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updated contour image
svn path=/trunk/matplotlib/; revision=1081
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‎examples/contour_image.py‎

Lines changed: 74 additions & 123 deletions
Original file line numberDiff line numberDiff line change
@@ -1,144 +1,95 @@
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#!/usr/bin/env python
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'''
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contour_image.py [options]
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Test combinations of contouring, filled contouring, and image plotting.
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For contour labelling, see contour_demo.py.
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The emphasis in this demo is on showing how to make contours register
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correctly on images, and on how to get both of them oriented as
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desired. In particular, note the usage of the "origin" and "extent"
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keyword arguments to imshow and contour.
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'''
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from pylab import *
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import matplotlib.numerix
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print 'Using', matplotlib.numerix.which[0]
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12-
from optparse import OptionParser
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parser = OptionParser(usage=__doc__.rstrip())
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parser.add_option("-b", "--badmask", dest="badmask", default="none",
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help="'none', 'edge', 'interior'; default is 'none'")
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parser.add_option("-d", "--delta", dest="delta", type="float", default=0.5,
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help="grid increment in x and y; default is 0.5")
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parser.add_option("-s", "--save", dest="save", default=None, metavar="FILE",
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help="Save to FILE; default is to not save.")
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parser.add_option("-e", "--extent", dest = "extent", type="int", default=0,
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help="""For subplots 2-4, use extent: \
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specify number 1 through 4 for any of 4 possibilities.""")
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parser.add_option("-f", "--figure", dest = "fignum", type="int", default=0,
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metavar="FIGNUM",
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help="""Plot subplot FIGNUM as a full-size plot; FIGNUM \
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must be in the range 1-4.""")
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#Default delta is large because that makes it fast, and it illustrates
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# the correct registration between image and contours.
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delta = 0.5
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extent = (-3,4,-4,3)
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31-
import sys
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# We have to strip out the numerix arguments before passing the
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# input arguments to the parser.
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Args = [arg for arg in sys.argv if arg not in ('--Numeric', '--numarray')]
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options, args = parser.parse_args(Args)
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delta = options.delta
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badmask = options.badmask
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extents = ((-3,4,-4,3), (-3,4,3,-4), (4,-3,-4,3), (4,-3,3,-4))
40-
if options.extent == 0:
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extent = None
42-
elif options.extent <= 4 and options.extent > 0:
43-
extent = extents[options.extent - 1]
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print "Using extent ", extent, "to change axis mapping on subplots 2-4"
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else:
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raise ValueError("extent must be integer, 1-4")
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fignum = options.fignum
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x = y = arange(-3.0, 3.01, delta)
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x = arange(-3.0, 4.001, delta)
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y = arange(-4.0, 3.001, delta)
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X, Y = meshgrid(x, y)
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Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
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Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
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Z = (Z1 - Z2) * 10
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Zbm = Z.copy()
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ny, nx = shape(Z)
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Badmask = zeros(shape(Z))
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if badmask == 'none':
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Badmask = None
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elif badmask == 'edge':
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Badmask[:ny/5,:] = 1
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Zbm[:ny/5,:] = 100 # test ability to ignore bad values
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elif badmask == 'interior':
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Badmask[ny/4:ny/2, nx/4:nx/2] = 1
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Zbm[ny/4:ny/2, nx/4:nx/2] = 100
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print "Interior masking works correctly for line contours only..."
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else:
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raise ValueError("badmask must be 'none', 'edge', or 'interior'")
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72-
levels = arange(-1.2,1.5,0.4)
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levels = arange(-2.0,1.6,0.4)
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figure()
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if fignum == 0:
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subplot(2,2,1)
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if fignum == 0 or fignum == 1:
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levs1, colls = contourf(X, Y, Zbm, 10,
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cmap=cm.jet,
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badmask = Badmask
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)
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#If we want lines as well as filled regions, we need to call
