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()
find nan values in a column pandas
df.isnull().values.any()
python count null values in dataframe
# Count total missing values in a dataframe
df.isnull().sum().sum()
# Gives a integer value
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
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