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| author | Frederick Muriuki Muriithi | 2022-02-08 08:04:39 +0300 |
|---|---|---|
| committer | BonfaceKilz | 2022-02-08 10:12:27 +0300 |
| commit | 7cedea626c77167a2fb668044b93e40a97b67711 (patch) | |
| tree | 5804c352553d98caa9fef510475303905b1b1579 /gn3 | |
| parent | 35092e0bf2c411c6a9cb2e7b5809fca604eec9e0 (diff) | |
| download | genenetwork3-7cedea626c77167a2fb668044b93e40a97b67711.tar.gz | |
Merge iterations to remove unnecessary computations
Do all the work in a single iteration to avoid unnecessary iterations that
hamper performance.
Diffstat (limited to 'gn3')
| -rw-r--r-- | gn3/computations/partial_correlations.py | 6 |
1 files changed, 2 insertions, 4 deletions
diff --git a/gn3/computations/partial_correlations.py b/gn3/computations/partial_correlations.py index 9fcc54e..f1757f9 100644 --- a/gn3/computations/partial_correlations.py +++ b/gn3/computations/partial_correlations.py @@ -294,13 +294,11 @@ def compute_trait_info(primary_vals, control_vals, target, method): def __remove_controls_for_target_nones(cont_targ): return tuple(cont for cont, targ in cont_targ if targ is not None) - conts_targs = tuple(tuple( - zip(control, targ_vals)) for control in control_vals) datafrm = build_data_frame( primary, [targ for targ in targ_vals if targ is not None], - [__remove_controls_for_target_nones(cont_targ) - for cont_targ in conts_targs]) + [__remove_controls_for_target_nones(tuple(zip(control, targ_vals))) + for control in control_vals]) covariates = "z" if datafrm.shape[1] == 3 else [ col for col in datafrm.columns if col not in ("x", "y")] ppc = pingouin.partial_corr( |