Merge pull request matplotlib#3668 from thisch/pep8fix26

[examples] pep8 fix E26*

Author: tacaswell

examples/event_handling/path_editor.py

@@ -51,7 +51,7 @@ def __init__(self, pathpatch):
 
         self.line, = ax.plot(x,y,marker='o', markerfacecolor='r', animated=True)
 
-        self._ind = None # the active vert
+        self._ind = None  # the active vert
 
         canvas.mpl_connect('draw_event', self.draw_callback)
         canvas.mpl_connect('button_press_event', self.button_press_callback)

examples/event_handling/pick_event_demo.py

@@ -73,7 +73,7 @@ def pick_handler(event):
 import numpy as np
 from numpy.random import rand
 
-if 1: # simple picking, lines, rectangles and text
+if 1:  # simple picking, lines, rectangles and text
     fig, (ax1, ax2) = plt.subplots(2,1)
     ax1.set_title('click on points, rectangles or text', picker=True)
     ax1.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))
@@ -100,7 +100,7 @@ def onpick1(event):
 
     fig.canvas.mpl_connect('pick_event', onpick1)
 
-if 1: # picking with a custom hit test function
+if 1:  # picking with a custom hit test function
     # you can define custom pickers by setting picker to a callable
     # function.  The function has the signature
     #
@@ -140,7 +140,7 @@ def onpick2(event):
     fig.canvas.mpl_connect('pick_event', onpick2)
 
 
-if 1: # picking on a scatter plot (matplotlib.collections.RegularPolyCollection)
+if 1:  # picking on a scatter plot (matplotlib.collections.RegularPolyCollection)
 
     x, y, c, s = rand(4, 100)
 
@@ -153,7 +153,7 @@ def onpick3(event):
     #fig.savefig('pscoll.eps')
     fig.canvas.mpl_connect('pick_event', onpick3)
 
-if 1: # picking images (matplotlib.image.AxesImage)
+if 1:  # picking images (matplotlib.image.AxesImage)
     fig, ax = plt.subplots()
     im1 = ax.imshow(rand(10,5), extent=(1,2,1,2), picker=True)
     im2 = ax.imshow(rand(5,10), extent=(3,4,1,2), picker=True)

examples/event_handling/pipong.py

@@ -79,14 +79,14 @@ def update(self,pads):
                 self.vx *= 1.2 *pad.signx
                 self.vy *= 1.2 *pad.signy
         fudge = .001
-        #probably cleaner with something like...if not self.field.contains(self.x, self.y):
+        # probably cleaner with something like...if not self.field.contains(self.x, self.y):
         if self.x < 0+fudge:
-            #print "player A loses"
+            #print("player A loses")
             pads[1].score += 1;
             self._reset(pads[0])
             return True
         if self.x > 7-fudge:
-            #print "player B loses"
+            #print("player B loses")
             pads[0].score += 1;
             self._reset(pads[1])
             return True

examples/event_handling/poly_editor.py

@@ -41,7 +41,7 @@ def __init__(self, ax, poly):
         #self._update_line(poly)
 
         cid = self.poly.add_callback(self.poly_changed)
-        self._ind = None # the active vert
+        self._ind = None  # the active vert
 
         canvas.mpl_connect('draw_event', self.draw_callback)
         canvas.mpl_connect('button_press_event', self.button_press_callback)
@@ -106,7 +106,7 @@ def key_press_callback(self, event):
                 self.line.set_data(zip(*self.poly.xy))
         elif event.key=='i':
             xys = self.poly.get_transform().transform(self.poly.xy)
-            p = event.x, event.y # display coords
+            p = event.x, event.y  # display coords
             for i in range(len(xys)-1):
                 s0 = xys[i]
                 s1 = xys[i+1]

examples/event_handling/pong_gtk.py

@@ -30,6 +30,6 @@ def start_anim(event):
 
 
 tstart = time.time()
-plt.grid() # to ensure proper background restore
+plt.grid()  # to ensure proper background restore
 plt.show()
 print('FPS:' , animation.cnt/(time.time()-tstart))

examples/event_handling/resample.py

@@ -42,10 +42,10 @@ def update(self, ax):
 
 fig, ax = plt.subplots()
 
-#Hook up the line
+# Hook up the line
 xdata, ydata = d.downsample(xdata[0], xdata[-1])
 d.line, = ax.plot(xdata, ydata)
-ax.set_autoscale_on(False) # Otherwise, infinite loop
+ax.set_autoscale_on(False)  # Otherwise, infinite loop
 
