Stats

Dask Array implements a subset of the scipy.stats_ package.

Statistical Functions

You can calculate various measures of an array including skewness, kurtosis, and arbitrary moments.

.. code-block:: python

from dask.array import stats rng = da.random.default_rng() x = rng.beta(1, 1, size=(1000,), chunks=10) k, s, m = [stats.kurtosis(x), stats.skew(x), stats.moment(x, 5)] dask.compute(k, s, m) (1.7612340817172787, -0.064073498030693302, -0.00054523780628304799)

Statistical Tests

You can perform basic statistical tests on Dask arrays. Each of these tests return a dask.delayed wrapping one of the scipy namedtuple results.

.. code-block:: python

rng = da.random.default_rng() a = rng.uniform(size=(50,), chunks=(25,)) b = a + rng.uniform(low=-0.15, high=0.15, size=(50,), chunks=(25,)) result = stats.ttest_rel(a, b) result.compute() Ttest_relResult(statistic=-1.5102104380013242, pvalue=0.13741197274874514)

.. _scipy.stats: https://docs.scipy.org/doc/scipy-0.19.0/reference/stats.html