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: int64
pandas count number missing values
dfObj.isnull().sum()
how to check missing values in python
# Total missing values for each featureprint df.isnull().sum()Out:ST_NUM 2ST_NAME 0OWN_OCCUPIED 2NUM_BEDROOMS 4
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