dask.dataframe.DataFrame.median

dask.dataframe.DataFrame.median¶

DataFrame.median(axis=None, method='default')¶

Return the median of the values over the requested axis.

This docstring was copied from pandas.core.frame.DataFrame.median.

Some inconsistencies with the Dask version may exist.

Parameters

axis{index (0), columns (1)}

Axis for the function to be applied on. For Series this parameter is unused and defaults to 0.

For DataFrames, specifying axis=None will apply the aggregation across both axes.

New in version 2.0.0.

skipnabool, default True (Not supported in Dask)

Exclude NA/null values when computing the result.

numeric_onlybool, default False (Not supported in Dask)

Include only float, int, boolean columns. Not implemented for Series.

**kwargs

Additional keyword arguments to be passed to the function.

Returns

Series or scalar

Examples

>>> s = pd.Series([1, 2, 3])  
>>> s.median()  
2.0

With a DataFrame

>>> df = pd.DataFrame({'a': [1, 2], 'b': [2, 3]}, index=['tiger', 'zebra'])  
>>> df  
       a   b
tiger  1   2
zebra  2   3
>>> df.median()  
a   1.5
b   2.5
dtype: float64

Using axis=1

>>> df.median(axis=1)  
tiger   1.5
zebra   2.5
dtype: float64

In this case, numeric_only should be set to True to avoid getting an error.

>>> df = pd.DataFrame({'a': [1, 2], 'b': ['T', 'Z']},  
...                   index=['tiger', 'zebra'])
>>> df.median(numeric_only=True)  
a   1.5
dtype: float64

dask.dataframe.DataFrame.mean

dask.dataframe.DataFrame.median_approximate