count nan pandas
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().sum()
count nan pandas
#Python, pandas
#Count missing values for each column of the dataframe df
df.isnull().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
number of columns with no missing values
null_cols = df.columns[df.isnull().all()]
df.drop(null_cols, axis = 1, inplace = True)
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