count missing values by column in pandas
df.isna().sum()df count missing values
In [5]: df = pd.DataFrame({'a':[1,2,np.nan], 'b':[np.nan,1,np.nan]})
In [6]: df.isna().sum()
Out[6]:
a 1
b 2
dtype: int64number of columns with no missing values
null_cols = df.columns[df.isnull().all()]
df.drop(null_cols, axis = 1, inplace = True)pandas count number missing values
dfObj.isnull().sum()pandas count number missing values
dfObj.isnull().sum().sum()getting the number of missing values in pandas
cols_to_delete = df.columns[df.isnull().sum()/len(df) > .90]
df.drop(cols_to_delete, axis = 1, inplace = True)Copyright © 2021 Codeinu
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