas.isna(df["b"]), :].index

# position of NaN values in terms of rows that cotnain NaN
df.loc[pandas.isna(df["b"]), :]
Posted by: Guest on October-06-2020
1

np where nan

np.argwhere(np.isnan(x))
Posted by: Guest on April-20-2020

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