[Doc] Fix spelling and grammar in examples

Author: oscargus

examples/axes_grid1/demo_axes_divider.py

@@ -1,6 +1,6 @@
 """
 ============
-Axes Divider
+Axes divider
 ============
 
 Axes divider to calculate location of axes and
@@ -112,7 +112,7 @@ def demo():
 
     # PLOT 3
     # image and colorbar whose location is adjusted in the drawing time.
-    # a easy way
+    # an easy way
 
     ax = fig.add_subplot(2, 2, 3)
     demo_locatable_axes_easy(ax)

examples/axes_grid1/inset_locator_demo.py

@@ -1,6 +1,6 @@
 """
 ==================
-Inset Locator Demo
+Inset locator demo
 ==================
 
 """
@@ -45,7 +45,7 @@
 
 ###############################################################################
 # The parameters *bbox_to_anchor* and *bbox_transform* can be used for a more
-# fine grained control over the inset position and size or even to position
+# fine-grained control over the inset position and size or even to position
 # the inset at completely arbitrary positions.
 # The *bbox_to_anchor* sets the bounding box in coordinates according to the
 # *bbox_transform*.
@@ -54,12 +54,12 @@
 fig = plt.figure(figsize=[5.5, 2.8])
 ax = fig.add_subplot(121)
 
-# We use the axes transform as bbox_transform. Therefore the bounding box
+# We use the axes transform as bbox_transform. Therefore, the bounding box
 # needs to be specified in axes coordinates ((0, 0) is the lower left corner
 # of the axes, (1, 1) is the upper right corner).
 # The bounding box (.2, .4, .6, .5) starts at (.2, .4) and ranges to (.8, .9)
 # in those coordinates.
-# Inside of this bounding box an inset of half the bounding box' width and
+# Inside this bounding box an inset of half the bounding box' width and
 # three quarters of the bounding box' height is created. The lower left corner
 # of the inset is aligned to the lower left corner of the bounding box (loc=3).
 # The inset is then offset by the default 0.5 in units of the font size.
@@ -103,7 +103,7 @@
 ###############################################################################
 # In the above the axes transform together with 4-tuple bounding boxes has been
 # used as it mostly is useful to specify an inset relative to the axes it is
-# an inset to. However other use cases are equally possible. The following
+# an inset to. However, other use cases are equally possible. The following
 # example examines some of those.
 #
 

examples/axes_grid1/inset_locator_demo2.py

@@ -1,9 +1,9 @@
 """
 ====================
-Inset Locator Demo 2
+Inset locator demo 2
 ====================
 
-This Demo shows how to create a zoomed inset via `.zoomed_inset_axes`.
+This demo shows how to create a zoomed inset via `.zoomed_inset_axes`.
 In the first subplot an `.AnchoredSizeBar` shows the zoom effect.
 In the second subplot a connection to the region of interest is
 created via `.mark_inset`.
@@ -63,7 +63,7 @@ def add_sizebar(ax, size):
 axins2 = zoomed_inset_axes(ax2, zoom=6, loc=1)
 axins2.imshow(Z2, extent=extent, origin="lower")
 
-# sub region of the original image
+# subregion of the original image
 x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
 axins2.set_xlim(x1, x2)
 axins2.set_ylim(y1, y2)

examples/axes_grid1/simple_axes_divider3.py

@@ -1,6 +1,6 @@
 """
 =====================
-Simple Axes Divider 3
+Simple axes divider 3
 =====================
 
 See also :doc:`/tutorials/toolkits/axes_grid`.
@@ -13,7 +13,7 @@
 
 fig = plt.figure(figsize=(5.5, 4))
 
-# the rect parameter will be ignore as we will set axes_locator
+# the rect parameter will be ignored as we will set axes_locator
 rect = (0.1, 0.1, 0.8, 0.8)
 ax = [fig.add_axes(rect, label="%d" % i) for i in range(4)]
 

examples/event_handling/cursor_demo.py

@@ -1,15 +1,15 @@
 """
 =================
-Cross hair cursor
+Cross-hair cursor
 =================
 
-This example adds a cross hair as a data cursor.  The cross hair is
+This example adds a cross-hair as a data cursor.  The cross-hair is
 implemented as regular line objects that are updated on mouse move.
 
