matplotlib · timhoffm · Jan 5, 2019 · Dec 29, 2018 · Dec 29, 2018 · Dec 29, 2018
diff --git a/examples/lines_bars_and_markers/barh.py b/examples/lines_bars_and_markers/barh.py
@@ -21,8 +21,7 @@
 performance = 3 + 10 * np.random.rand(len(people))
 error = np.random.rand(len(people))
 
-ax.barh(y_pos, performance, xerr=error, align='center',
-        color='green', ecolor='black')
+ax.barh(y_pos, performance, xerr=error, align='center')
 ax.set_yticks(y_pos)
 ax.set_yticklabels(people)
 ax.invert_yaxis()  # labels read top-to-bottom

diff --git a/examples/lines_bars_and_markers/broken_barh.py b/examples/lines_bars_and_markers/broken_barh.py
@@ -8,9 +8,9 @@
 import matplotlib.pyplot as plt
 
 fig, ax = plt.subplots()
-ax.broken_barh([(110, 30), (150, 10)], (10, 9), facecolors='blue')
+ax.broken_barh([(110, 30), (150, 10)], (10, 9), facecolors='tab:blue')
 ax.broken_barh([(10, 50), (100, 20), (130, 10)], (20, 9),
-               facecolors=('red', 'yellow', 'green'))
+               facecolors=('tab:orange', 'tab:green', 'tab:red'))
 ax.set_ylim(5, 35)
 ax.set_xlim(0, 200)
 ax.set_xlabel('seconds since start')

diff --git a/examples/lines_bars_and_markers/eventcollection_demo.py b/examples/lines_bars_and_markers/eventcollection_demo.py
@@ -32,16 +32,17 @@
 # plot the data
 fig = plt.figure()
 ax = fig.add_subplot(1, 1, 1)
-ax.plot(xdata1, ydata1, 'r', xdata2, ydata2, 'b')
+ax.plot(xdata1, ydata1, color='tab:blue')
+ax.plot(xdata2, ydata2, color='tab:orange')
 
 # create the events marking the x data points
-xevents1 = EventCollection(xdata1, color=[1, 0, 0], linelength=0.05)
-xevents2 = EventCollection(xdata2, color=[0, 0, 1], linelength=0.05)
+xevents1 = EventCollection(xdata1, color='tab:blue', linelength=0.05)
+xevents2 = EventCollection(xdata2, color='tab:orange', linelength=0.05)
 
 # create the events marking the y data points
-yevents1 = EventCollection(ydata1, color=[1, 0, 0], linelength=0.05,
+yevents1 = EventCollection(ydata1, color='tab:blue', linelength=0.05,
                            orientation='vertical')
-yevents2 = EventCollection(ydata2, color=[0, 0, 1], linelength=0.05,
+yevents2 = EventCollection(ydata2, color='tab:orange', linelength=0.05,
                            orientation='vertical')
 
 # add the events to the axis

diff --git a/examples/lines_bars_and_markers/eventplot_demo.py b/examples/lines_bars_and_markers/eventplot_demo.py
@@ -20,12 +20,7 @@
 data1 = np.random.random([6, 50])
 
 # set different colors for each set of positions
-colors1 = np.array([[1, 0, 0],
-                    [0, 1, 0],
-                    [0, 0, 1],
-                    [1, 1, 0],
-                    [1, 0, 1],
-                    [0, 1, 1]])
+colors1 = ['C{}'.format(i) for i in range(6)]
 
 # set different line properties for each set of positions
 # note that some overlap
@@ -49,7 +44,7 @@
 # use individual values for the parameters this time
 # these values will be used for all data sets (except lineoffsets2, which
 # sets the increment between each data set in this usage)
-colors2 = [[0, 0, 0]]
+colors2 = 'black'
 lineoffsets2 = 1
 linelengths2 = 1
 

diff --git a/examples/lines_bars_and_markers/joinstyle.py b/examples/lines_bars_and_markers/joinstyle.py
@@ -14,12 +14,13 @@ def plot_angle(ax, x, y, angle, style):
     phi = np.radians(angle)
     xx = [x + .5, x, x + .5*np.cos(phi)]
     yy = [y, y, y + .5*np.sin(phi)]
-    ax.plot(xx, yy, lw=8, color='blue', solid_joinstyle=style)
+    ax.plot(xx, yy, lw=8, color='tab:blue', solid_joinstyle=style)
     ax.plot(xx[1:], yy[1:], lw=1, color='black')
     ax.plot(xx[1::-1], yy[1::-1], lw=1, color='black')
-    ax.plot(xx[1:2], yy[1:2], 'o', color='red', markersize=3)
+    ax.plot(xx[1:2], yy[1:2], 'o', color='tab:red', markersize=3)
     ax.text(x, y + .2, '%.0f degrees' % angle)
 
