matplotlib · NelleV · Jul 29, 2017 · Jul 1, 2017 · Jul 1, 2017 · Jul 1, 2017
diff --git a/examples/pylab_examples/simple_plot.py → ...les/lines_bars_and_markers/simple_plot.py b/examples/pylab_examples/simple_plot.py → ...les/lines_bars_and_markers/simple_plot.py
@@ -10,7 +10,7 @@
 
 # Data for plotting
 t = np.arange(0.0, 2.0, 0.01)
-s = 1 + np.sin(2*np.pi*t)
+s = 1 + np.sin(2 * np.pi * t)
 
 # Note that using plt.subplots below is equivalent to using
 # fig = plt.figure and then ax = fig.add_subplot(111)

diff --git a/examples/pylab_examples/table_demo.py → examples/misc/table_demo.py b/examples/pylab_examples/table_demo.py → examples/misc/table_demo.py
@@ -9,11 +9,11 @@
 import matplotlib.pyplot as plt
 
 
-data = [[  66386,  174296,   75131,  577908,   32015],
-        [  58230,  381139,   78045,   99308,  160454],
-        [  89135,   80552,  152558,  497981,  603535],
-        [  78415,   81858,  150656,  193263,   69638],
-        [ 139361,  331509,  343164,  781380,   52269]]
+data = [[ 66386, 174296,  75131, 577908,  32015],
+        [ 58230, 381139,  78045,  99308, 160454],
+        [ 89135,  80552, 152558, 497981, 603535],
+        [ 78415,  81858, 150656, 193263,  69638],
+        [139361, 331509, 343164, 781380,  52269]]
 
 columns = ('Freeze', 'Wind', 'Flood', 'Quake', 'Hail')
 rows = ['%d year' % x for x in (100, 50, 20, 10, 5)]
@@ -36,7 +36,7 @@
 for row in range(n_rows):
     plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors[row])
     y_offset = y_offset + data[row]
-    cell_text.append(['%1.1f' % (x/1000.0) for x in y_offset])
+    cell_text.append(['%1.1f' % (x / 1000.0) for x in y_offset])
 # Reverse colors and text labels to display the last value at the top.
 colors = colors[::-1]
 cell_text.reverse()

diff --git a/examples/pylab_examples/pie_demo2.py → examples/pie_and_polar_charts/pie_demo2.py b/examples/pylab_examples/pie_demo2.py → examples/pie_and_polar_charts/pie_demo2.py
@@ -4,7 +4,8 @@
 =========
 
 Make a pie charts of varying size - see
-http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie for the docstring.
+https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.pie for the
+docstring.
 
 This example shows a basic pie charts with labels optional features,
 like autolabeling the percentage, offsetting a slice with "explode"

diff --git a/examples/pylab_examples/polar_demo.py → examples/pie_and_polar_charts/polar_demo.py b/examples/pylab_examples/polar_demo.py → examples/pie_and_polar_charts/polar_demo.py
@@ -15,8 +15,8 @@
 ax = plt.subplot(111, projection='polar')
 ax.plot(theta, r)
 ax.set_rmax(2)
-ax.set_rticks([0.5, 1, 1.5, 2])  # less radial ticks
-ax.set_rlabel_position(-22.5)  # get radial labels away from plotted line
+ax.set_rticks([0.5, 1, 1.5, 2])  # Less radial ticks
+ax.set_rlabel_position(-22.5)  # Move radial labels away from plotted line
 ax.grid(True)
 
 ax.set_title("A line plot on a polar axis", va='bottom')

diff --git a/examples/pylab_examples/polar_legend.py → ...ples/pie_and_polar_charts/polar_legend.py b/examples/pylab_examples/polar_legend.py → ...ples/pie_and_polar_charts/polar_legend.py
@@ -19,9 +19,9 @@
                   projection='polar', facecolor='#d5de9c')
 
 r = np.arange(0, 3.0, 0.01)
-theta = 2*np.pi*r
+theta = 2 * np.pi * r
 ax.plot(theta, r, color='#ee8d18', lw=3, label='a line')
-ax.plot(0.5*theta, r, color='blue', ls='--', lw=3, label='another line')
+ax.plot(0.5 * theta, r, color='blue', ls='--', lw=3, label='another line')
 ax.legend()
 
 show()
diff --git a/examples/pylab_examples/log_bar.py → examples/scales/log_bar.py b/examples/pylab_examples/log_bar.py → examples/scales/log_bar.py
@@ -3,26 +3,27 @@
 Log Bar
 =======
 
