Merge pull request #13969 from meeseeksmachine/auto-backport-of-pr-13950-on-v3.1.x

dstansby · web-flow · commit ccf1043dc45d · 2019-04-16T09:23:18.000+01:00
Backport PR #13950 on branch v3.1.x (confidence_ellipse_markup)
diff --git a/examples/statistics/confidence_ellipse.py b/examples/statistics/confidence_ellipse.py
@@ -16,6 +16,13 @@
 pearson correlation coefficients and ones) is particularly easy to handle.
 """
 
+
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.patches import Ellipse
+import matplotlib.transforms as transforms
+
+
 #############################################################################
 #
 # The plotting function itself
@@ -31,12 +38,6 @@
 # like in these examples).
 
 
-import numpy as np
-import matplotlib.pyplot as plt
-from matplotlib.patches import Ellipse
-import matplotlib.transforms as transforms
-
-
 def confidence_ellipse(x, y, ax, n_std=3.0, facecolor='none', **kwargs):
     """
     Create a plot of the covariance confidence ellipse of `x` and `y`
