Pandas Count Nan dans chaque rangée
df.isna().sum(axis=1)
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df.isna().sum(axis=1) np.count_nonzero(df.isnull().values)
np.count_nonzero(df.isnull()) # also works
import pandas as pd
## df1 as an example data frame
## col1 name of column for which you want to calculate the nan values
sum(pd.isnull(df1['col1']))df.groupby(['No', 'Name'], dropna=False, as_index=False).size()