+
 fig, ax = plt.subplots()
 ax.set_title('Join style')
 

diff --git a/examples/lines_bars_and_markers/markevery_prop_cycle.py b/examples/lines_bars_and_markers/markevery_prop_cycle.py
@@ -1,7 +1,7 @@
 """
-=================================================================
-Implemented support for prop_cycle property markevery in rcParams
-=================================================================
+=========================================
+prop_cycle property markevery in rcParams
+=========================================
 
 This example demonstrates a working solution to issue #8576, providing full
 support of the markevery property for axes.prop_cycle assignments through

diff --git a/examples/lines_bars_and_markers/scatter_with_legend.py b/examples/lines_bars_and_markers/scatter_with_legend.py
@@ -13,7 +13,7 @@
 
 
 fig, ax = plt.subplots()
-for color in ['red', 'green', 'blue']:
+for color in ['tab:blue', 'tab:orange', 'tab:green']:
     n = 750
     x, y = rand(2, n)
     scale = 200.0 * rand(n)

diff --git a/examples/pyplots/fig_axes_customize_simple.py b/examples/pyplots/fig_axes_customize_simple.py
@@ -22,13 +22,13 @@
 
 for label in ax1.xaxis.get_ticklabels():
     # label is a Text instance
-    label.set_color('red')
+    label.set_color('tab:red')
     label.set_rotation(45)
     label.set_fontsize(16)
 
 for line in ax1.yaxis.get_ticklines():
     # line is a Line2D instance
-    line.set_color('green')
+    line.set_color('tab:green')
     line.set_markersize(25)
     line.set_markeredgewidth(3)
 

diff --git a/examples/pyplots/pyplot_two_subplots.py b/examples/pyplots/pyplot_two_subplots.py
@@ -8,18 +8,21 @@
 import numpy as np
 import matplotlib.pyplot as plt
 
+
 def f(t):
     return np.exp(-t) * np.cos(2*np.pi*t)
 
+
 t1 = np.arange(0.0, 5.0, 0.1)
 t2 = np.arange(0.0, 5.0, 0.02)
 
 plt.figure()
 plt.subplot(211)
-plt.plot(t1, f(t1), 'bo', t2, f(t2), 'k')
+plt.plot(t1, f(t1), color='tab:blue', marker='o')
+plt.plot(t2, f(t2), color='black')
 
 plt.subplot(212)
-plt.plot(t2, np.cos(2*np.pi*t2), 'r--')
+plt.plot(t2, np.cos(2*np.pi*t2), color='tab:orange', linestyle='--')
 plt.show()
 
 #############################################################################

diff --git a/examples/text_labels_and_annotations/figlegend_demo.py b/examples/text_labels_and_annotations/figlegend_demo.py
@@ -15,11 +15,13 @@
 x = np.arange(0.0, 2.0, 0.02)
 y1 = np.sin(2 * np.pi * x)
 y2 = np.exp(-x)
-l1, l2 = axs[0].plot(x, y1, 'rs-', x, y2, 'go')
+l1, = axs[0].plot(x, y1)
+l2, = axs[0].plot(x, y2, marker='o')
 
 y3 = np.sin(4 * np.pi * x)
 y4 = np.exp(-2 * x)
-l3, l4 = axs[1].plot(x, y3, 'yd-', x, y4, 'k^')
+l3, = axs[1].plot(x, y3, color='tab:green')
+l4, = axs[1].plot(x, y4, color='tab:red', marker='^')
 
 fig.legend((l1, l2), ('Line 1', 'Line 2'), 'upper left')
 fig.legend((l3, l4), ('Line 3', 'Line 4'), 'upper right')