pandas.Series.median¶
Return the median 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
andnumeric_only
are supported only with default valueNone
.
Examples¶
import pandas as pd
from numba import njit
@njit
def series_median():
series = pd.Series([1, 2, 3, 4])
return series.median() # Expect value: 2.5
print(series_median())
$ python ./series/series_median.py
2.5
See also
- DataFrame.median
Return the median of the values for the columns.