 # Connect for changing the view limits
 ax.callbacks.connect('xlim_changed', d.update)

examples/event_handling/viewlims.py

@@ -39,14 +39,14 @@ def __call__(self, xstart, xend, ystart, yend):
         return threshold_time
 
     def ax_update(self, ax):
-        ax.set_autoscale_on(False) # Otherwise, infinite loop
+        ax.set_autoscale_on(False)  # Otherwise, infinite loop
 
-        #Get the number of points from the number of pixels in the window
+        # Get the number of points from the number of pixels in the window
         dims = ax.axesPatch.get_window_extent().bounds
         self.width = int(dims[2] + 0.5)
         self.height = int(dims[2] + 0.5)
 
-        #Get the range for the new area
+        # Get the range for the new area
         xstart,ystart,xdelta,ydelta = ax.viewLim.bounds
         xend = xstart + xdelta
         yend = ystart + ydelta

examples/images_contours_and_fields/image_demo.py

@@ -8,5 +8,5 @@
 image = plt.imread(image_file)
 
 plt.imshow(image)
-plt.axis('off') # clear x- and y-axes
+plt.axis('off')  # clear x- and y-axes
 plt.show()

examples/images_contours_and_fields/interpolation_none_vs_nearest.py

@@ -15,14 +15,14 @@
 import matplotlib.pyplot as plt
 import matplotlib.cbook as cbook
 
-#Load big image
+# Load big image
 big_im_path = cbook.get_sample_data('necked_tensile_specimen.png')
 big_im = plt.imread(big_im_path)
-#Define small image
+# Define small image
 small_im = np.array([[0.25, 0.75, 1.0, 0.75], [0.1, 0.65, 0.5, 0.4], \
     [0.6, 0.3, 0.0, 0.2], [0.7, 0.9, 0.4, 0.6]])
 
-#Create a 2x2 table of plots
+# Create a 2x2 table of plots
 fig = plt.figure(figsize=[8.0, 7.5])
 ax = plt.subplot(2,2,1)
 ax.imshow(big_im, interpolation='none')
@@ -35,25 +35,25 @@
 plt.subplots_adjust(left=0.24, wspace=0.2, hspace=0.1, \
     bottom=0.05, top=0.86)
 
-#Label the rows and columns of the table
+# Label the rows and columns of the table
 fig.text(0.03, 0.645, 'Big Image\nScaled Down', ha='left')
 fig.text(0.03, 0.225, 'Small Image\nBlown Up', ha='left')
 fig.text(0.383, 0.90, "Interpolation = 'none'", ha='center')
 fig.text(0.75, 0.90, "Interpolation = 'nearest'", ha='center')
 
-#If you were going to run this example on your local machine, you
-#would save the figure as a PNG, save the same figure as a PDF, and
-#then compare them.  The following code would suffice.
+# If you were going to run this example on your local machine, you
+# would save the figure as a PNG, save the same figure as a PDF, and
+# then compare them.  The following code would suffice.
 txt = fig.text(0.452, 0.95, 'Saved as a PNG', fontsize=18)
 # plt.savefig('None_vs_nearest-png.png')
 # txt.set_text('Saved as a PDF')
 # plt.savefig('None_vs_nearest-pdf.pdf')
 
-#Here, however, we need to display the PDF on a webpage, which means
-#the PDF must be converted into an image.  For the purposes of this
-#example, the 'Nearest_vs_none-pdf.pdf' has been pre-converted into
+# Here, however, we need to display the PDF on a webpage, which means
+# the PDF must be converted into an image.  For the purposes of this
+# example, the 'Nearest_vs_none-pdf.pdf' has been pre-converted into
 #'Nearest_vs_none-pdf.png' at 80 dpi.  We simply need to load and
-#display it.
+# display it.
 pdf_im_path = cbook.get_sample_data('None_vs_nearest-pdf.png')
 pdf_im = plt.imread(pdf_im_path)
 fig2 = plt.figure(figsize=[8.0, 7.5])

examples/lines_bars_and_markers/line_demo_dash_control.py

@@ -11,7 +11,7 @@
 x = np.linspace(0, 10)
 line, = plt.plot(x, np.sin(x), '--', linewidth=2)
 
-dashes = [10, 5, 100, 5] # 10 points on, 5 off, 100 on, 5 off
+dashes = [10, 5, 100, 5]  # 10 points on, 5 off, 100 on, 5 off
 line.set_dashes(dashes)
 
 plt.show()