Merge pull request #3664 from thisch/fix_e27_e251

PEP8 : [examples] pep8 fix e251 e27*

examples/images_contours_and_fields/interpolation_none_vs_nearest.py

@@ -23,28 +23,28 @@
     [0.6, 0.3, 0.0, 0.2], [0.7, 0.9, 0.4, 0.6]])
 
 #Create a 2x2 table of plots
-fig = plt.figure(figsize = [8.0, 7.5])
+fig = plt.figure(figsize=[8.0, 7.5])
 ax = plt.subplot(2,2,1)
-ax.imshow(big_im, interpolation = 'none')
+ax.imshow(big_im, interpolation='none')
 ax = plt.subplot(2,2,2)
-ax.imshow(big_im, interpolation = 'nearest')
+ax.imshow(big_im, interpolation='nearest')
 ax = plt.subplot(2,2,3)
-ax.imshow(small_im, interpolation = 'none')
+ax.imshow(small_im, interpolation='none')
 ax = plt.subplot(2,2,4)
-ax.imshow(small_im, interpolation = 'nearest')
-plt.subplots_adjust(left = 0.24, wspace = 0.2, hspace = 0.1, \
-    bottom = 0.05, top = 0.86)
+ax.imshow(small_im, interpolation='nearest')
+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
-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')
+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.
-txt = fig.text(0.452, 0.95, 'Saved as a PNG', fontsize = 18)
+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')
@@ -56,7 +56,7 @@
 #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])
+fig2 = plt.figure(figsize=[8.0, 7.5])
 plt.figimage(pdf_im)
 
 plt.show()

examples/misc/multiprocess.py

@@ -64,8 +64,8 @@ class NBPlot(object):
     def __init__(self):
         self.plot_pipe, plotter_pipe = Pipe()
         self.plotter = ProcessPlotter()
-        self.plot_process = Process(target = self.plotter,
-                                    args = (plotter_pipe,))
+        self.plot_process = Process(target=self.plotter,
+                                    args=(plotter_pipe,))
         self.plot_process.daemon = True
         self.plot_process.start()
 

examples/misc/rc_traits.py

@@ -170,7 +170,7 @@ def __init__(self,
                  edgecolor=None,
                  facecolor=None,
                  linewidth=None,
-                 antialiased = None,
+                 antialiased=None,
                  fill=1,
                  **kwargs
                  ):

examples/mplot3d/polys3d_demo.py

@@ -17,7 +17,7 @@
     ys[0], ys[-1] = 0, 0
     verts.append(list(zip(xs, ys)))
 
-poly = PolyCollection(verts, facecolors = [cc('r'), cc('g'), cc('b'),
+poly = PolyCollection(verts, facecolors=[cc('r'), cc('g'), cc('b'),
                                            cc('y')])
 poly.set_alpha(0.7)
 ax.add_collection3d(poly, zs=zs, zdir='y')

examples/pylab_examples/arrow_demo.py

@@ -25,7 +25,7 @@ def add_dicts(d1, d2):
 
 
 def make_arrow_plot(data, size=4, display='length', shape='right', \
-        max_arrow_width=0.03, arrow_sep = 0.02, alpha=0.5, \
+        max_arrow_width=0.03, arrow_sep=0.02, alpha=0.5, \
         normalize_data=False, ec=None, labelcolor=None, \
         head_starts_at_zero=True, rate_labels=lettered_bases_to_rates,\
         **kwargs):

examples/pylab_examples/color_by_yvalue.py

@@ -1,7 +1,7 @@
 # use masked arrays to plot a line with different colors by y-value
 from numpy import logical_or, arange, sin, pi
 from numpy import ma
-from matplotlib.pyplot import  plot, show
+from matplotlib.pyplot import plot, show
 
 t = arange(0.0, 2.0, 0.01)
 s = sin(2*pi*t)

examples/pylab_examples/contour_image.py

@@ -47,7 +47,7 @@
 # of the polygons in the collections returned by contourf.
 # Use levels output from previous call to guarantee they are the same.
 cset2 = contour(X, Y, Z, cset1.levels,
-                        colors = 'k',
+                        colors='k',
                         hold='on')
 # We don't really need dashed contour lines to indicate negative
 # regions, so let's turn them off.
@@ -59,8 +59,8 @@
 # We are making a thick green line as a zero contour.
 # Specify the zero level as a tuple with only 0 in it.
 cset3 = contour(X, Y, Z, (0,),
-                colors = 'g',
-                linewidths = 2,
+                colors='g',
+                linewidths=2,
                 hold='on')
 title('Filled contours')
 colorbar(cset1)
@@ -71,7 +71,7 @@
 
 imshow(Z, extent=extent, cmap=cmap, norm=norm)
 v = axis()
-contour(Z, levels, hold='on', colors = 'k',
+contour(Z, levels, hold='on', colors='k',
         origin='upper', extent=extent)
 axis(v)
 title("Image, origin 'upper'")
@@ -80,7 +80,7 @@
 
 imshow(Z, origin='lower', extent=extent, cmap=cmap, norm=norm)
 v = axis()
-contour(Z, levels, hold='on', colors = 'k',
+contour(Z, levels, hold='on', colors='k',
         origin='lower', extent=extent)
 axis(v)
 title("Image, origin 'lower'")
@@ -95,7 +95,7 @@
 # domain that is contoured does not extend beyond these pixel centers.
 im = imshow(Z, interpolation='nearest', extent=extent, cmap=cmap, norm=norm)
 v = axis()
-contour(Z, levels, hold='on', colors = 'k',
+contour(Z, levels, hold='on', colors='k',
         origin='image', extent=extent)
 axis(v)
 ylim = get(gca(), 'ylim')

examples/pylab_examples/contourf_demo.py

@@ -44,7 +44,7 @@
 # or leave out the levels kwarg to use all of the original levels.
 
