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
find nan values in a column pandas
df['your column name'].isnull().values.any()
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]: 2
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