xorbits.pandas.Series.median#

Series.median(axis=None, skipna=True, out=None, overwrite_input=False, keepdims=False)[source]#

Return the median of the values over the requested axis.

Parameters

  • axis ({index (0)}) – Axis for the function to be applied on. For Series this parameter is unused and defaults to 0.

  • skipna (bool, default True) – Exclude NA/null values when computing the result.

  • level (int or level name, default None (Not supported yet)) –

    If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a scalar.

    Deprecated since version 1.3.0: The level keyword is deprecated. Use groupby instead.

  • numeric_only (bool, default None (Not supported yet)) –

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

    Deprecated since version 1.5.0: Specifying numeric_only=None is deprecated. The default value will be False in a future version of pandas.

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

Returns

  • scalar or Series (if level specified)

  • Extra Parameters

  • —————-

  • out (Tensor, default None) – Output tensor in which to place the result. It must have the same shape and buffer length as the expected output, but the type (of the output) will be cast if necessary.

  • overwrite_input (bool, default False) – Just for compatibility with Numpy, would not take effect.

  • keepdims (bool, default False) – If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the original arr.

This docstring was copied from pandas.core.series.Series.