+Plotting a bar chart with a logarithmic y-axis.
 """
 import matplotlib.pyplot as plt
 import numpy as np
 
 data = ((3, 1000), (10, 3), (100, 30), (500, 800), (50, 1))
 
-plt.xlabel("FOO")
-plt.ylabel("FOO")
-plt.title("Testing")
-plt.yscale('log')
-
 dim = len(data[0])
 w = 0.75
 dimw = w / dim
 
+fig, ax = plt.subplots()
 x = np.arange(len(data))
 for i in range(len(data[0])):
     y = [d[i] for d in data]
-    b = plt.bar(x + i * dimw, y, dimw, bottom=0.001)
+    b = ax.bar(x + i * dimw, y, dimw, bottom=0.001)
+
+ax.set_xticks(x + dimw / 2, map(str, x))
+ax.set_yscale('log')
 
-plt.xticks(x + dimw / 2, map(str, x))
+ax.set_xlabel('x')
+ax.set_ylabel('y')
 
 plt.show()
diff --git a/examples/pylab_examples/log_demo.py → examples/scales/log_demo.py b/examples/pylab_examples/log_demo.py → examples/scales/log_demo.py
@@ -20,17 +20,17 @@
 fig.subplots_adjust(hspace=0.5)
 
 # log y axis
-ax1.semilogy(t, np.exp(-t/5.0))
+ax1.semilogy(t, np.exp(-t / 5.0))
 ax1.set(title='semilogy')
 ax1.grid()
 
 # log x axis
-ax2.semilogx(t, np.sin(2*np.pi*t))
+ax2.semilogx(t, np.sin(2 * np.pi * t))
 ax2.set(title='semilogx')
 ax2.grid()
 
 # log x and y axis
-ax3.loglog(t, 20*np.exp(-t/10.0), basex=2)
+ax3.loglog(t, 20 * np.exp(-t / 10.0), basex=2)
 ax3.set(title='loglog base 2 on x')
 ax3.grid()
 
@@ -42,7 +42,7 @@
 ax4.set_xscale("log", nonposx='clip')
 ax4.set_yscale("log", nonposy='clip')
 ax4.set(title='Errorbars go negative')
-ax4.errorbar(x, y, xerr=0.1*x, yerr=5.0 + 0.75*y)
+ax4.errorbar(x, y, xerr=0.1 * x, yerr=5.0 + 0.75 * y)
 # ylim must be set after errorbar to allow errorbar to autoscale limits
 ax4.set_ylim(ymin=0.1)
 

diff --git a/examples/pylab_examples/log_test.py → examples/scales/log_test.py b/examples/pylab_examples/log_test.py → examples/scales/log_test.py
diff --git a/...ples/pylab_examples/ellipse_collection.py → ...pes_and_collections/ellipse_collection.py b/...ples/pylab_examples/ellipse_collection.py → ...pes_and_collections/ellipse_collection.py
@@ -14,9 +14,9 @@
 
 XY = np.hstack((X.ravel()[:, np.newaxis], Y.ravel()[:, np.newaxis]))
 
-ww = X/10.0
-hh = Y/15.0
-aa = X*9
+ww = X / 10.0
+hh = Y / 15.0
+aa = X * 9
 
 
 fig, ax = plt.subplots()

diff --git a/examples/pylab_examples/ellipse_demo.py → ...es/shapes_and_collections/ellipse_demo.py b/examples/pylab_examples/ellipse_demo.py → ...es/shapes_and_collections/ellipse_demo.py
@@ -10,9 +10,9 @@
 
