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: int64how to get the amount of nan values in a data fram
#where A is the name of the column
#where df is the name of the dataframe
count = df["A"].isna().sum()find the number of nan per column pandas
In [1]: s = pd.Series([1,2,3, np.nan, np.nan])
In [4]: s.isna().sum() # or s.isnull().sum() for older pandas versions
Out[4]: 2Copyright © 2021 Codeinu
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