Merge pull request matplotlib#12940 from QuLogic/showcase-pyplot

Avoid pyplot in showcase examples.

Author: jklymak

examples/showcase/bachelors_degrees_by_gender.py

@@ -19,17 +19,18 @@
                         asfileobj=False)
 gender_degree_data = np.genfromtxt(fname, delimiter=',', names=True)
 
-# These are the colors that will be used in the plot
-color_sequence = ['#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c',
-                  '#98df8a', '#d62728', '#ff9896', '#9467bd', '#c5b0d5',
-                  '#8c564b', '#c49c94', '#e377c2', '#f7b6d2', '#7f7f7f',
-                  '#c7c7c7', '#bcbd22', '#dbdb8d', '#17becf', '#9edae5']
-
 # You typically want your plot to be ~1.33x wider than tall. This plot
 # is a rare exception because of the number of lines being plotted on it.
 # Common sizes: (10, 7.5) and (12, 9)
 fig, ax = plt.subplots(1, 1, figsize=(12, 14))
 
+# These are the colors that will be used in the plot
+ax.set_prop_cycle(color=[
+    '#1f77b4', '#aec7e8', '#ff7f0e', '#ffbb78', '#2ca02c', '#98df8a',
+    '#d62728', '#ff9896', '#9467bd', '#c5b0d5', '#8c564b', '#c49c94',
+    '#e377c2', '#f7b6d2', '#7f7f7f', '#c7c7c7', '#bcbd22', '#dbdb8d',
+    '#17becf', '#9edae5'])
+
 # Remove the plot frame lines. They are unnecessary here.
 ax.spines['top'].set_visible(False)
 ax.spines['bottom'].set_visible(False)
@@ -47,22 +48,23 @@
 ax.set_xlim(1969.5, 2011.1)
 ax.set_ylim(-0.25, 90)
 
-# Make sure your axis ticks are large enough to be easily read.
-# You don't want your viewers squinting to read your plot.
-plt.xticks(range(1970, 2011, 10), fontsize=14)
-plt.yticks(range(0, 91, 10), fontsize=14)
+# Set a fixed location and format for ticks.
+ax.set_xticks(range(1970, 2011, 10))
+ax.set_yticks(range(0, 91, 10))
 ax.xaxis.set_major_formatter(plt.FuncFormatter('{:.0f}'.format))
 ax.yaxis.set_major_formatter(plt.FuncFormatter('{:.0f}%'.format))
 
 # Provide tick lines across the plot to help your viewers trace along
 # the axis ticks. Make sure that the lines are light and small so they
 # don't obscure the primary data lines.
-plt.grid(True, 'major', 'y', ls='--', lw=.5, c='k', alpha=.3)
+ax.grid(True, 'major', 'y', ls='--', lw=.5, c='k', alpha=.3)
 
 # Remove the tick marks; they are unnecessary with the tick lines we just
-# plotted.
-plt.tick_params(axis='both', which='both', bottom=False, top=False,
-                labelbottom=True, left=False, right=False, labelleft=True)
+# plotted. Make sure your axis ticks are large enough to be easily read.
+# You don't want your viewers squinting to read your plot.
+ax.tick_params(axis='both', which='both', labelsize=14,
+               bottom=False, top=False, labelbottom=True,
+               left=False, right=False, labelleft=True)
 
 # Now that the plot is prepared, it's time to actually plot the data!
 # Note that I plotted the majors in order of the highest % in the final year.
@@ -80,14 +82,12 @@
              'Math and Statistics': 0.75, 'Architecture': -0.75,
              'Computer Science': 0.75, 'Engineering': -0.25}
 
-for rank, column in enumerate(majors):
+for column in majors:
     # Plot each line separately with its own color.
     column_rec_name = column.replace('\n', '_').replace(' ', '_')
 
-    line = plt.plot(gender_degree_data['Year'],
-                    gender_degree_data[column_rec_name],
-                    lw=2.5,
-                    color=color_sequence[rank])
+    line, = ax.plot('Year', column_rec_name, data=gender_degree_data,
+                    lw=2.5)
 
     # Add a text label to the right end of every line. Most of the code below
     # is adding specific offsets y position because some labels overlapped.
@@ -98,7 +98,7 @@
 
     # Again, make sure that all labels are large enough to be easily read
     # by the viewer.
-    plt.text(2011.5, y_pos, column, fontsize=14, color=color_sequence[rank])
+    ax.text(2011.5, y_pos, column, fontsize=14, color=line.get_color())
 
