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author | Frederick Muriuki Muriithi | 2021-11-04 12:38:27 +0300 |
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committer | Frederick Muriuki Muriithi | 2021-11-04 12:38:27 +0300 |
commit | 0357f5c5e6eeb146eb259337019c87079363a256 (patch) | |
tree | fb6d03e8120ca983473568dec214a92251386c65 /tests/unit/computations | |
parent | 32e6d788ac5b6fa8daf4c26b2ad7bca32d71d828 (diff) | |
download | genenetwork3-0357f5c5e6eeb146eb259337019c87079363a256.tar.gz |
Implement `build_data_frame`
Issue:
https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/partial-correlations.gmi
* gn3/computations/partial_correlations.py: new function (`build_data_frame`)
* tests/unit/computations/test_partial_correlations.py: Add tests for new
function
Add a new function to build a pandas DataFrame object from the provided
values:
- x: a vector of floats (represented with a tuple of floats)
- y: a vector of floats (represented with a tuple of floats)
- z: a vector OR matrix of floats (represented with a tuple of floats or a
tuple of tuples of floats)
Diffstat (limited to 'tests/unit/computations')
-rw-r--r-- | tests/unit/computations/test_partial_correlations.py | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/tests/unit/computations/test_partial_correlations.py b/tests/unit/computations/test_partial_correlations.py index c5c35d1..b22bc62 100644 --- a/tests/unit/computations/test_partial_correlations.py +++ b/tests/unit/computations/test_partial_correlations.py @@ -2,9 +2,12 @@ import csv from unittest import TestCase + +import pandas from gn3.computations.partial_correlations import ( fix_samples, control_samples, + build_data_frame, dictify_by_samples, tissue_correlation, find_identical_traits, @@ -297,6 +300,25 @@ class TestPartialCorrelations(TestCase): ("a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l")), (0, 4, 8, 10)) + def test_build_data_frame(self): + """ + Check that the function builds the correct data frame. + """ + for xdata, ydata, zdata, expected in ( + ((0.1, 1.1, 2.1), (2.1, 3.1, 4.1), (5.1, 6.1 ,7.1), + pandas.DataFrame({ + "x": (0.1, 1.1, 2.1), "y": (2.1, 3.1, 4.1), + "z": (5.1, 6.1 ,7.1)})), + ((0.1, 1.1, 2.1), (2.1, 3.1, 4.1), + ((5.1, 6.1 ,7.1), (5.2, 6.2, 7.2), (5.3, 6.3, 7.3)), + pandas.DataFrame({ + "x": (0.1, 1.1, 2.1), "y": (2.1, 3.1, 4.1), + "z0": (5.1, 5.2 ,5.3), "z1": (6.1, 6.2 ,6.3), + "z2": (7.1, 7.2 ,7.3)}))): + with self.subTest(xdata=xdata, ydata=ydata, zdata=zdata): + self.assertTrue( + build_data_frame(xdata, ydata, zdata).equals(expected)) + def test_partial_correlation_matrix(self): """ Test that `partial_correlation_matrix` computes the appropriate |