matplotlib · tacaswell · Dec 17, 2016 · Dec 4, 2016 · Dec 4, 2016 · Dec 4, 2016
diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axisartist1.py b/doc/mpl_toolkits/axes_grid/figures/simple_axisartist1.py
@@ -10,7 +10,7 @@
 ax.axis["bottom", "top", "right"].set_visible(False)
 
 # make an new axis along the first axis axis (x-axis) which pass
-# throught y=0.
+# through y=0.
 ax.axis["y=0"] = ax.new_floating_axis(nth_coord=0, value=0,
                                       axis_direction="bottom")
 ax.axis["y=0"].toggle(all=True)

diff --git a/doc/mpl_toolkits/axes_grid/figures/simple_axisline2.py b/doc/mpl_toolkits/axes_grid/figures/simple_axisline2.py
@@ -4,7 +4,7 @@
 
 fig = plt.figure(1, (4,3))
 
-# a subplot with two additiona axis, "xzero" and "yzero". "xzero" is
+# a subplot with two additional axis, "xzero" and "yzero". "xzero" is
 # y=0 line, and "yzero" is x=0 line.
 ax = SubplotZero(fig, 1, 1, 1)
 fig.add_subplot(ax)

diff --git a/doc/users/plotting/examples/custom_boxstyle02.py b/doc/users/plotting/examples/custom_boxstyle02.py
@@ -3,7 +3,7 @@
 import matplotlib.pyplot as plt
 
 # we may derive from matplotlib.patches.BoxStyle._Base class.
-# You need to overide transmute method in this case.
+# You need to override transmute method in this case.
 
 class MyStyle(BoxStyle._Base):
     """

diff --git a/examples/api/barchart_demo.py b/examples/api/barchart_demo.py
@@ -25,7 +25,7 @@
 # add some text for labels, title and axes ticks
 ax.set_ylabel('Scores')
 ax.set_title('Scores by group and gender')
-ax.set_xticks(ind + width)
+ax.set_xticks(ind + width / 2)
 ax.set_xticklabels(('G1', 'G2', 'G3', 'G4', 'G5'))
 
 ax.legend((rects1[0], rects2[0]), ('Men', 'Women'))

diff --git a/examples/api/date_demo.py b/examples/api/date_demo.py
@@ -31,7 +31,7 @@
 datafile = cbook.get_sample_data('goog.npy')
 try:
     # Python3 cannot load python2 .npy files with datetime(object) arrays
-    # unless the encoding is set to bytes. Hovever this option was
+    # unless the encoding is set to bytes. However this option was
     # not added until numpy 1.10 so this example will only work with
     # python 2 or with numpy 1.10 and later.
     r = np.load(datafile, encoding='bytes').view(np.recarray)

diff --git a/examples/api/font_file.py b/examples/api/font_file.py
@@ -7,7 +7,7 @@
 Although it is usually not a good idea to explicitly point to a single
 ttf file for a font instance, you can do so using the
 font_manager.FontProperties fname argument (for a more flexible
-solution, see the font_fmaily_rc.py and fonts_demo.py examples).
+solution, see the font_family_rc.py and fonts_demo.py examples).
 """
 import sys
 import os

diff --git a/examples/api/histogram_path_demo.py b/examples/api/histogram_path_demo.py
@@ -8,7 +8,7 @@
 the faster method of using PolyCollections, were implemented before we
 had proper paths with moveto/lineto, closepoly etc in mpl.  Now that
 we have them, we can draw collections of regularly shaped objects with
-homogeous properties more efficiently with a PathCollection.  This
+homogeneous properties more efficiently with a PathCollection.  This
 example makes a histogram -- its more work to set up the vertex arrays
 at the outset, but it should be much faster for large numbers of
 objects

diff --git a/examples/api/radar_chart.py b/examples/api/radar_chart.py
@@ -135,7 +135,7 @@ def example_data():
     #     Pyrolized Organic Carbon (OP)
     #  2)Inclusion of gas-phase specie carbon monoxide (CO)
     #  3)Inclusion of gas-phase specie ozone (O3).
-    #  4)Inclusion of both gas-phase speciesis present...
+    #  4)Inclusion of both gas-phase species is present...
     data = [
         ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 'CO', 'O3'],
         ('Basecase', [

diff --git a/examples/api/unicode_minus.py b/examples/api/unicode_minus.py
@@ -3,12 +3,12 @@
 Unicode minus
 =============
 
-You can use the proper typesetting unicode minus (see
-http://en.wikipedia.org/wiki/Plus_sign#Plus_sign) or the ASCII hypen
+You can use the proper typesetting Unicode minus (see
+https://en.wikipedia.org/wiki/Plus_sign#Plus_sign) or the ASCII hyphen
 for minus, which some people prefer.  The matplotlibrc param
 axes.unicode_minus controls the default behavior.
 