 NUM = 250
 
-ells = [Ellipse(xy=np.random.rand(2)*10,
+ells = [Ellipse(xy=np.random.rand(2) * 10,
                 width=np.random.rand(), height=np.random.rand(),
-                angle=np.random.rand()*360)
+                angle=np.random.rand() * 360)
         for i in range(NUM)]
 
 fig, ax = plt.subplots(subplot_kw={'aspect': 'equal'})

diff --git a/examples/pylab_examples/ellipse_rotated.py → ...shapes_and_collections/ellipse_rotated.py b/examples/pylab_examples/ellipse_rotated.py → ...shapes_and_collections/ellipse_rotated.py
diff --git a/examples/pylab_examples/fancybox_demo.py → ...s/shapes_and_collections/fancybox_demo.py b/examples/pylab_examples/fancybox_demo.py → ...s/shapes_and_collections/fancybox_demo.py
@@ -20,7 +20,7 @@
 spacing = 1.2
 
 figheight = (spacing * len(styles) + .5)
-fig1 = plt.figure(1, (4/1.5, figheight/1.5))
+fig1 = plt.figure(1, (4 / 1.5, figheight / 1.5))
 fontsize = 0.3 * 72
 
 for i, stylename in enumerate(sorted(styles)):
@@ -65,8 +65,8 @@ def test1(ax):
             size=10, transform=ax.transAxes)
 
     # draws control points for the fancy box.
-    #l = p_fancy.get_path().vertices
-    #ax.plot(l[:,0], l[:,1], ".")
+    # l = p_fancy.get_path().vertices
+    # ax.plot(l[:,0], l[:,1], ".")
 
     # draw the original bbox in black
     draw_bbox(ax, bb)
@@ -90,15 +90,15 @@ def test2(ax):
 
     p_fancy.set_boxstyle("round,pad=0.1, rounding_size=0.2")
     # or
-    #p_fancy.set_boxstyle("round", pad=0.1, rounding_size=0.2)
+    # p_fancy.set_boxstyle("round", pad=0.1, rounding_size=0.2)
 
     ax.text(0.1, 0.8,
             ' boxstyle="round,pad=0.1\n rounding_size=0.2"',
             size=10, transform=ax.transAxes)
 
     # draws control points for the fancy box.
-    #l = p_fancy.get_path().vertices
-    #ax.plot(l[:,0], l[:,1], ".")
+    # l = p_fancy.get_path().vertices
+    # ax.plot(l[:,0], l[:,1], ".")
 
     draw_bbox(ax, bb)
 
@@ -122,8 +122,8 @@ def test3(ax):
             size=10, transform=ax.transAxes)
 
     # draws control points for the fancy box.
-    #l = p_fancy.get_path().vertices
-    #ax.plot(l[:,0], l[:,1], ".")
+    # l = p_fancy.get_path().vertices
+    # ax.plot(l[:,0], l[:,1], ".")
 
     draw_bbox(ax, bb)
 
@@ -192,4 +192,5 @@ def test_all():
     plt.draw()
     plt.show()
 
+
 test_all()
diff --git a/...s/pylab_examples/leftventricle_bulleye.py → .../specialty_plots/leftventricle_bulleye.py b/...s/pylab_examples/leftventricle_bulleye.py → .../specialty_plots/leftventricle_bulleye.py
@@ -54,7 +54,7 @@ def bullseye_plot(ax, data, segBold=None, cmap=None, norm=None):
     if norm is None:
         norm = mpl.colors.Normalize(vmin=data.min(), vmax=data.max())
 
-    theta = np.linspace(0, 2*np.pi, 768)
+    theta = np.linspace(0, 2 * np.pi, 768)
     r = np.linspace(0.2, 1, 4)
 
     # Create the bound for the segment 17
@@ -76,52 +76,52 @@ def bullseye_plot(ax, data, segBold=None, cmap=None, norm=None):
     r0 = np.repeat(r0[:, np.newaxis], 128, axis=1).T
     for i in range(6):
         # First segment start at 60 degrees
-        theta0 = theta[i*128:i*128+128] + np.deg2rad(60)
+        theta0 = theta[i * 128:i * 128 + 128] + np.deg2rad(60)
         theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
-        z = np.ones((128, 2))*data[i]
+        z = np.ones((128, 2)) * data[i]
         ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
-        if i+1 in segBold:
-            ax.plot(theta0, r0, '-k', lw=linewidth+2)
-            ax.plot(theta0[0], [r[2], r[3]], '-k', lw=linewidth+1)
-            ax.plot(theta0[-1], [r[2], r[3]], '-k', lw=linewidth+1)
+        if i + 1 in segBold:
+            ax.plot(theta0, r0, '-k', lw=linewidth + 2)
+            ax.plot(theta0[0], [r[2], r[3]], '-k', lw=linewidth + 1)
+            ax.plot(theta0[-1], [r[2], r[3]], '-k', lw=linewidth + 1)
 
