Policz nan pandy
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()
Ahh the negotiatior
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()
np.count_nonzero(df.isnull().values)
np.count_nonzero(df.isnull()) # also works
# will give count of nan values of every column.
df.isna().sum()