From 665de25ab00ed54ecd12b8a758543363e2b9b207 Mon Sep 17 00:00:00 2001 From: Maxim Slipenko Date: Sun, 11 Feb 2024 18:25:54 +0300 Subject: [PATCH] =?UTF-8?q?fix:=20=D0=B8=D1=81=D0=BF=D1=80=D0=B0=D0=B2?= =?UTF-8?q?=D0=BB=D0=B5=D0=BD=D1=8B=20=D0=BF=D1=80=D0=B5=D0=B4=D1=83=D0=BF?= =?UTF-8?q?=D1=80=D0=B5=D0=B6=D0=B4=D0=B5=D0=BD=D0=B8=D1=8F=20Codacy?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- statapp/distribution_window.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/statapp/distribution_window.py b/statapp/distribution_window.py index 8a1a0d1..b9f60b9 100644 --- a/statapp/distribution_window.py +++ b/statapp/distribution_window.py @@ -67,10 +67,8 @@ class NormalDistributionWindow(DistributionWindow): points = np.sort(points) mu = np.mean(points) sigmaSquared = np.var(points) - y_values = normalDensity(points, mu, sigmaSquared) - - sc.axes.plot(points, y_values) - + yValues = normalDensity(points, mu, sigmaSquared) + sc.axes.plot(points, yValues) return sc @@ -83,6 +81,6 @@ class ExponentialDistributionWindow(DistributionWindow): points = np.sort(points) mu = np.mean(points) lambdaParam = 1 / mu - y_values = lambdaParam * np.exp(-lambdaParam * points) - sc.axes.plot(points, y_values) + yValues = lambdaParam * np.exp(-lambdaParam * points) + sc.axes.plot(points, yValues) return sc