     # Fill the segments 7-12
     r0 = r[1:3]
     r0 = np.repeat(r0[:, np.newaxis], 128, axis=1).T
     for i in range(6):
         # First segment start at 60 degrees
-        theta0 = theta[i*128:i*128+128] + np.deg2rad(60)
+        theta0 = theta[i * 128:i * 128 + 128] + np.deg2rad(60)
         theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
-        z = np.ones((128, 2))*data[i+6]
+        z = np.ones((128, 2)) * data[i + 6]
         ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
-        if i+7 in segBold:
-            ax.plot(theta0, r0, '-k', lw=linewidth+2)
-            ax.plot(theta0[0], [r[1], r[2]], '-k', lw=linewidth+1)
-            ax.plot(theta0[-1], [r[1], r[2]], '-k', lw=linewidth+1)
+        if i + 7 in segBold:
+            ax.plot(theta0, r0, '-k', lw=linewidth + 2)
+            ax.plot(theta0[0], [r[1], r[2]], '-k', lw=linewidth + 1)
+            ax.plot(theta0[-1], [r[1], r[2]], '-k', lw=linewidth + 1)
 
     # Fill the segments 13-16
     r0 = r[0:2]
     r0 = np.repeat(r0[:, np.newaxis], 192, axis=1).T
     for i in range(4):
         # First segment start at 45 degrees
-        theta0 = theta[i*192:i*192+192] + np.deg2rad(45)
+        theta0 = theta[i * 192:i * 192 + 192] + np.deg2rad(45)
         theta0 = np.repeat(theta0[:, np.newaxis], 2, axis=1)
-        z = np.ones((192, 2))*data[i+12]
+        z = np.ones((192, 2)) * data[i + 12]
         ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
-        if i+13 in segBold:
-            ax.plot(theta0, r0, '-k', lw=linewidth+2)
-            ax.plot(theta0[0], [r[0], r[1]], '-k', lw=linewidth+1)
-            ax.plot(theta0[-1], [r[0], r[1]], '-k', lw=linewidth+1)
+        if i + 13 in segBold:
+            ax.plot(theta0, r0, '-k', lw=linewidth + 2)
+            ax.plot(theta0[0], [r[0], r[1]], '-k', lw=linewidth + 1)
+            ax.plot(theta0[-1], [r[0], r[1]], '-k', lw=linewidth + 1)
 
     # Fill the segments 17
     if data.size == 17:
         r0 = np.array([0, r[0]])
         r0 = np.repeat(r0[:, np.newaxis], theta.size, axis=1).T
         theta0 = np.repeat(theta[:, np.newaxis], 2, axis=1)
-        z = np.ones((theta.size, 2))*data[16]
+        z = np.ones((theta.size, 2)) * data[16]
         ax.pcolormesh(theta0, r0, z, cmap=cmap, norm=norm)
         if 17 in segBold:
-            ax.plot(theta0, r0, '-k', lw=linewidth+2)
+            ax.plot(theta0, r0, '-k', lw=linewidth + 2)
 
     ax.set_ylim([0, 1])
     ax.set_yticklabels([])
@@ -188,7 +188,7 @@ def bullseye_plot(ax, data, segBold=None, cmap=None, norm=None):
 cb3 = mpl.colorbar.ColorbarBase(axl3, cmap=cmap3, norm=norm3,
                                 # to use 'extend', you must
                                 # specify two extra boundaries:
-                                boundaries=[0]+bounds+[18],
+                                boundaries=[0] + bounds + [18],
                                 extend='both',
                                 ticks=bounds,  # optional
                                 spacing='proportional',

