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author | Frederick Muriuki Muriithi | 2021-10-29 08:48:16 +0300 |
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committer | BonfaceKilz | 2021-11-04 12:45:57 +0300 |
commit | 5a81b7ae59702d6393e9f74a00d8394131b5192a (patch) | |
tree | c0b3613a0d4c9ddbf184c18fe499cc668c7344ad /gn3 | |
parent | fed4c481eceb0ce464deee6262b96676eb869ad3 (diff) | |
download | genenetwork3-5a81b7ae59702d6393e9f74a00d8394131b5192a.tar.gz |
Explicitly round the values
* Explicitly round the values to prevent issues with the type-checker
Diffstat (limited to 'gn3')
-rw-r--r-- | gn3/computations/partial_correlations.py | 5 |
1 files changed, 2 insertions, 3 deletions
diff --git a/gn3/computations/partial_correlations.py b/gn3/computations/partial_correlations.py index 8a00931..151143a 100644 --- a/gn3/computations/partial_correlations.py +++ b/gn3/computations/partial_correlations.py @@ -148,9 +148,8 @@ def tissue_correlation( assert method in method_fns.keys(), ( "Method must be one of: {}".format(",".join(method_fns.keys()))) - return tuple( - round(n, 10) for n in - method_fns[method](primary_trait_values, target_trait_values)) + corr, pvalue = method_fns[method](primary_trait_values, target_trait_values) + return (round(corr, 10), round(pvalue, 10)) def batch_computed_tissue_correlation( primary_trait_values: Tuple[float, ...], target_traits_dict: dict, |