matplotlib
diff --git a/‎examples/pylab_examples/arctest.py renamed to ‎examples/lines_bars_and_markers/arctest.py
Lines changed: 3 additions & 3 deletions b/‎examples/pylab_examples/arctest.py renamed to ‎examples/lines_bars_and_markers/arctest.py
Lines changed: 3 additions & 3 deletions
diff --git a/‎examples/pylab_examples/bar_stacked.py renamed to ‎examples/lines_bars_and_markers/bar_stacked.py
Lines changed: 1 addition & 1 deletion b/‎examples/pylab_examples/bar_stacked.py renamed to ‎examples/lines_bars_and_markers/bar_stacked.py
Lines changed: 1 addition & 1 deletion
diff --git a/‎examples/pylab_examples/axhspan_demo.py
Lines changed: 0 additions & 39 deletions b/‎examples/pylab_examples/axhspan_demo.py
Lines changed: 0 additions & 39 deletions
diff --git a/‎examples/pylab_examples/anscombe.py renamed to ‎examples/specialty_plots/anscombe.py
Lines changed: 5 additions & 3 deletions b/‎examples/pylab_examples/anscombe.py renamed to ‎examples/specialty_plots/anscombe.py
Lines changed: 5 additions & 3 deletions
diff --git a/‎examples/pylab_examples/axes_demo.py renamed to ‎examples/subplots_axes_and_figures/axes_demo.py
Lines changed: 4 additions & 4 deletions b/‎examples/pylab_examples/axes_demo.py renamed to ‎examples/subplots_axes_and_figures/axes_demo.py
Lines changed: 4 additions & 4 deletions
diff --git a/‎examples/pylab_examples/axes_props.py renamed to ‎examples/subplots_axes_and_figures/axes_props.py b/‎examples/pylab_examples/axes_props.py renamed to ‎examples/subplots_axes_and_figures/axes_props.py
diff --git a/‎examples/pylab_examples/axes_zoom_effect.py renamed to ‎examples/subplots_axes_and_figures/axes_zoom_effect.py
Lines changed: 1 addition & 1 deletion b/‎examples/pylab_examples/axes_zoom_effect.py renamed to ‎examples/subplots_axes_and_figures/axes_zoom_effect.py
Lines changed: 1 addition & 1 deletion
diff --git a/‎examples/subplots_axes_and_figures/axhspan_demo.py
Lines changed: 39 additions & 0 deletions b/‎examples/subplots_axes_and_figures/axhspan_demo.py
Lines changed: 39 additions & 0 deletions
diff --git a/‎examples/pylab_examples/axis_equal_demo.py renamed to ‎examples/subplots_axes_and_figures/axis_equal_demo.py
Lines changed: 5 additions & 5 deletions b/‎examples/pylab_examples/axis_equal_demo.py renamed to ‎examples/subplots_axes_and_figures/axis_equal_demo.py
Lines changed: 5 additions & 5 deletions
diff --git a/‎examples/pylab_examples/broken_axis.py renamed to ‎examples/subplots_axes_and_figures/broken_axis.py b/‎examples/pylab_examples/broken_axis.py renamed to ‎examples/subplots_axes_and_figures/broken_axis.py
diff --git a/‎examples/pylab_examples/figure_title.py renamed to ‎examples/subplots_axes_and_figures/figure_title.py b/‎examples/pylab_examples/figure_title.py renamed to ‎examples/subplots_axes_and_figures/figure_title.py
diff --git a/‎examples/pylab_examples/invert_axes.py renamed to ‎examples/subplots_axes_and_figures/invert_axes.py b/‎examples/pylab_examples/invert_axes.py renamed to ‎examples/subplots_axes_and_figures/invert_axes.py
@@ -9,16 +9,16 @@
 
 
 def f(t):
-    'a damped exponential'
+    'A damped exponential'
     s1 = np.cos(2 * np.pi * t)
     e1 = np.exp(-t)
     return s1 * e1
 
-t1 = np.arange(0.0, 5.0, .2)
 
+t1 = np.arange(0.0, 5.0, .2)
 
 l = plt.plot(t1, f(t1), 'ro')
 plt.setp(l, 'markersize', 30)
-plt.setp(l, 'markerfacecolor', 'b')
+plt.setp(l, 'markerfacecolor', 'C0')
 
 plt.show()
@@ -22,7 +22,7 @@
 ind = np.arange(N)    # the x locations for the groups
 width = 0.35       # the width of the bars: can also be len(x) sequence
 
-p1 = plt.bar(ind, menMeans, width, color='#d62728', yerr=menStd)
+p1 = plt.bar(ind, menMeans, width, yerr=menStd)
 p2 = plt.bar(ind, womenMeans, width,
              bottom=menMeans, yerr=womenStd)
 
