DataFrame.
sum
Return the sum of the values.
Axis for the function to be applied on.
Include only float, int, boolean columns. False is not supported. This parameter is mainly for pandas compatibility.
min_count non-NA values are present the result will be NA.
min_count
Examples
>>> df = ps.DataFrame({'a': [1, 2, 3, np.nan], 'b': [0.1, np.nan, 0.3, np.nan]}, ... columns=['a', 'b'])
On a DataFrame:
>>> df.sum() a 6.0 b 0.4 dtype: float64
>>> df.sum(axis=1) 0 1.1 1 2.0 2 3.3 3 0.0 dtype: float64
>>> df.sum(min_count=3) a 6.0 b NaN dtype: float64
>>> df.sum(axis=1, min_count=1) 0 1.1 1 2.0 2 3.3 3 NaN dtype: float64
On a Series:
>>> df['a'].sum() 6.0
>>> df['a'].sum(min_count=3) 6.0 >>> df['b'].sum(min_count=3) nan