 We show three implementations:
 
 1) A simple cursor implementation that redraws the figure on every mouse move.
-   This is a bit slow and you may notice some lag of the cross hair movement.
+   This is a bit slow, and you may notice some lag of the cross-hair movement.
 2) A cursor that uses blitting for speedup of the rendering.
 3) A cursor that snaps to data points.
 
@@ -76,18 +76,18 @@ def on_mouse_move(self, event):
 # Faster redrawing using blitting
 # """""""""""""""""""""""""""""""
 # This technique stores the rendered plot as a background image. Only the
-# changed artists (cross hair lines and text) are rendered anew. They are
+# changed artists (cross-hair lines and text) are rendered anew. They are
 # combined with the background using blitting.
 #
 # This technique is significantly faster. It requires a bit more setup because
-# the background has to be stored without the cross hair lines (see
+# the background has to be stored without the cross-hair lines (see
 # ``create_new_background()``). Additionally, a new background has to be
 # created whenever the figure changes. This is achieved by connecting to the
 # ``'draw_event'``.
 
 class BlittedCursor:
     """
-    A cross hair cursor using blitting for faster redraw.
+    A cross-hair cursor using blitting for faster redraw.
     """
     def __init__(self, ax):
         self.ax = ax
@@ -167,7 +167,7 @@ def on_mouse_move(self, event):
 
 class SnappingCursor:
     """
-    A cross hair cursor that snaps to the data point of a line, which is
+    A cross-hair cursor that snaps to the data point of a line, which is
     closest to the *x* position of the cursor.
 
     For simplicity, this assumes that *x* values of the data are sorted.

examples/event_handling/data_browser.py

@@ -1,12 +1,12 @@
 """
 ============
-Data Browser
+Data browser
 ============
 
 Connecting data between multiple canvases.
 
 This example covers how to interact data with multiple canvases. This
-let's you select and highlight a point on one axis, and generating the
+lets you select and highlight a point on one axis, and generating the
 data of that point on the other axis.
 
 .. note::

examples/event_handling/legend_picking.py

@@ -1,6 +1,6 @@
 """
 ==============
-Legend Picking
+Legend picking
 ==============
 
 Enable picking on the legend to toggle the original line on and off
@@ -42,7 +42,7 @@ def on_pick(event):
     origline = lined[legline]
     visible = not origline.get_visible()
     origline.set_visible(visible)
-    # Change the alpha on the line in the legend so we can see what lines
+    # Change the alpha on the line in the legend, so we can see what lines
     # have been toggled.
     legline.set_alpha(1.0 if visible else 0.2)
     fig.canvas.draw()

examples/event_handling/path_editor.py

@@ -1,6 +1,6 @@
 """
 ===========
-Path Editor
+Path editor
 ===========
 
 Sharing events across GUIs.
@@ -47,7 +47,7 @@
 
 class PathInteractor:
     """
-    An path editor.
+    A path editor.
 
     Press 't' to toggle vertex markers on and off.  When vertex markers are on,
     they can be dragged with the mouse.

examples/event_handling/pick_event_demo.py

@@ -1,6 +1,6 @@
 """
 ===============
-Pick Event Demo
+Pick event demo
 ===============
 
 You can enable picking by setting the "picker" property of an artist
@@ -56,7 +56,7 @@ def pick_handler(event):
   the matplotlib.artist that generated the pick event.
 
 Additionally, certain artists like Line2D and PatchCollection may
-attach additional meta data like the indices into the data that meet
+attach additional metadata like the indices into the data that meet
 the picker criteria (for example, all the points in the line that are within
 the specified epsilon tolerance)
 

examples/event_handling/pick_event_demo2.py

@@ -1,7 +1,7 @@
 """
-================
-Pick Event Demo2
-================
+=================
+Pick event demo 2
+=================
 
 Compute the mean (mu) and standard deviation (sigma) of 100 data sets and plot
 mu vs. sigma.  When you click on one of the (mu, sigma) points, plot the raw