matplotlib
diff --git a/‎examples/lines_bars_and_markers/barh_demo.py
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+8-4Lines changed: 8 additions & 4 deletions b/‎examples/lines_bars_and_markers/barh_demo.py
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+8-4Lines changed: 8 additions & 4 deletions
diff --git a/‎examples/lines_bars_and_markers/fill_demo.py
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+4-2Lines changed: 4 additions & 2 deletions b/‎examples/lines_bars_and_markers/fill_demo.py
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+4-2Lines changed: 4 additions & 2 deletions
diff --git a/‎examples/lines_bars_and_markers/fill_demo_features.py
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+3-1Lines changed: 3 additions & 1 deletion b/‎examples/lines_bars_and_markers/fill_demo_features.py
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+3-1Lines changed: 3 additions & 1 deletion
diff --git a/‎examples/lines_bars_and_markers/line_demo_dash_control.py
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+9-3Lines changed: 9 additions & 3 deletions b/‎examples/lines_bars_and_markers/line_demo_dash_control.py
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+9-3Lines changed: 9 additions & 3 deletions
diff --git a/‎examples/lines_bars_and_markers/line_styles_reference.py
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+1-1Lines changed: 1 addition & 1 deletion b/‎examples/lines_bars_and_markers/line_styles_reference.py
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+1-1Lines changed: 1 addition & 1 deletion
diff --git a/‎examples/lines_bars_and_markers/scatter_with_legend.py
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+5-4Lines changed: 5 additions & 4 deletions b/‎examples/lines_bars_and_markers/scatter_with_legend.py
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+5-4Lines changed: 5 additions & 4 deletions
@@ -6,16 +6,20 @@
 
 
 plt.rcdefaults()
+fig, ax = plt.subplots()
 
 # Example data
 people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
 y_pos = np.arange(len(people))
 performance = 3 + 10 * np.random.rand(len(people))
 error = np.random.rand(len(people))
 
-plt.barh(y_pos, performance, xerr=error, align='center')
-plt.yticks(y_pos, people)
-plt.xlabel('Performance')
-plt.title('How fast do you want to go today?')
+ax.barh(y_pos, performance, xerr=error, align='center',
+        color='green', ecolor='black')
+ax.set_yticks(y_pos)
+ax.set_yticklabels(people)
+ax.invert_yaxis()  # labels read top-to-bottom
+ax.set_xlabel('Performance')
+ax.set_title('How fast do you want to go today?')
 
 plt.show()
@@ -7,6 +7,8 @@
 x = np.linspace(0, 1, 500)
 y = np.sin(4 * np.pi * x) * np.exp(-5 * x)
 
-plt.fill(x, y)
-plt.grid(True)
+fig, ax = plt.subplots()
+
+ax.fill(x, y, zorder=10)
+ax.grid(True, zorder=5)
 plt.show()
@@ -13,5 +13,7 @@
 x = np.linspace(0, 2 * np.pi, 500)
 y1 = np.sin(x)
 y2 = np.sin(3 * x)
-plt.fill(x, y1, 'b', x, y2, 'r', alpha=0.3)
+
+fig, ax = plt.subplots()
+ax.fill(x, y1, 'b', x, y2, 'r', alpha=0.3)
 plt.show()
@@ -9,9 +9,15 @@
 
 
 x = np.linspace(0, 10, 500)
-line, = plt.plot(x, np.sin(x), '--', linewidth=2)
-
 dashes = [10, 5, 100, 5]  # 10 points on, 5 off, 100 on, 5 off
-line.set_dashes(dashes)
 
+fig, ax = plt.subplots()
+line1, = ax.plot(x, np.sin(x), '--', linewidth=2,
+                 label='Dashes set retroactively')
+line1.set_dashes(dashes)
+
+line2, = ax.plot(x, -1 * np.sin(x), dashes=[30, 5, 10, 5],
+                 label='Dashes set proactively')
+
+ax.legend(loc='lower right')
 plt.show()
@@ -21,7 +21,7 @@ def nice_repr(text):
 
 
 # Plot all line styles.
-f, ax = plt.subplots()
+fig, ax = plt.subplots()
 
 linestyles = ['-', '--', '-.', ':']
 for y, linestyle in enumerate(linestyles):
 
@@ -10,14 +10,15 @@
 from numpy.random import rand
 
 
+fig, ax = plt.subplots()
 for color in ['red', 'green', 'blue']:
     n = 750
     x, y = rand(2, n)
     scale = 200.0 * rand(n)
-    plt.scatter(x, y, c=color, s=scale, label=color,
-                alpha=0.3, edgecolors='none')
+    ax.scatter(x, y, c=color, s=scale, label=color,
+               alpha=0.3, edgecolors='none')
 
-plt.legend()
-plt.grid(True)
+ax.legend()
+ax.grid(True)
 
 plt.show()