Minor whitespace edits

tonyyli · tonyyli · commit c3207eb93fcd · 2017-07-16T15:39:55.000-05:00
diff --git a/examples/animation/basic_example.py b/examples/animation/basic_example.py
@@ -17,6 +17,7 @@ def update_line(num, data, line):
     return line,
 
 ###############################################################################
+
 fig1 = plt.figure()
 
 # Fixing random state for reproducibility
@@ -34,6 +35,7 @@ def update_line(num, data, line):
 # To save the animation, use the command: line_ani.save('lines.mp4')
 
 ###############################################################################
+
 fig2 = plt.figure()
 
 x = np.arange(-9, 10)
diff --git a/examples/api/sankey_basics.py b/examples/api/sankey_basics.py
@@ -15,10 +15,12 @@
 # Example 1 -- Mostly defaults
 # This demonstrates how to create a simple diagram by implicitly calling the
 # Sankey.add() method and by appending finish() to the call to the class.
+
 Sankey(flows=[0.25, 0.15, 0.60, -0.20, -0.15, -0.05, -0.50, -0.10],
        labels=['', '', '', 'First', 'Second', 'Third', 'Fourth', 'Fifth'],
        orientations=[-1, 1, 0, 1, 1, 1, 0, -1]).finish()
 plt.title("The default settings produce a diagram like this.")
+
 ###############################################################################
 # Notice:
 #   1. Axes weren't provided when Sankey() was instantiated, so they were
@@ -39,6 +41,7 @@
 #   7. Formatting the numbers in the path labels and the associated unit
 #   8. Changing the appearance of the patch and the labels after the figure is
 #      created
+
 fig = plt.figure()
 ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[],
                      title="Flow Diagram of a Widget")
@@ -54,6 +57,7 @@
 diagrams = sankey.finish()
 diagrams[0].texts[-1].set_color('r')
 diagrams[0].text.set_fontweight('bold')
+
 ###############################################################################
 # Notice:
 #   1. Since the sum of the flows is nonzero, the width of the trunk isn't
@@ -68,6 +72,7 @@
 #   1. Connecting two systems
 #   2. Turning off the labels of the quantities
 #   3. Adding a legend
+
 fig = plt.figure()
 ax = fig.add_subplot(1, 1, 1, xticks=[], yticks=[], title="Two Systems")
 flows = [0.25, 0.15, 0.60, -0.10, -0.05, -0.25, -0.15, -0.10, -0.35]
@@ -79,6 +84,7 @@
 diagrams = sankey.finish()
 diagrams[-1].patch.set_hatch('/')
 plt.legend(loc='best')
+
 ###############################################################################
 # Notice that only one connection is specified, but the systems form a
 # circuit since: (1) the lengths of the paths are justified and (2) the
diff --git a/examples/images_contours_and_fields/contour_demo.py b/examples/images_contours_and_fields/contour_demo.py
@@ -31,6 +31,7 @@
 # inline argument to clabel will control whether the labels are draw
 # over the line segments of the contour, removing the lines beneath
 # the label
+
 plt.figure()
 CS = plt.contour(X, Y, Z)
 plt.clabel(CS, inline=1, fontsize=10)
@@ -41,6 +42,7 @@
 # contour labels can be placed manually by providing list of positions
 # (in data coordinate). See ginput_manual_clabel.py for interactive
 # placement.
+
 plt.figure()
 CS = plt.contour(X, Y, Z)
 manual_locations = [(-1, -1.4), (-0.62, -0.7), (-2, 0.5), (1.7, 1.2), (2.0, 1.4), (2.4, 1.7)]
@@ -50,6 +52,7 @@
 
 ###############################################################################
 # You can force all the contours to be the same color.
+
 plt.figure()
 CS = plt.contour(X, Y, Z, 6,
                  colors='k',  # negative contours will be dashed by default
@@ -59,6 +62,7 @@
 
 ###############################################################################
 # You can set negative contours to be solid instead of dashed:
+
 matplotlib.rcParams['contour.negative_linestyle'] = 'solid'
 plt.figure()
 CS = plt.contour(X, Y, Z, 6,
@@ -70,6 +74,7 @@
 
 ###############################################################################
 # And you can manually specify the colors of the contour
+
 plt.figure()
 CS = plt.contour(X, Y, Z, 6,
                  linewidths=np.arange(.5, 4, .5),
@@ -82,6 +87,7 @@
 ###############################################################################
 # Or you can use a colormap to specify the colors; the default
 # colormap will be used for the contour lines
+
 plt.figure()
 im = plt.imshow(Z, interpolation='bilinear', origin='lower',
                 cmap=cm.gray, extent=(-3, 3, -2, 2))
diff --git a/examples/images_contours_and_fields/contour_label_demo.py b/examples/images_contours_and_fields/contour_label_demo.py
@@ -20,6 +20,7 @@
 
