From 452059928bdb20bc8dd9d5d98a97a9cdd4b0b65a Mon Sep 17 00:00:00 2001 From: Yassin <aliyassin4@hotmail.com> Date: Tue, 9 May 2023 03:10:18 +0200 Subject: [PATCH] Updating distribution procedure --- netbone/compare.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/netbone/compare.py b/netbone/compare.py index 4d0f510..684047a 100644 --- a/netbone/compare.py +++ b/netbone/compare.py @@ -90,7 +90,7 @@ class Compare: props_res[res].index.name = self.value_name return props_res - def distribution_ks_statistic(self, name, increasing=True): + def distribution_ks_statistic(self, increasing=True): if self.filter == boolean_filter: self.filter_values = [0] * len(self.backbones) if self.filter_values == []: @@ -100,7 +100,7 @@ class Compare: ks_statistics = pd.DataFrame(index=[backbone.name for backbone in self.backbones]) values0 = self.props[property](self.network) - dist['Original'] = cumulative_dist(name, 'Original', values0, increasing) + dist['Original'] = cumulative_dist(property, 'Original', values0, increasing) for property in self.props: dist_values = dict() @@ -108,7 +108,7 @@ class Compare: for i, backbone in enumerate(self.backbones): extracted_backbone = self.filter(backbone, value=self.filter_values[i], narrate=False) values1 = self.props[property](extracted_backbone) - dist_values[backbone.name] = cumulative_dist(name, extracted_backbone.name, values1, increasing) + dist_values[backbone.name] = cumulative_dist(property, extracted_backbone.name, values1, increasing) vals.append(kstest(values0, values1)[0]) # ks_statistics = pd.DataFrame(index=['Original'] + [backbone.name for backbone in self.backbones]) -- GitLab