NAN values count python
# (1) Count NaN values under a single DataFrame column:
df['column name'].isna().sum()
#(2) Count NaN values under an entire DataFrame:
df.isna().sum().sum()
#(3) Count NaN values across a single DataFrame row:
df.loc[[index value]].isna().sum().sum()how to check if a value is nan in python
# If you are doing any conditional operation and you want to check a if
# a single value is Null or not then you can use numpy's isna method.
np.isna(df[col][0])Copyright © 2021 Codeinu
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