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# contour separately; don't try to change the edgecolor or edgewidth
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# of the polygons in the collections returned by contourf.
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# Use levels output from previous call to guarantee they are the same.
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levs2, colls2 = contour(X, Y, Zbm, levs1,
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colors = 'k',
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badmask = Badmask,
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hold='on')
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# We don't really need dashed contour lines to indicate negative
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# regions, so let's turn them off.
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for c in colls2:
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c.set_linestyle('solid')
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# It is easier here to make a separate call to contour than
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# to set up an array of colors and linewidths.
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levs3, colls3 = contour(X, Y, Zbm, (0,),
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colors = 'g',
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linewidths = 2,
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hold='on')
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title('Filled contours')
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colorbar()
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hot()
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# Major reworking of the colorbar mechanism is needed for filled contours!
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if fignum == 0:
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subplot(2,2,2)
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112-
if fignum == 0 or fignum == 2:
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imshow(Z, extent=extent)
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v = axis()
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contour(Z, levels, hold='on', colors = 'k', origin='upper', extent=extent)
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axis(v)
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title("Image, origin 'upper'")
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119-
if fignum == 0:
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subplot(2,2,3)
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if fignum == 0 or fignum == 3:
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imshow(Z, origin='lower', extent=extent)
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v = axis()
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contour(Z, levels, hold='on', colors = 'k', origin='lower', extent=extent)
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axis(v)
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title("Image, origin 'lower'")
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129-
if fignum == 0:
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subplot(2,2,4)
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if fignum == 0 or fignum == 4:
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imshow(Z, interpolation='nearest', extent=extent)
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v = axis()
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contour(Z, levels, hold='on', colors = 'k', origin='image', extent=extent)
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axis(v)
137-
ylim = get(gca(), 'ylim')
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set(gca(), ylim=ylim[::-1])
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title("Image, origin from rc, reversed y-axis")
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141-
if options.save is not None:
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savefig(options.save)
31+
subplot(2,2,1)
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33+
levs1, colls = contourf(X, Y, Z, levels,
34+
cmap=cm.jet,
35+
)
36+
#If we want lines as well as filled regions, we need to call
37+
# contour separately; don't try to change the edgecolor or edgewidth
38+
# of the polygons in the collections returned by contourf.
39+
# Use levels output from previous call to guarantee they are the same.
40+
levs2, colls2 = contour(X, Y, Z, levs1,
41+
colors = 'k',
42+
hold='on')
43+
# We don't really need dashed contour lines to indicate negative
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# regions, so let's turn them off.
45+
for c in colls2:
46+
c.set_linestyle('solid')
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48+
# It is easier here to make a separate call to contour than
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# to set up an array of colors and linewidths.
50+
# We are making a thick green line as a zero contour.
51+
# Specify the zero level as a tuple with only 0 in it.
52+
levs3, colls3 = contour(X, Y, Z, (0,),
53+
colors = 'g',
54+
linewidths = 2,
55+
hold='on')
56+
title('Filled contours')
57+
#colorbar()
58+
hot()
59+
# To Do: make a discrete colorbar to match filled contours.
60+
61+
subplot(2,2,2)
62+
63+
imshow(Z, extent=extent)
64+
v = axis()
65+
contour(Z, levels, hold='on', colors = 'k', origin='upper', extent=extent)
66+
axis(v)
67+
title("Image, origin 'upper'")
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69+
subplot(2,2,3)
70+
71+
imshow(Z, origin='lower', extent=extent)
72+
v = axis()
73+
contour(Z, levels, hold='on', colors = 'k', origin='lower', extent=extent)
74+
axis(v)
75+
title("Image, origin 'lower'")
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77+
subplot(2,2,4)
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79+
# We will use the interpolation "nearest" here to show the actual
80+
# image pixels.
81+
# Note that the contour lines don't extend to the edge of the box.
82+
# This is intentional. The Z values are defined at the center of each
83+
# image pixel (each color block on the following subplot), so the
84+
# domain that is contoured does not extend beyond these pixel centers.
85+
imshow(Z, interpolation='nearest', extent=extent)
86+
v = axis()
87+
contour(Z, levels, hold='on', colors = 'k', origin='image', extent=extent)
88+
axis(v)
89+
ylim = get(gca(), 'ylim')
90+
set(gca(), ylim=ylim[::-1])
91+
title("Image, origin from rc, reversed y-axis")
92+
93+
#savefig('contour_image')
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14495
show()

‎lib/matplotlib/collections.py‎

Lines changed: 6 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -215,15 +215,18 @@ def get_verts(self):
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offsets = [(0,0)]
216216
else:
217217
offsets = self._offsets
218-
N = max(len(offsets), len(self._verts))
218+
Noffsets = len(offsets)
219+
Nverts = len(self._verts)
220+
N = max(Noffsets, Nverts)
219221
vertsall = []
220222
for i in range(N):
221-
ox, oy = offsets[i%N]
222-
verts = self._verts[i%N]
223+
ox, oy = offsets[i%Noffsets]
224+
verts = self._verts[i%Nverts]
223225
vertsall.extend([(x+ox, y+oy) for x,y in verts])
224226
return vertsall
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226228

229+
227230
class RegularPolyCollection(PatchCollection):
228231
def __init__(self,
229232
dpi,

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