1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
|
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
|