-The default is to use the unicode minus
+The default is to use the Unicode minus.
 """
 import numpy as np
 import matplotlib
@@ -17,5 +17,5 @@
 matplotlib.rcParams['axes.unicode_minus'] = False
 fig, ax = plt.subplots()
 ax.plot(10*np.random.randn(100), 10*np.random.randn(100), 'o')
-ax.set_title('Using hypen instead of unicode minus')
+ax.set_title('Using hyphen instead of Unicode minus')
 plt.show()
diff --git a/examples/axes_grid/demo_curvelinear_grid.py b/examples/axes_grid/demo_curvelinear_grid.py
@@ -113,7 +113,7 @@ def curvelinear_test2(fig):
     # A parasite axes with given transform
     ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal")
     # note that ax2.transData == tr + ax1.transData
-    # Anthing you draw in ax2 will match the ticks and grids of ax1.
+    # Anything you draw in ax2 will match the ticks and grids of ax1.
     ax1.parasites.append(ax2)
     intp = cbook.simple_linear_interpolation
     ax2.plot(intp(np.array([0, 30]), 50),

diff --git a/examples/axes_grid/demo_floating_axes.py b/examples/axes_grid/demo_floating_axes.py
@@ -27,7 +27,7 @@ def setup_axes1(fig, rect):
     tr = Affine2D().scale(2, 1).rotate_deg(30)
 
     grid_helper = floating_axes.GridHelperCurveLinear(
-        tr, extremes=(0, 4, 0, 4))
+        tr, extremes=(-0.5, 3.5, 0, 4))
 
     ax1 = floating_axes.FloatingSubplot(fig, rect, grid_helper=grid_helper)
     fig.add_subplot(ax1)

diff --git a/examples/axes_grid/demo_parasite_axes2.py b/examples/axes_grid/demo_parasite_axes2.py
@@ -5,7 +5,7 @@
 to plot multiple different values onto one single plot. Notice how in this
 example, par1 and par2 are both calling twinx meaning both are tied directly to
 the x-axis. From there, each of those two axis can behave separately from the
-each other, meaning they can take on seperate values from themselves as well as
+each other, meaning they can take on separate values from themselves as well as
 the x-axis.
 """
 from mpl_toolkits.axes_grid1 import host_subplot

diff --git a/examples/event_handling/README.txt b/examples/event_handling/README.txt
@@ -5,7 +5,7 @@ matplotlib supports event handling with a GUI neutral event model.  So
 you can connect to matplotlib events w/o knowledge of what user
 interface matplotlib will ultimately be plugged in to.  This has two
 advantages: the code you write will be more portable, and matplotlib
-events are aware of things like data coordinate space and whih axes
+events are aware of things like data coordinate space and which axes
 the event occurs in so you don't have to mess with low level
 transformation details to go from canvas space to data space.  Object
 picking examples are also included.
diff --git a/examples/event_handling/lasso_demo.py b/examples/event_handling/lasso_demo.py
@@ -38,9 +38,8 @@ def __init__(self, ax, data):
 
         facecolors = [d.color for d in data]
         self.xys = [(d.x, d.y) for d in data]
-        fig = ax.figure
         self.collection = RegularPolyCollection(
-            fig.dpi, 6, sizes=(100,),
+            6, sizes=(100,),
             facecolors=facecolors,
             offsets=self.xys,
             transOffset=ax.transData)

diff --git a/examples/event_handling/legend_picking.py b/examples/event_handling/legend_picking.py
@@ -1,5 +1,5 @@
 """
-Enable picking on the legend to toggle the legended line on and off
+Enable picking on the legend to toggle the original line on and off
 """
 import numpy as np
 import matplotlib.pyplot as plt

diff --git a/examples/event_handling/viewlims.py b/examples/event_handling/viewlims.py
@@ -17,7 +17,7 @@ def __call__(self, ax):
 # A class that will regenerate a fractal set as we zoom in, so that you
 # can actually see the increasing detail.  A box in the left panel will show
 # the area to which we are zoomed.
-class MandlebrotDisplay(object):
+class MandelbrotDisplay(object):
     def __init__(self, h=500, w=500, niter=50, radius=2., power=2):
         self.height = h
         self.width = w
@@ -57,7 +57,7 @@ def ax_update(self, ax):
         im.set_extent((xstart, xend, ystart, yend))
         ax.figure.canvas.draw_idle()
 
