matplotlib
diff --git a/‎examples/images_contours_and_fields/pcolormesh_levels.py‎
Lines changed: 3 additions & 3 deletions b/‎examples/images_contours_and_fields/pcolormesh_levels.py‎
Lines changed: 3 additions & 3 deletions
diff --git a/‎lib/matplotlib/axes/_axes.py‎
Lines changed: 1 addition & 2 deletions b/‎lib/matplotlib/axes/_axes.py‎
Lines changed: 1 addition & 2 deletions
@@ -24,7 +24,7 @@
 
 np.random.seed(19680801)
 Z = np.random.rand(6, 10)
-x = np.arange(-0.5, 10, 1) # len = 11
+x = np.arange(-0.5, 10, 1)  # len = 11
 y = np.arange(4.5, 11, 1)  # len = 7
 
 fig, ax = plt.subplots()
@@ -37,7 +37,7 @@
 # Note that we can also specify matrices for *X* and *Y* and have
 # non-rectilinear quadrilaterals.
 
-x = np.arange(-0.5, 10, 1) # len = 11
+x = np.arange(-0.5, 10, 1)  # len = 11
 y = np.arange(4.5, 11, 1)  # len = 7
 X, Y = np.meshgrid(x, y)
 X = X + 0.2 * Y  # tilt the co-ordinates.
@@ -56,7 +56,7 @@
 # ``dropdata=True`` assume the user wanted *X* and *Y* centered on the
 # quadrilateral and linearly interpolate to get the edges.
 
-x = np.arange(10) # len = 10
+x = np.arange(10)  # len = 10
 y = np.arange(6)  # len = 6
 X, Y = np.meshgrid(x, y)
 
 
@@ -5667,7 +5667,7 @@ def _pcolorargs(funcname, *args, allmatch=False, dropdata=True):
                                     C.shape, Nx, Ny, funcname))
 
             if dropdata:
-                 C = C[:Ny - 1, :Nx - 1]
+                C = C[:Ny - 1, :Nx - 1]
             else:
                 def _interp_grid(X):
                     # helper for below
@@ -5781,7 +5781,6 @@ def pcolor(self, *args, alpha=None, norm=None, cmap=None, vmin=None,
             of the quadrilaterals, and their edges calculated by linear
             interpolation.
 
-
         Returns
         -------
         collection : `matplotlib.collections.Collection`