 # Make the title big enough so it spans the entire plot, but don't make it
 # so big that it requires two lines to show.
@@ -111,5 +111,5 @@
 # Finally, save the figure as a PNG.
 # You can also save it as a PDF, JPEG, etc.
 # Just change the file extension in this call.
-# plt.savefig('percent-bachelors-degrees-women-usa.png', bbox_inches='tight')
+# fig.savefig('percent-bachelors-degrees-women-usa.png', bbox_inches='tight')
 plt.show()

examples/showcase/integral.py

@@ -26,8 +26,8 @@ def func(x):
 y = func(x)
 
 fig, ax = plt.subplots()
-plt.plot(x, y, 'r', linewidth=2)
-plt.ylim(ymin=0)
+ax.plot(x, y, 'r', linewidth=2)
+ax.set_ylim(bottom=0)
 
 # Make the shaded region
 ix = np.linspace(a, b)
@@ -36,11 +36,11 @@ def func(x):
 poly = Polygon(verts, facecolor='0.9', edgecolor='0.5')
 ax.add_patch(poly)
 
-plt.text(0.5 * (a + b), 30, r"$\int_a^b f(x)\mathrm{d}x$",
-         horizontalalignment='center', fontsize=20)
+ax.text(0.5 * (a + b), 30, r"$\int_a^b f(x)\mathrm{d}x$",
+        horizontalalignment='center', fontsize=20)
 
-plt.figtext(0.9, 0.05, '$x$')
-plt.figtext(0.1, 0.9, '$y$')
+fig.text(0.9, 0.05, '$x$')
+fig.text(0.1, 0.9, '$y$')
 
 ax.spines['right'].set_visible(False)
 ax.spines['top'].set_visible(False)

examples/showcase/mandelbrot.py

@@ -61,7 +61,7 @@ def mandelbrot_set(xmin, xmax, ymin, ymax, xn, yn, maxiter, horizon=2.0):
     light = colors.LightSource(azdeg=315, altdeg=10)
     M = light.shade(M, cmap=plt.cm.hot, vert_exag=1.5,
                     norm=colors.PowerNorm(0.3), blend_mode='hsv')
-    plt.imshow(M, extent=[xmin, xmax, ymin, ymax], interpolation="bicubic")
+    ax.imshow(M, extent=[xmin, xmax, ymin, ymax], interpolation="bicubic")
     ax.set_xticks([])
     ax.set_yticks([])
 

examples/showcase/xkcd.py

@@ -12,27 +12,27 @@
 
 with plt.xkcd():
     # Based on "Stove Ownership" from XKCD by Randall Munroe
-    # http://xkcd.com/418/
+    # https://xkcd.com/418/
 
     fig = plt.figure()
     ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
     ax.spines['right'].set_color('none')
     ax.spines['top'].set_color('none')
-    plt.xticks([])
-    plt.yticks([])
+    ax.set_xticks([])
+    ax.set_yticks([])
     ax.set_ylim([-30, 10])
 
     data = np.ones(100)
     data[70:] -= np.arange(30)
 
-    plt.annotate(
+    ax.annotate(
         'THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED',
         xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))
 
-    plt.plot(data)
+    ax.plot(data)
 
-    plt.xlabel('time')
-    plt.ylabel('my overall health')
+    ax.set_xlabel('time')
+    ax.set_ylabel('my overall health')
     fig.text(
         0.5, 0.05,
         '"Stove Ownership" from xkcd by Randall Munroe',
@@ -42,7 +42,7 @@
 
 with plt.xkcd():
     # Based on "The Data So Far" from XKCD by Randall Munroe
-    # http://xkcd.com/373/
+    # https://xkcd.com/373/
 
     fig = plt.figure()
     ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
@@ -51,12 +51,12 @@
     ax.spines['top'].set_color('none')
     ax.xaxis.set_ticks_position('bottom')
     ax.set_xticks([0, 1])
+    ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
     ax.set_xlim([-0.5, 1.5])
+    ax.set_yticks([])
     ax.set_ylim([0, 110])
-    ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
-    plt.yticks([])
 
-    plt.title("CLAIMS OF SUPERNATURAL POWERS")
+    ax.set_title("CLAIMS OF SUPERNATURAL POWERS")
 
     fig.text(
         0.5, 0.05,