matplotlib
diff --git a/‎examples/images_contours_and_fields/pcolormesh_grids.py
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+1-1Lines changed: 1 addition & 1 deletion b/‎examples/images_contours_and_fields/pcolormesh_grids.py
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+1-1Lines changed: 1 addition & 1 deletion
diff --git a/‎examples/lines_bars_and_markers/fill_between_demo.py
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+2-2Lines changed: 2 additions & 2 deletions b/‎examples/lines_bars_and_markers/fill_between_demo.py
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diff --git a/‎examples/subplots_axes_and_figures/subplots_demo.py
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+1-1Lines changed: 1 addition & 1 deletion b/‎examples/subplots_axes_and_figures/subplots_demo.py
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@@ -27,7 +27,7 @@
 # and if the grid is one larger than the data in each dimension, i.e. has shape
 # *(M+1, N+1)*.  In that case *X* and *Y* specify the corners of quadrilaterals
 # that are colored with the values in *Z*. Here we specify the edges of the
-# *(3, 5)* quadrilaterals with *X* and *Y* that  are *(4, 6)*.
+# *(3, 5)* quadrilaterals with *X* and *Y* that are *(4, 6)*.
 
 nrows = 3
 ncols = 5
 
@@ -14,8 +14,8 @@
 #
 # Basic usage
 # -----------
-# The parameters *y1* and *y2* can be a scalar, indicating a horizontal
-# boundary a  the given y-values. If only *y1* is given, *y2* defaults to 0.
+# The parameters *y1* and *y2* can be scalars, indicating a horizontal
+# boundary at the given y-values. If only *y1* is given, *y2* defaults to 0.
 
 x = np.arange(0.0, 2, 0.01)
 y1 = np.sin(2 * np.pi * x)
 
@@ -94,7 +94,7 @@
     ax.label_outer()
 
 ###############################################################################
-# You can  use tuple-unpacking also in 2D to assign all subplots to dedicated
+# You can use tuple-unpacking also in 2D to assign all subplots to dedicated
 # variables:
 
 fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)