pandas.Series.mean

Return the mean of the values for the requested axis.

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. **kwargs Additional keyword arguments to be passed to the function.

return

scalar or Series (if level specified)

Limitations

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

Examples

Return the mean of the values.
import numpy as np
import pandas as pd
from numba import njit


@njit
def series_mean():
    series = pd.Series([3.2, -10, np.nan, 0.23, 9.2])

    return series.mean()  # Expect value: 0.6575


print(series_mean())

$ python ./series/series_mean.py
0.6575