 CS2 = plt.contour(CS, levels=CS.levels[::2],
-                        colors = 'r',
+                        colors='r',
                         origin=origin,
                         hold='on')
 
@@ -65,7 +65,7 @@
 # of colors.
 levels = [-1.5, -1, -0.5, 0, 0.5, 1]
 CS3 = plt.contourf(X, Y, Z, levels,
-                        colors = ('r', 'g', 'b'),
+                        colors=('r', 'g', 'b'),
                         origin=origin,
                         extend='both')
 # Our data range extends outside the range of levels; make
@@ -75,11 +75,11 @@
 CS3.cmap.set_over('cyan')
 
 CS4 = plt.contour(X, Y, Z, levels,
-                       colors = ('k',),
+                       colors=('k',),
                        linewidths = (3,),
                        origin = origin)
 plt.title('Listed colors (3 masked regions)')
-plt.clabel(CS4, fmt = '%2.1f', colors = 'w', fontsize=14)
+plt.clabel(CS4, fmt='%2.1f', colors='w', fontsize=14)
 
 # Notice that the colorbar command gets all the information it
 # needs from the ContourSet object, CS3.

examples/pylab_examples/demo_bboximage.py

@@ -12,7 +12,7 @@
     kwargs = dict()
 
     bbox_image = BboxImage(txt.get_window_extent,
-                           norm = None,
+                           norm=None,
                            origin=None,
                            clip_on=False,
                            **kwargs
@@ -48,8 +48,8 @@
         bbox = TransformedBbox(bbox0, ax.transAxes)
 
         bbox_image = BboxImage(bbox,
-                               cmap = plt.get_cmap(m),
-                               norm = None,
+                               cmap=plt.get_cmap(m),
+                               norm=None,
                                origin=None,
                                **kwargs
                                )

examples/pylab_examples/demo_ribbon_box.py

@@ -51,24 +51,24 @@ class RibbonBoxImage(BboxImage):
     zorder = 1
 
     def __init__(self, bbox, color,
-                 cmap = None,
-                 norm = None,
+                 cmap=None,
+                 norm=None,
                  interpolation=None,
                  origin=None,
                  filternorm=1,
                  filterrad=4.0,
-                 resample = False,
+                 resample=False,
                  **kwargs
                  ):
 
         BboxImage.__init__(self, bbox,
-                           cmap = cmap,
-                           norm = norm,
+                           cmap=cmap,
+                           norm=norm,
                            interpolation=interpolation,
                            origin=origin,
                            filternorm=filternorm,
                            filterrad=filterrad,
-                           resample = resample,
+                           resample=resample,
                            **kwargs
                            )
 

examples/pylab_examples/demo_text_path.py

@@ -35,7 +35,7 @@ def set_facecolor(self, color):
     def _init_bbox_image(self, im):
 
         bbox_image = BboxImage(self.get_window_extent,
-                               norm = None,
+                               norm=None,
                                origin=None,
                                )
         bbox_image.set_transform(IdentityTransform())

examples/pylab_examples/fancytextbox_demo.py

@@ -2,15 +2,15 @@
 
 plt.text(0.6, 0.5, "test", size=50, rotation=30.,
          ha="center", va="center", 
-         bbox = dict(boxstyle="round",
+         bbox=dict(boxstyle="round",
                      ec=(1., 0.5, 0.5),
                      fc=(1., 0.8, 0.8),
                      )
          )
 
 plt.text(0.5, 0.4, "test", size=50, rotation=-30.,
          ha="right", va="top", 
-         bbox = dict(boxstyle="square",
+         bbox=dict(boxstyle="square",
                      ec=(1., 0.5, 0.5),
                      fc=(1., 0.8, 0.8),
                      )

examples/pylab_examples/fonts_demo_kw.py

@@ -72,7 +72,7 @@
          **alignment)
 
 t = text(x, 0.2, 'bold italic',
-         style = 'italic', weight='bold', size='medium',
+         style='italic', weight='bold', size='medium',
          **alignment)
 
 t = text(x, 0.3, 'bold italic',

examples/pylab_examples/hexbin_demo2.py

@@ -4,7 +4,7 @@
 """
 
 import numpy as np
-import  matplotlib.pyplot as plt
+import matplotlib.pyplot as plt
 import matplotlib.mlab as mlab
 