diff --git a/examples/pylab_examples/mri_demo.py → examples/specialty_plots/mri_demo.py b/examples/pylab_examples/mri_demo.py → examples/specialty_plots/mri_demo.py
diff --git a/examples/pylab_examples/mri_with_eeg.py → examples/specialty_plots/mri_with_eeg.py b/examples/pylab_examples/mri_with_eeg.py → examples/specialty_plots/mri_with_eeg.py
diff --git a/examples/pylab_examples/figlegend_demo.py → ..._labels_and_annotations/figlegend_demo.py b/examples/pylab_examples/figlegend_demo.py → ..._labels_and_annotations/figlegend_demo.py
@@ -13,12 +13,12 @@
 fig, axs = plt.subplots(1, 2)
 
 x = np.arange(0.0, 2.0, 0.02)
-y1 = np.sin(2*np.pi*x)
+y1 = np.sin(2 * np.pi * x)
 y2 = np.exp(-x)
 l1, l2 = axs[0].plot(x, y1, 'rs-', x, y2, 'go')
 
-y3 = np.sin(4*np.pi*x)
-y4 = np.exp(-2*x)
+y3 = np.sin(4 * np.pi * x)
+y4 = np.exp(-2 * x)
 l3, l4 = axs[1].plot(x, y3, 'yd-', x, y4, 'k^')
 
 fig.legend((l1, l2), ('Line 1', 'Line 2'), 'upper left')

diff --git a/...ples/pylab_examples/usetex_fonteffects.py → ...els_and_annotations/usetex_fonteffects.py b/...ples/pylab_examples/usetex_fonteffects.py → ...els_and_annotations/usetex_fonteffects.py
@@ -15,8 +15,10 @@
 def setfont(font):
     return r'\font\a %s at 14pt\a ' % font
 
+
 for y, font, text in zip(range(5),
-                         ['ptmr8r', 'ptmri8r', 'ptmro8r', 'ptmr8rn', 'ptmrr8re'],
+                         ['ptmr8r', 'ptmri8r', 'ptmro8r',
+                          'ptmr8rn', 'ptmrr8re'],
                          ['Nimbus Roman No9 L ' + x for x in
                           ['', 'Italics (real italics for comparison)',
                            '(slanted)', '(condensed)', '(extended)']]):

diff --git a/examples/pylab_examples/major_minor_demo.py → ...ples/ticks_and_spines/major_minor_demo.py b/examples/pylab_examples/major_minor_demo.py → ...ples/ticks_and_spines/major_minor_demo.py
@@ -44,7 +44,7 @@
 
 
 t = np.arange(0.0, 100.0, 0.1)
-s = np.sin(0.1*np.pi*t)*np.exp(-t*0.01)
+s = np.sin(0.1 * np.pi * t) * np.exp(-t * 0.01)
 
 fig, ax = plt.subplots()
 ax.plot(t, s)
@@ -73,7 +73,7 @@
 
 
 t = np.arange(0.0, 100.0, 0.01)
-s = np.sin(2*np.pi*t)*np.exp(-t*0.01)
+s = np.sin(2 * np.pi * t) * np.exp(-t * 0.01)
 
 fig, ax = plt.subplots()
 ax.plot(t, s)

diff --git a/lib/matplotlib/ticker.py b/lib/matplotlib/ticker.py
@@ -163,7 +163,7 @@
   ax.yaxis.set_major_formatter( ymajorFormatter )
   ax.yaxis.set_minor_formatter( yminorFormatter )
 
-See :ref:`sphx_glr_gallery_pylab_examples_major_minor_demo.py` for an
+See :ref:`sphx_glr_gallery_ticks_and_spines_major_minor_demo.py` for an
 example of setting major and minor ticks. See the :mod:`matplotlib.dates`
 module for more information and examples of using date locators and formatters.
 """

diff --git a/pytest.ini b/pytest.ini
@@ -115,7 +115,7 @@ pep8ignore =
     tutorials/* E402 E501
 
     *examples/* E501 E402
-    *examples/pylab_examples/table_demo.py E201
+    *examples/misc/table_demo.py E201
     *examples/images_contours_and_fields/tricontour_demo.py E201
     *examples/images_contours_and_fields/tripcolor_demo.py E201
     *examples/images_contours_and_fields/triplot_demo.py E201