MEP12 and simplify ganged_plots example

matplotlib · anntzer · Mar 16, 2017 · Mar 7, 2017 · Mar 7, 2017 · Mar 8, 2017
commit 0e057cde99cc0825559ac62dee0d266077fac353
diff --git a/examples/pylab_examples/ganged_plots.py b/examples/pylab_examples/ganged_plots.py
@@ -1,8 +1,12 @@
 """
+==========================
+Creating adjacent subplots
+==========================
+
 To create plots that share a common axes (visually) you can set the
-hspace between the subplots close to zero (do not use zero itself).
-Normally you'll want to turn off the tick labels on all but one of the
-axes.
+hspace between the subplots close to zero (do not use zero itself). Passing
+sharex=True when creating the subplots will automatically turn of all x ticks
+and labels apart from on the bottom axis.

 In this example the plots share a common xaxis but you can follow the
 same logic to supply a common y axis.
@@ -12,34 +16,25 @@

 t = np.arange(0.0, 2.0, 0.01)

-s1 = np.sin(2*np.pi*t)
+s1 = np.sin(2 * np.pi * t)
 s2 = np.exp(-t)
-s3 = s1*s2
-
-# axes rect in relative 0,1 coords left, bottom, width, height.  Turn
-# off xtick labels on all but the lower plot
-
-
-f = plt.figure()
-plt.subplots_adjust(hspace=0.001)
-
+s3 = s1 * s2

-ax1 = plt.subplot(311)
-ax1.plot(t, s1)
-plt.yticks(np.arange(-0.9, 1.0, 0.4))
-plt.ylim(-1, 1)
+fig, axs = plt.subplots(3, 1, sharex=True)
+# Remove horizontal space between axes
+fig.subplots_adjust(hspace=0.001)

-ax2 = plt.subplot(312, sharex=ax1)
-ax2.plot(t, s2)
-plt.yticks(np.arange(0.1, 1.0, 0.2))
-plt.ylim(0, 1)
+# Plot each graph, and manually set the y tick values
+axs[0].plot(t, s1)
+axs[0].set_yticks(np.arange(-0.9, 1.0, 0.4))
+axs[0].set_ylim(-1, 1)

-ax3 = plt.subplot(313, sharex=ax1)
-ax3.plot(t, s3)
-plt.yticks(np.arange(-0.9, 1.0, 0.4))
-plt.ylim(-1, 1)
+axs[1].plot(t, s2)
+axs[1].set_yticks(np.arange(0.1, 1.0, 0.2))
+axs[1].set_ylim(0, 1)

-xticklabels = ax1.get_xticklabels() + ax2.get_xticklabels()
-plt.setp(xticklabels, visible=False)
+axs[2].plot(t, s3)
+axs[2].set_yticks(np.arange(-0.9, 1.0, 0.4))
+axs[2].set_ylim(-1, 1)

 plt.show()