 delta = 0.025

examples/pylab_examples/image_masked.py

@@ -36,16 +36,16 @@
 subplot(1,2,1)
 im = imshow(Zm, interpolation='bilinear',
     cmap=palette,
-    norm = colors.Normalize(vmin = -1.0, vmax = 1.0, clip = False),
+    norm=colors.Normalize(vmin=-1.0, vmax=1.0, clip=False),
     origin='lower', extent=[-3,3,-3,3])
 title('Green=low, Red=high, Blue=bad')
 colorbar(im, extend='both', orientation='horizontal', shrink=0.8)
 
 subplot(1,2,2)
 im = imshow(Zm, interpolation='nearest',
     cmap=palette,
-    norm = colors.BoundaryNorm([-1, -0.5, -0.2, 0, 0.2, 0.5, 1],
-                        ncolors=256, clip = False),
+    norm=colors.BoundaryNorm([-1, -0.5, -0.2, 0, 0.2, 0.5, 1],
+                        ncolors=256, clip=False),
     origin='lower', extent=[-3,3,-3,3])
 title('With BoundaryNorm')
 colorbar(im, extend='both', spacing='proportional',

examples/pylab_examples/line_collection.py

@@ -31,7 +31,7 @@
 #          If linestyle is omitted, 'solid' is used
 # See matplotlib.collections.LineCollection for more information
 line_segments = LineCollection(segs,
-                                linewidths = (0.5,1,1.5,2),
+                                linewidths=(0.5,1,1.5,2),
                                 colors        = [colorConverter.to_rgba(i) \
                                                  for i in ('b','g','r','c','m','y','k')],
                                 linestyle = 'solid')

examples/pylab_examples/line_collection2.py

@@ -22,7 +22,7 @@
 #          If linestyle is omitted, 'solid' is used
 # See matplotlib.collections.LineCollection for more information
 line_segments = LineCollection([list(zip(x,y)) for y in ys], # Make a sequence of x,y pairs
-                                linewidths = (0.5,1,1.5,2),
+                                linewidths=(0.5,1,1.5,2),
                                 linestyles = 'solid')
 line_segments.set_array(x)
 ax.add_collection(line_segments)

examples/pylab_examples/logo.py

@@ -19,7 +19,7 @@
      fontsize=40, fontname='Courier',
      horizontalalignment='center',
      verticalalignment='center',
-     transform = ax.transAxes,
+     transform=ax.transAxes,
      )
 axis([1, 1.72,-60, 10])
 setp(gca(), 'xticklabels', [])

examples/pylab_examples/markevery_demo.py

@@ -90,7 +90,7 @@
 for i, case in enumerate(cases):
     row = (i // cols)
     col = i % cols
-    axpolar.append(fig4.add_subplot(gs[row, col], polar = True))
+    axpolar.append(fig4.add_subplot(gs[row, col], polar=True))
     axpolar[-1].set_title('markevery=%s' % str(case))
     axpolar[-1].plot(theta, r, 'o', ls='-', ms=4,  markevery=case)
 fig4.tight_layout()

examples/pylab_examples/masked_demo.py

@@ -16,11 +16,11 @@
 ym2 = ma.masked_where(y2 < -0.5, y2)
 
 lines = plot(x, y, 'r', x, ym1, 'g', x, ym2, 'bo')
-setp(lines[0], linewidth = 4)
-setp(lines[1], linewidth = 2)
-setp(lines[2], markersize = 10)
+setp(lines[0], linewidth=4)
+setp(lines[1], linewidth=2)
+setp(lines[2], markersize=10)
 
 legend(('No mask', 'Masked if > 0.5', 'Masked if < -0.5') ,
-        loc = 'upper right')
+        loc='upper right')
 title('Masked line demo')
 show()

examples/pylab_examples/multiline.py

@@ -13,9 +13,9 @@
     #ylabel('this is another!')
     text(2, 7,'this is\nyet another test',
          rotation=45,
-         horizontalalignment = 'center',
-         verticalalignment = 'top',
-         multialignment = 'center')
+         horizontalalignment='center',
+         verticalalignment='top',
+         multialignment='center')
 
     grid(True)
 

examples/pylab_examples/scatter_custom_symbol.py

@@ -12,6 +12,6 @@
 s*= 10**2.
 
 fig, ax = plt.subplots()
-ax.scatter(x,y,s,c,marker=None,verts =verts)
+ax.scatter(x,y,s,c,marker=None,verts=verts)
 
 plt.show()

examples/pylab_examples/transoffset.py

@@ -32,7 +32,7 @@
 # first; the subplot command above is one way to do this.
 
 transOffset = offset_copy(ax.transData, fig=fig,
-                            x = 0.05, y=0.10, units='inches')
+                            x=0.05, y=0.10, units='inches')
 
 for x, y in zip(X, Y):
     P.plot((x,),(y,), 'ro')
@@ -43,7 +43,7 @@
 
 ax = P.subplot(2,1,2, polar=True)
 
-transOffset = offset_copy(ax.transData, fig=fig, y = 6, units='dots')
+transOffset = offset_copy(ax.transData, fig=fig, y=6, units='dots')
 
 for x, y in zip(X, Y):
     P.polar((x,),(y,), 'ro')