pandas.Series.sum¶

Return the sum of the values for the requested axis.

This is equivalent to the method numpy.sum.

param axis

{index (0)}: Axis for the function to be applied on.

param skipna

bool, default True: Exclude NA/null values when computing the result.

param level

int or level name, default None: If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.

param numeric_only

bool, default None: Include only float, int, boolean columns. If None, will attempt to use everything, then use only numeric data. Not implemented for Series.

param min_count

int, default 0

The required number of valid values to perform the operation. If fewer than min_count non-NA values are present the result will be NA.

New in version 0.22.0.

Added with the default being 0. This means the sum of an all-NA or empty Series is 0, and the product of an all-NA or empty Series is 1. **kwargs Additional keyword arguments to be passed to the function.

return

scalar or Series (if level specified)

Limitations¶

Parameters axis, level, numeric_only and min_count are currently unsupported by Intel Scalable Dataframe Compiler

Examples¶

Return the sum of the values for the requested axis.¶

import pandas as pd
from numba import njit

@njit
def series_sum():
    series = pd.Series([5, 4, 3, 2, 1])

    return series.sum()  # Expect value: 15

print(series_sum())

$ python ./series/series_sum.py
15.0

Navigation

pandas.Series.sum¶

Limitations¶

Examples¶