 ###############################################################################
 # Define our surface
+
 delta = 0.025
 x = np.arange(-3.0, 3.0, delta)
 y = np.arange(-2.0, 2.0, delta)
@@ -32,6 +33,7 @@
 ###############################################################################
 # Make contour labels using creative float classes
 # Follows suggestion of Manuel Metz
+
 plt.figure()
 
 # Basic contour plot
@@ -60,8 +62,8 @@ def __repr__(self):
 plt.clabel(CS, CS.levels, inline=True, fmt=fmt, fontsize=10)
 
 ###############################################################################
-# Label contours with arbitrary strings using a
-# dictionary
+# Label contours with arbitrary strings using a dictionary
+
 plt.figure()
 
 # Basic contour plot
diff --git a/examples/images_contours_and_fields/contourf_hatching.py b/examples/images_contours_and_fields/contourf_hatching.py
@@ -18,10 +18,8 @@
 x, y = x.flatten(), y.flatten()
 
 ###############################################################################
-# ---------------------------------------------
-# |                 Plot #1                   |
-# ---------------------------------------------
-# the simplest hatched plot with a colorbar
+# Plot 1: the simplest hatched plot with a colorbar
+
 fig = plt.figure()
 cs = plt.contourf(x, y, z, hatches=['-', '/', '\\', '//'],
                   cmap=plt.get_cmap('gray'),
@@ -30,10 +28,8 @@
 plt.colorbar()
 
 ###############################################################################
-# ---------------------------------------------
-# |                 Plot #2                   |
-# ---------------------------------------------
-# a plot of hatches without color with a legend
+# Plot 2: a plot of hatches without color with a legend
+
 plt.figure()
 n_levels = 6
 plt.contour(x, y, z, n_levels, colors='black', linestyles='-')
diff --git a/examples/images_contours_and_fields/quiver_demo.py b/examples/images_contours_and_fields/quiver_demo.py
@@ -17,13 +17,15 @@
 V = np.sin(Y)
 
 ###############################################################################
+
 plt.figure()
 plt.title('Arrows scale with plot width, not view')
 Q = plt.quiver(X, Y, U, V, units='width')
 qk = plt.quiverkey(Q, 0.9, 0.9, 2, r'$2 \frac{m}{s}$', labelpos='E',
                    coordinates='figure')
 
 ###############################################################################
+
 plt.figure()
 plt.title("pivot='mid'; every third arrow; units='inches'")
 Q = plt.quiver(X[::3, ::3], Y[::3, ::3], U[::3, ::3], V[::3, ::3],
@@ -33,6 +35,7 @@
 plt.scatter(X[::3, ::3], Y[::3, ::3], color='r', s=5)
 
 ###############################################################################
+
 plt.figure()
 plt.title("pivot='tip'; scales with x view")
 M = np.hypot(U, V)
diff --git a/examples/images_contours_and_fields/tricontour_demo.py b/examples/images_contours_and_fields/tricontour_demo.py
@@ -39,6 +39,7 @@
 
 ###############################################################################
 # pcolor plot.
+
 plt.figure()
 plt.gca().set_aspect('equal')
 plt.tricontourf(triang, z)
@@ -101,6 +102,7 @@
 # arrays to tripcolor directly.  It would be better to use a Triangulation
 # object if the same triangulation was to be used more than once to save
 # duplicated calculations.
+
 plt.figure()
 plt.gca().set_aspect('equal')
 plt.tricontourf(x, y, triangles, z)
diff --git a/examples/images_contours_and_fields/tripcolor_demo.py b/examples/images_contours_and_fields/tripcolor_demo.py
@@ -39,6 +39,7 @@
 
 ###############################################################################
 # tripcolor plot.
+
 plt.figure()
 plt.gca().set_aspect('equal')
 plt.tripcolor(triang, z, shading='flat')
@@ -47,6 +48,7 @@
 
 ###############################################################################
 # Illustrate Gouraud shading.
+
 plt.figure()
 plt.gca().set_aspect('equal')
 plt.tripcolor(triang, z, shading='gouraud')
@@ -114,6 +116,7 @@
 # duplicated calculations.
 # Can specify one color value per face rather than one per point by using the
 # facecolors kwarg.
+
 plt.figure()
 plt.gca().set_aspect('equal')
 plt.tripcolor(x, y, triangles, facecolors=zfaces, edgecolors='k')
diff --git a/examples/images_contours_and_fields/triplot_demo.py b/examples/images_contours_and_fields/triplot_demo.py
@@ -38,6 +38,7 @@
 