 
@@ -25,7 +25,7 @@
 
 
 def fit(x):
-    return 3 + 0.5*x
+    return 3 + 0.5 * x
 
 
 xfit = np.array([np.min(x), np.max(x)])
@@ -39,7 +39,8 @@ def fit(x):
 plt.subplot(222)
 plt.plot(x, y2, 'ks', xfit, fit(xfit), 'r-', lw=2)
 plt.axis([2, 20, 2, 14])
-plt.setp(plt.gca(), xticklabels=[], yticks=(4, 8, 12), yticklabels=[], xticks=(0, 10, 20))
+plt.setp(plt.gca(), xticks=(0, 10, 20), xticklabels=[],
+         yticks=(4, 8, 12), yticklabels=[], )
 plt.text(3, 12, 'II', fontsize=20)
 
 plt.subplot(223)
@@ -58,6 +59,7 @@ def fit(x):
 # verify the stats
 pairs = (x, y1), (x, y2), (x, y3), (x4, y4)
 for x, y in pairs:
-    print('mean=%1.2f, std=%1.2f, r=%1.2f' % (np.mean(y), np.std(y), np.corrcoef(x, y)[0][1]))
+    print('mean=%1.2f, std=%1.2f, r=%1.2f' % (np.mean(y), np.std(y),
+          np.corrcoef(x, y)[0][1]))
 
 plt.show()
@@ -15,9 +15,9 @@
 # create some data to use for the plot
 dt = 0.001
 t = np.arange(0.0, 10.0, dt)
-r = np.exp(-t[:1000]/0.05)               # impulse response
+r = np.exp(-t[:1000] / 0.05)               # impulse response
 x = np.random.randn(len(t))
-s = np.convolve(x, r)[:len(x)]*dt  # colored noise
+s = np.convolve(x, r)[:len(x)] * dt  # colored noise
 
 # the main axes is subplot(111) by default
 plt.plot(t, s)
@@ -27,14 +27,14 @@
 plt.title('Gaussian colored noise')
 
 # this is an inset axes over the main axes
-a = plt.axes([.65, .6, .2, .2], facecolor='y')
+a = plt.axes([.65, .6, .2, .2], facecolor='k')
 n, bins, patches = plt.hist(s, 400, normed=1)
 plt.title('Probability')
 plt.xticks([])
 plt.yticks([])
 
 # this is another inset axes over the main axes
-a = plt.axes([0.2, 0.6, .2, .2], facecolor='y')
+a = plt.axes([0.2, 0.6, .2, .2], facecolor='k')
 plt.plot(t[:len(r)], r)
 plt.title('Impulse response')
 plt.xlim(0, 0.2)
 
@@ -16,7 +16,7 @@ def connect_bbox(bbox1, bbox2,
                  prop_lines, prop_patches=None):
     if prop_patches is None:
         prop_patches = prop_lines.copy()
-        prop_patches["alpha"] = prop_patches.get("alpha", 1)*0.2
+        prop_patches["alpha"] = prop_patches.get("alpha", 1) * 0.2
 
     c1 = BboxConnector(bbox1, bbox2, loc1=loc1a, loc2=loc2a, **prop_lines)
     c1.set_clip_on(False)
 
@@ -0,0 +1,39 @@
+"""
+============
+Axhspan Demo
+============
+
+Create lines or rectangles that span the axes in either the horizontal or
+vertical direction.
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+
+t = np.arange(-1, 2, .01)
+s = np.sin(2 * np.pi * t)
+
+plt.plot(t, s)
+# Draw a thick red hline at y=0 that spans the xrange
+plt.axhline(linewidth=8, color='#d62728')
+
+# Draw a default hline at y=1 that spans the xrange
+plt.axhline(y=1)
+
+# Draw a default vline at x=1 that spans the yrange
+plt.axvline(x=1)
+
+# Draw a thick blue vline at x=0 that spans the upper quadrant of
+# the yrange
+plt.axvline(x=0, ymin=0.75, linewidth=8, color='#1f77b4')
+
+# Draw a default hline at y=.5 that spans the middle half of
+# the axes
+plt.axhline(y=.5, xmin=0.25, xmax=0.75)
+
+plt.axhspan(0.25, 0.75, facecolor='0.5', alpha=0.5)
+
+plt.axvspan(1.25, 1.55, facecolor='#2ca02c', alpha=0.5)
+
+plt.axis([-1, 2, -1, 2])
+
+plt.show()
@@ -11,22 +11,22 @@
 
 # Plot circle of radius 3.
 
-an = np.linspace(0, 2*np.pi, 100)
+an = np.linspace(0, 2 * np.pi, 100)
 fig, axs = plt.subplots(2, 2)
 
-axs[0, 0].plot(3*np.cos(an), 3*np.sin(an))
+axs[0, 0].plot(3 * np.cos(an), 3 * np.sin(an))
 axs[0, 0].set_title('not equal, looks like ellipse', fontsize=10)
 
-axs[0, 1].plot(3*np.cos(an), 3*np.sin(an))
+axs[0, 1].plot(3 * np.cos(an), 3 * np.sin(an))
 axs[0, 1].axis('equal')
 axs[0, 1].set_title('equal, looks like circle', fontsize=10)
 
-axs[1, 0].plot(3*np.cos(an), 3*np.sin(an))
+axs[1, 0].plot(3 * np.cos(an), 3 * np.sin(an))
 axs[1, 0].axis('equal')
 axs[1, 0].axis([-3, 3, -3, 3])
 axs[1, 0].set_title('still a circle, even after changing limits', fontsize=10)
 
-axs[1, 1].plot(3*np.cos(an), 3*np.sin(an))
+axs[1, 1].plot(3 * np.cos(an), 3 * np.sin(an))
 axs[1, 1].set_aspect('equal', 'box')
 axs[1, 1].set_title('still a circle, auto-adjusted data limits', fontsize=10)