matplotlib
diff --git a/‎lib/matplotlib/colorbar.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colorbar.py
+6-5Lines changed: 6 additions & 5 deletions b/‎lib/matplotlib/colorbar.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colorbar.py
+6-5Lines changed: 6 additions & 5 deletions
diff --git a/‎lib/matplotlib/tests/test_transforms.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_transforms.py
+7-5Lines changed: 7 additions & 5 deletions b/‎lib/matplotlib/tests/test_transforms.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_transforms.py
+7-5Lines changed: 7 additions & 5 deletions
@@ -687,9 +687,10 @@ def _process_values(self, b=None):
                 self.norm.vmin = 0
                 self.norm.vmax = 1
 
-            self.norm.vmin, self.norm.vmax = mtransforms.nonsingular(self.norm.vmin,
-                                                                     self.norm.vmax,
-                                                                     expander=0.1)
+            self.norm.vmin, self.norm.vmax = mtransforms.nonsingular(
+                self.norm.vmin,
+                self.norm.vmax,
+                expander=0.1)
 
             b = self.norm.inverse(self._uniform_y(self.cmap.N + 1))
 
@@ -1126,8 +1127,8 @@ def make_axes(parents, location=None, orientation=None, fraction=0.15,
                          'parents share the same figure.')
 
     # take a bounding box around all of the given axes
-    parents_bbox = mtransforms.Bbox.union([ax.get_position(original=True).frozen()
-                                           for ax in parents])
+    parents_bbox = mtransforms.Bbox.union(
+        [ax.get_position(original=True).frozen() for ax in parents])
 
     pb = parents_bbox
     if location in ('left', 'right'):
 
@@ -62,7 +62,8 @@ def __init__(self, scale_factor):
             self._scale_factor = scale_factor
 
         def _as_mpl_transform(self, axes):
-            return mtransforms.Affine2D().scale(self._scale_factor) + axes.transData
+            return (mtransforms.Affine2D().scale(self._scale_factor)
+                    + axes.transData)
 
     ax = plt.axes()
     line, = plt.plot(np.arange(10), transform=ScaledBy(10))
@@ -191,7 +192,7 @@ def test_clipping_of_log():
 
     # something like this happens in plotting logarithmic histograms
     trans = mtransforms.BlendedGenericTransform(mtransforms.Affine2D(),
-                                                LogScale.Log10Transform('clip'))
+                                            LogScale.Log10Transform('clip'))
     tpath = trans.transform_path_non_affine(path)
     result = tpath.iter_segments(trans.get_affine(),
                                  clip=(0, 0, 100, 100),
@@ -379,7 +380,8 @@ def test_line_extent_compound_coords1(self):
         # a simple line in data coordinates in the y component, and in axes
         # coordinates in the x
         ax = plt.axes()
-        trans = mtransforms.blended_transform_factory(ax.transAxes, ax.transData)
+        trans = mtransforms.blended_transform_factory(ax.transAxes,
+                                                      ax.transData)
         ax.plot([0.1, 1.2, 0.8], [35, -5, 18], transform=trans)
         assert_array_equal(ax.dataLim.get_points(),
                            np.array([[np.inf, -5.],
@@ -399,8 +401,8 @@ def test_line_extent_compound_coords2(self):
         # a simple line in (offset + data) coordinates in the y component, and
         # in axes coordinates in the x
         ax = plt.axes()
-        trans = mtransforms.blended_transform_factory(
-            ax.transAxes, mtransforms.Affine2D().scale(10) + ax.transData)
+        trans = mtransforms.blended_transform_factory(ax.transAxes,
+            mtransforms.Affine2D().scale(10) + ax.transData)
         ax.plot([0.1, 1.2, 0.8], [35, -5, 18], transform=trans)
         assert_array_equal(ax.dataLim.get_points(),
                            np.array([[np.inf, -50.], [-np.inf, 350.]]))