/usr/share/pyshared/csa/plot.py is in python-csa 0.1.0-1.1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# This file is part of the Connection-Set Algebra (CSA).
# Copyright (C) 2010,2011,2012 Mikael Djurfeldt
#
# CSA is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# CSA is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
import numpy as _numpy
import matplotlib
import matplotlib.pyplot as _plt
import elementary
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def inverseGray():
'''
set the default colormap to gray and apply to current image if any.
See help(colormaps) for more information
'''
_plt.rc('image', cmap='gray_r')
im = _plt.gci()
if im is not None:
im.set_cmap(_plt.cm.gray_r)
_plt.draw_if_interactive()
def show (cset, N0 = 30, N1 = None):
N1 = N0 if N1 == None else N1
_plt.clf ()
_plt.axis ('equal')
a = _numpy.zeros ((N0, N1))
for (i, j) in elementary.cross (xrange (N0), xrange (N1)) * cset:
a[i,j] += 1.0
_plt.imshow (a, interpolation='nearest')
_plt.show ()
def gplotsel2d (g, cset, source = elementary.N, target = elementary.N, N0 = 900, N1 = None, value = None, range=[], lines = True):
N1 = N0 if N1 == None else N1
_plt.clf ()
_plt.axis ('equal')
gplot2d (g, N1, color = 'grey', show = False)
cset = elementary.cross (source, target) * cset
N = len (cset)
if lines:
marker = 'ro-'
else:
marker = 'ro'
if elementary.arity (cset):
if value != None:
if range:
normalize = matplotlib.colors.Normalize (*range)
else:
normalize = matplotlib.colors.Normalize ()
normalize.autoscale ([v[value] for (i, j, v) in cset.c])
cmap = matplotlib.cm.get_cmap ()
for (i, j, v) in cset.c:
color = cmap (normalize (v[value]))
_plt.plot ([g (i)[0], g (j)[0]], [g (i)[1], g (j)[1]], \
marker, color = color, mfc = color)
else:
for (i, j, v) in cset.c:
_plt.plot ([g (i)[0], g (j)[0]], [g (i)[1], g (j)[1]], marker)
else:
for (i, j) in cset:
_plt.plot ([g (i)[0], g (j)[0]], [g (i)[1], g (j)[1]], marker)
_plt.show ()
def gplot2d (g, N, color = None, show = True):
if show:
_plt.clf ()
_plt.axis ('equal')
x = []
y = []
for i in xrange (0, N):
pos = g (i)
x.append (pos[0])
y.append (pos[1])
if color != None:
_plt.plot (x, y, 'o', color = color)
else:
_plt.plot (x, y, 'bo')
if show:
_plt.show ()
#del numpy, plt
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