-md = MandlebrotDisplay()
+md = MandelbrotDisplay()
 Z = md(-2., 0.5, -1.25, 1.25)
 
 fig1, (ax1, ax2) = plt.subplots(1, 2)

diff --git a/examples/images_contours_and_fields/streamplot_demo_masking.py b/examples/images_contours_and_fields/streamplot_demo_masking.py
@@ -14,9 +14,9 @@
 speed = np.sqrt(U*U + V*V)
 
 mask = np.zeros(U.shape, dtype=bool)
-mask[40:60, 40:60] = 1
-U = np.ma.array(U, mask=mask)
+mask[40:60, 40:60] = True
 U[:20, :20] = np.nan
+U = np.ma.array(U, mask=mask)
 
 fig, ax = plt.subplots()
 ax.streamplot(X, Y, U, V, color='r')

diff --git a/examples/misc/ftface_props.py b/examples/misc/ftface_props.py
@@ -2,7 +2,7 @@
 """
 This is a demo script to show you how to use all the properties of an
 FT2Font object.  These describe global font properties.  For
-individual character metrices, use the Glyp object, as returned by
+individual character metrics, use the Glyph object, as returned by
 load_char
 """
 import matplotlib
@@ -18,7 +18,7 @@
 print('Num faces   :', font.num_faces)        # number of faces in file
 print('Num glyphs  :', font.num_glyphs)       # number of glyphs in the face
 print('Family name :', font.family_name)      # face family name
-print('Syle name   :', font.style_name)       # face syle name
+print('Style name  :', font.style_name)       # face style name
 print('PS name     :', font.postscript_name)  # the postscript name
 print('Num fixed   :', font.num_fixed_sizes)  # number of embedded bitmap in face
 

diff --git a/examples/misc/sample_data_demo.py b/examples/misc/sample_data_demo.py
@@ -1,6 +1,6 @@
 """
 Grab mpl data from the ~/.matplotlib/sample_data cache if it exists, else
-fetch it from github and cache it
+fetch it from GitHub and cache it
 """
 from __future__ import print_function
 import matplotlib.cbook as cbook

diff --git a/examples/misc/svg_filter_line.py b/examples/misc/svg_filter_line.py
@@ -1,7 +1,7 @@
 """
 Demonstrate SVG filtering effects which might be used with mpl.
 
-Note that the filtering effects are only effective if your svg rederer
+Note that the filtering effects are only effective if your svg renderer
 support it.
 """
 
@@ -78,7 +78,7 @@
 for l in [l1, l2]:
     # pick up the svg element with given id
     shadow = xmlid[l.get_label() + "_shadow"]
-    # apply shdow filter
+    # apply shadow filter
     shadow.set("filter", 'url(#dropshadow)')
 
 fn = "svg_filter_line.svg"

diff --git a/examples/misc/svg_filter_pie.py b/examples/misc/svg_filter_pie.py
@@ -2,7 +2,7 @@
 Demonstrate SVG filtering effects which might be used with mpl.
 The pie chart drawing code is borrowed from pie_demo.py
 
-Note that the filtering effects are only effective if your svg rederer
+Note that the filtering effects are only effective if your svg renderer
 support it.
 """
 
@@ -50,12 +50,12 @@
 
 
 # filter definition for shadow using a gaussian blur
-# and lighteneing effect.
-# The lightnening filter is copied from http://www.w3.org/TR/SVG/filters.html
+# and lightening effect.
+# The lightening filter is copied from http://www.w3.org/TR/SVG/filters.html
 
 # I tested it with Inkscape and Firefox3. "Gaussian blur" is supported
-# in both, but the lightnening effect only in the inkscape. Also note
-# that, inkscape's exporting also may not support it.
+# in both, but the lightening effect only in the Inkscape. Also note
+# that, Inkscape's exporting also may not support it.
 
 filter_def = """
   <defs  xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink'>

diff --git a/examples/pylab_examples/README b/examples/pylab_examples/README
@@ -1,9 +1,6 @@
 Here are some demos of how to use the matplotlib.
 