 ###############################################################################
 # Plot the triangulation.
+
 plt.figure()
 plt.gca().set_aspect('equal')
 plt.triplot(triang, 'bo-', lw=1)
@@ -96,6 +97,7 @@
 # arrays to triplot directly.  It would be better to use a Triangulation object
 # if the same triangulation was to be used more than once to save duplicated
 # calculations.
+
 plt.figure()
 plt.gca().set_aspect('equal')
 plt.triplot(x, y, triangles, 'go-', lw=1.0)
diff --git a/examples/pylab_examples/markevery_demo.py b/examples/pylab_examples/markevery_demo.py
@@ -46,6 +46,7 @@
 
 ###############################################################################
 # Plot each markevery case for linear x and y scales
+
 fig1 = plt.figure(num=1, figsize=figsize)
 ax = []
 for i, case in enumerate(cases):
@@ -58,6 +59,7 @@
 
 ###############################################################################
 # Plot each markevery case for log x and y scales
+
 fig2 = plt.figure(num=2, figsize=figsize)
 axlog = []
 for i, case in enumerate(cases):
@@ -75,6 +77,7 @@
 # note the behaviour when zoomed in.  When a start marker offset is specified
 # it is always interpreted with respect to the first data point which might be
 # different to the first visible data point.
+
 fig3 = plt.figure(num=3, figsize=figsize)
 axzoom = []
 for i, case in enumerate(cases):
@@ -93,6 +96,7 @@
 
 ###############################################################################
 # Plot each markevery case for polar plots
+
 fig4 = plt.figure(num=4, figsize=figsize)
 axpolar = []
 for i, case in enumerate(cases):
diff --git a/examples/pylab_examples/multiple_figs_demo.py b/examples/pylab_examples/multiple_figs_demo.py
@@ -14,6 +14,7 @@
 
 ###############################################################################
 # Create figure 1
+
 plt.figure(1)
 plt.subplot(211)
 plt.plot(t, s1)
@@ -22,11 +23,13 @@
 
 ###############################################################################
 # Create figure 2
+
 plt.figure(2)
 plt.plot(t, s2)
 
 ###############################################################################
 # Now switch back to figure 1 and make some changes
+
 plt.figure(1)
 plt.subplot(211)
 plt.plot(t, s2, 's')
diff --git a/examples/pylab_examples/spine_placement_demo.py b/examples/pylab_examples/spine_placement_demo.py
@@ -10,6 +10,7 @@
 
 
 ###############################################################################
+
 fig = plt.figure()
 x = np.linspace(-np.pi, np.pi, 100)
 y = 2*np.sin(x)
diff --git a/examples/pylab_examples/zorder_demo.py b/examples/pylab_examples/zorder_demo.py
@@ -38,6 +38,7 @@
 
 ###############################################################################
 # Lines on top of scatter
+
 plt.figure()
 plt.subplot(211)
 plt.plot(x, y, 'r', lw=3)
@@ -52,6 +53,7 @@
 
 ###############################################################################
 # A new figure, with individually ordered items
+
 x = np.linspace(0, 2*np.pi, 100)
 plt.figure()
 plt.plot(x, np.sin(x), linewidth=10, color='black', label='zorder=10', zorder=10)  # on top
diff --git a/examples/pyplots/fig_axes_customize_simple.py b/examples/pyplots/fig_axes_customize_simple.py
@@ -9,6 +9,7 @@
 
 ###############################################################################
 # ``plt.figure`` creates a ```matplotlib.figure.Figure`` instance
+
 fig = plt.figure()
 rect = fig.patch # a rectangle instance
 rect.set_facecolor('lightgoldenrodyellow')
diff --git a/examples/statistics/boxplot.py b/examples/statistics/boxplot.py
@@ -27,6 +27,7 @@
 
 ###############################################################################
 # Demonstrate how to toggle the display of different elements:
+
 fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
 axes[0, 0].boxplot(data, labels=labels)
 axes[0, 0].set_title('Default', fontsize=fs)
@@ -57,6 +58,7 @@
 
 ###############################################################################
 # Demonstrate how to customize the display different elements:
+
 boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
 flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
                   linestyle='none')
diff --git a/examples/statistics/bxp.py b/examples/statistics/bxp.py
@@ -30,6 +30,7 @@
 # After we've computed the stats, we can go through and change anything.
 # Just to prove it, I'll set the median of each set to the median of all
 # the data, and double the means
+
 for n in range(len(stats)):
     stats[n]['med'] = np.median(data)
     stats[n]['mean'] *= 2
@@ -40,6 +41,7 @@
 
 ###############################################################################
 # Demonstrate how to toggle the display of different elements:
+
 fig, axes = plt.subplots(nrows=2, ncols=3, figsize=(6, 6), sharey=True)
 axes[0, 0].bxp(stats)
 axes[0, 0].set_title('Default', fontsize=fs)
@@ -69,6 +71,7 @@
 
 ###############################################################################
 # Demonstrate how to customize the display different elements:
+
 boxprops = dict(linestyle='--', linewidth=3, color='darkgoldenrod')
 flierprops = dict(marker='o', markerfacecolor='green', markersize=12,
                   linestyle='none')
