Cleanup contour_demo.

anntzer · anntzer · commit 70d138a78b85 · 2019-12-30T00:15:28.000+01:00
diff --git a/examples/images_contours_and_fields/contour_demo.py b/examples/images_contours_and_fields/contour_demo.py
@@ -9,6 +9,7 @@
 See also the :doc:`contour image example
 </gallery/images_contours_and_fields/contour_image>`.
 """
+
 import matplotlib
 import numpy as np
 import matplotlib.cm as cm
@@ -24,29 +25,27 @@
 Z = (Z1 - Z2) * 2
 
 ###############################################################################
-# Create a simple contour plot with labels using default colors.  The
-# inline argument to clabel will control whether the labels are draw
-# over the line segments of the contour, removing the lines beneath
-# the label
+# Create a simple contour plot with labels using default colors.  The inline
+# argument to clabel will control whether the labels are draw over the line
+# segments of the contour, removing the lines beneath the label.
 
 fig, ax = plt.subplots()
 CS = ax.contour(X, Y, Z)
 ax.clabel(CS, inline=1, fontsize=10)
 ax.set_title('Simplest default with labels')
 
-
 ###############################################################################
-# contour labels can be placed manually by providing list of positions
-# (in data coordinate). See ginput_manual_clabel.py for interactive
-# placement.
+# Contour labels can be placed manually by providing list of positions (in data
+# coordinate).  See :doc:`/gallery/event_handling/ginput_manual_clabel_sgskip`
+# for interactive placement.
 
 fig, ax = plt.subplots()
 CS = ax.contour(X, Y, Z)
-manual_locations = [(-1, -1.4), (-0.62, -0.7), (-2, 0.5), (1.7, 1.2), (2.0, 1.4), (2.4, 1.7)]
+manual_locations = [
+    (-1, -1.4), (-0.62, -0.7), (-2, 0.5), (1.7, 1.2), (2.0, 1.4), (2.4, 1.7)]
 ax.clabel(CS, inline=1, fontsize=10, manual=manual_locations)
 ax.set_title('labels at selected locations')
 
-
 ###############################################################################
 # You can force all the contours to be the same color.
 
@@ -64,7 +63,6 @@
 ax.clabel(CS, fontsize=9, inline=1)
 ax.set_title('Single color - negative contours solid')
 
-
 ###############################################################################
 # And you can manually specify the colors of the contour
 
@@ -76,14 +74,13 @@
 ax.clabel(CS, fontsize=9, inline=1)
 ax.set_title('Crazy lines')
 
-
 ###############################################################################
 # Or you can use a colormap to specify the colors; the default
 # colormap will be used for the contour lines
 
 fig, ax = plt.subplots()
 im = ax.imshow(Z, interpolation='bilinear', origin='lower',
-                cmap=cm.gray, extent=(-3, 3, -2, 2))
+               cmap=cm.gray, extent=(-3, 3, -2, 2))
 levels = np.arange(-1.2, 1.6, 0.2)
 CS = ax.contour(Z, levels, origin='lower', cmap='flag',
                 linewidths=2, extent=(-3, 3, -2, 2))