 
--- data_helper.py - a convenience module to load some data from the
-      data dir
-
 -- embedding_in_gtk - The Figure class derives from gtk.DrawingArea,
    so it is easy to embed in larger applications.
 
@@ -14,11 +11,3 @@ Here are some demos of how to use the matplotlib.
 -- subplot_demo.py - how to do multiple axes on a single plot
 
 -- vline_hline_demo.py   - working with straight lines
-
--- stock_demo.py - working with large datasets.  Click on the plot and
-      launch the navigation tool; wheel mouse over the navigation
-      buttons to scroll and zoom.  There are 58 days of minute by
-      minute stock quotes for two tickers.  The plot lib uses
-      Numeric's super speedy searchsorted routine to extract the
-      clipping indices so only the data in the viewport are handled.
-
diff --git a/examples/pylab_examples/accented_text.py b/examples/pylab_examples/accented_text.py
@@ -1,4 +1,4 @@
-"""
+r"""
 matplotlib supports accented characters via TeX mathtext
 
 The following accents are provided: \hat, \breve, \grave, \bar,

diff --git a/examples/pylab_examples/bar_stacked.py b/examples/pylab_examples/bar_stacked.py
@@ -17,7 +17,7 @@
 
 plt.ylabel('Scores')
 plt.title('Scores by group and gender')
-plt.xticks(ind + width/2., ('G1', 'G2', 'G3', 'G4', 'G5'))
+plt.xticks(ind, ('G1', 'G2', 'G3', 'G4', 'G5'))
 plt.yticks(np.arange(0, 81, 10))
 plt.legend((p1[0], p2[0]), ('Men', 'Women'))
 

diff --git a/examples/pylab_examples/barchart_demo.py b/examples/pylab_examples/barchart_demo.py
@@ -38,7 +38,7 @@
 plt.xlabel('Group')
 plt.ylabel('Scores')
 plt.title('Scores by group and gender')
-plt.xticks(index + bar_width, ('A', 'B', 'C', 'D', 'E'))
+plt.xticks(index + bar_width / 2, ('A', 'B', 'C', 'D', 'E'))
 plt.legend()
 
 plt.tight_layout()

diff --git a/examples/pylab_examples/barchart_demo2.py b/examples/pylab_examples/barchart_demo2.py
@@ -69,7 +69,7 @@ def plot_student_results(student, scores, cohort_size):
     fig.subplots_adjust(left=0.115, right=0.88)
     fig.canvas.set_window_title('Eldorado K-8 Fitness Chart')
 
-    pos = np.arange(len(testNames)) + 0.5  # Center bars on the Y-axis ticks
+    pos = np.arange(len(testNames))
 
     rects = ax1.barh(pos, [scores[k].percentile for k in testNames],
                      align='center',
@@ -160,3 +160,4 @@ def plot_student_results(student, scores, cohort_size):
 cohort_size = 62  # The number of other 2nd grade boys
 
 arts = plot_student_results(student, scores, cohort_size)
+plt.show()
diff --git a/examples/pylab_examples/centered_ticklabels.py b/examples/pylab_examples/centered_ticklabels.py
@@ -22,7 +22,7 @@
 fh = cbook.get_sample_data('aapl.npy.gz')
 try:
     # Python3 cannot load python2 .npy files with datetime(object) arrays
-    # unless the encoding is set to bytes. Hovever this option was
+    # unless the encoding is set to bytes. However this option was
     # not added until numpy 1.10 so this example will only work with
     # python 2 or with numpy 1.10 and later.
     r = np.load(fh, encoding='bytes')

diff --git a/examples/pylab_examples/custom_ticker1.py b/examples/pylab_examples/custom_ticker1.py
@@ -25,5 +25,5 @@ def millions(x, pos):
 fig, ax = plt.subplots()
 ax.yaxis.set_major_formatter(formatter)
 plt.bar(x, money)
-plt.xticks(x + 0.5, ('Bill', 'Fred', 'Mary', 'Sue'))
+plt.xticks(x, ('Bill', 'Fred', 'Mary', 'Sue'))
 plt.show()
diff --git a/examples/pylab_examples/data_helper.py b/examples/pylab_examples/data_helper.py