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| author | Arun Isaac | 2021-11-11 16:10:35 +0530 |
|---|---|---|
| committer | BonfaceKilz | 2021-11-11 20:49:30 +0300 |
| commit | ec1d2180d99e0cde1dc181ee9ed79e86cf1a5675 (patch) | |
| tree | 61162273cc9b0b75577573b8b2082a1660cb39c1 /tests | |
| parent | 4e790f08000825931cb5edec1738d2b7d073f73e (diff) | |
| download | genenetwork3-ec1d2180d99e0cde1dc181ee9ed79e86cf1a5675.tar.gz | |
Reimplement correlations2.compute_correlation using pearsonr.
correlations2.compute_correlation computes the Pearson correlation coefficient. Outsource this computation to scipy.stats.pearsonr. When the inputs are constant, the Pearson correlation coefficient does not exist and is represented by NaN. Update the tests to reflect this. * gn3/computations/correlations2.py: Remove import of sqrt from math. (compute_correlation): Reimplement using scipy.stats.pearsonr. * tests/unit/computations/test_correlation.py: Import math. (TestCorrelation.test_compute_correlation): When inputs are constant, set expected correlation coefficient to NaN.
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/unit/computations/test_correlation.py | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/tests/unit/computations/test_correlation.py b/tests/unit/computations/test_correlation.py index e6cf198..d60dd62 100644 --- a/tests/unit/computations/test_correlation.py +++ b/tests/unit/computations/test_correlation.py @@ -4,6 +4,7 @@ from unittest import mock import unittest from collections import namedtuple +import math from numpy.testing import assert_almost_equal from gn3.computations.correlations import normalize_values @@ -471,10 +472,10 @@ class TestCorrelation(TestCase): [None, None, None, None, None, None, None, None, None, 0], (0.0, 1)], [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], - (0, 10)], + (math.nan, 10)], [[9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87], [9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87, 9.87], - (0.9999999999999998, 10)], + (math.nan, 10)], [[9.3, 2.2, 5.4, 7.2, 6.4, 7.6, 3.8, 1.8, 8.4, 0.2], [0.6, 3.97, 5.82, 8.21, 1.65, 4.55, 6.72, 9.5, 7.33, 2.34], (-0.12720361919462056, 10)], |