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+ GNU GENERAL PUBLIC LICENSE
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+
+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
+
+ If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+ To do so, attach the following notices to the program. It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+ <one line to give the program's name and a brief idea of what it does.>
+ Copyright (C) <year> <name of author>
+
+ This program 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.
+
+ This program 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/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+ If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+ <program> Copyright (C) <year> <name of author>
+ This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+ This is free software, and you are welcome to redistribute it
+ under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License. Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+ You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<http://www.gnu.org/licenses/>.
+
+ The GNU General Public License does not permit incorporating your program
+into proprietary programs. If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library. If this is what you want to do, use the GNU Lesser General
+Public License instead of this License. But first, please read
+<http://www.gnu.org/philosophy/why-not-lgpl.html>.
--- /dev/null
+#!/usr/bin/env python
+
+"""Generate an image from ASCII data.
+
+Step 1: make this file executable::
+
+ chmod +x plot_image.py
+
+Step 2: pipe data into python script::
+
+ ./gen_data | ./plot_image.py -s nx,ny -c nc -t 'image title'
+
+Data should be one ASCII float per line, in the following order::
+
+ z[x1,y1]
+ z[x2,y1]
+ ...
+ z[xN,y1]
+ z[x1,y2]
+ ...
+ z[xN,y2]
+ ...
+ z[xN,yN]
+
+where `x` increases from `x1` to `xN` and `y` increases from `y1`
+through `yN`.
+
+You can use the `--xyz` option to read an alternative data format,
+which is::
+
+ x1 y1 z[x1,y1]
+ x2 y2 z[x1,y1]
+ ...
+
+If you use this method, the ordering of lines in the data file is
+irrelevant, and `Nx` and `Ny` are extracted from the data file itself.
+However, you still need to use a rectangular grid (i.e. for every
+`xi`, you need to have entries for every `yi`).
+
+For usage info, run::
+
+ ./plot_image.py --help
+
+When run with interactive output (i.e. no `-o ...` option), the
+interactive figure is displayed using `pylab.show`, which means that
+you'll have to kill `plot_image.py` using ^C or similar [1]_.
+
+For other ideas, see the Matplotlib website [2]_.
+
+.. [1] http://matplotlib.sourceforge.net/faq/howto_faq.html#use-show
+.. [2] http://matplotlib.sourceforge.net/
+"""
+
+import optparse
+import sys
+
+import matplotlib
+import matplotlib.image
+import numpy
+
+# Depending on your Matplotlib configuration, you may need to adjust
+# your backend. Do this before importing pylab or matplotlib.backends.
+#matplotlib.use('Agg') # select backend that doesn't require X Windows
+#matplotlib.use('GTKAgg') # select backend that supports pylab.show()
+
+import pylab
+
+
+_DOC = __doc__
+
+
+def read_data_1d(stream, nx, ny):
+ """Read in data, one entry per line.
+
+ >>> from StringIO import StringIO
+ >>> s = StringIO('\\n'.join(map(str, range(10)))+'\\n')
+ >>> X,Y,Z = read_data_1d(s, 5, 2)
+ >>> X
+ array([[0, 1, 2, 3, 4, 5],
+ [0, 1, 2, 3, 4, 5],
+ [0, 1, 2, 3, 4, 5]])
+ >>> Y
+ array([[0, 0, 0, 0, 0, 0],
+ [1, 1, 1, 1, 1, 1],
+ [2, 2, 2, 2, 2, 2]])
+ >>> Z
+ array([[ 0., 1., 2., 3., 4.],
+ [ 5., 6., 7., 8., 9.]])
+ """
+ X,Y = pylab.meshgrid(range(nx+1), range(ny+1))
+ Z = numpy.loadtxt(stream)
+ assert Z.size == nx*ny, 'Z.size = %d != %d = %dx%d' % (
+ Z.size, nx*ny, nx, ny)
+ Z = Z.reshape([x-1 for x in X.shape])
+ return (X,Y,Z)
+
+def read_data_3d(stream):
+ """Read in data, one `(x, y, z)` tuple per line.
+
+ >>> from StringIO import StringIO
+ >>> lines = []
+ >>> for x in range(5):
+ ... for y in range(2):
+ ... lines.append('\t'.join(map(str, [x, y, x+y*5])))
+ >>> s = StringIO('\\n'.join(lines)+'\\n')
+ >>> X,Y,Z = read_data_3d(s)
+ >>> X
+ array([[ 0., 1., 2., 3., 4., 5.],
+ [ 0., 1., 2., 3., 4., 5.],
+ [ 0., 1., 2., 3., 4., 5.]])
+ >>> Y
+ array([[ 0., 0., 0., 0., 0., 0.],
+ [ 1., 1., 1., 1., 1., 1.],
+ [ 2., 2., 2., 2., 2., 2.]])
+ >>> Z
+ array([[ 0., 1., 2., 3., 4.],
+ [ 5., 6., 7., 8., 9.]])
+ """
+ XYZ = numpy.loadtxt(stream)
+ assert len(XYZ.shape) == 2 and XYZ.shape[1] == 3, XYZ.shape
+ Xs = numpy.array(sorted(set(XYZ[:,0])))
+ Ys = numpy.array(sorted(set(XYZ[:,1])))
+ Z = numpy.ndarray((len(Ys), len(Xs)), dtype=float)
+ xyz = {} # dict of z values keyed by (x,y) tuples
+ for i in range(XYZ.shape[0]):
+ xyz[(XYZ[i,0], XYZ[i,1])] = XYZ[i,2]
+ for i,x in enumerate(Xs):
+ for j,y in enumerate(Ys):
+ Z[j,i] = xyz[x,y]
+ # add dummy row/column for pcolor
+ dx = Xs[-1] - Xs[-2]
+ dy = Ys[-1] - Ys[-2]
+ Xs = numpy.append(Xs, Xs[-1] + dx)
+ Ys = numpy.append(Ys, Ys[-1] + dy)
+ X,Y = pylab.meshgrid(Xs, Ys)
+ return (X,Y,Z)
+
+def plot(X, Y, Z, full=False, title=None, contours=None, interpolation=None,
+ cmap=None):
+ """Plot Z over the mesh X, Y.
+
+ >>> X, Y = pylab.meshgrid(range(6), range(2))
+ >>> Z = X[:-1,:-1]**2 + Y[:-1,:-1]
+ >>> plot(X, Y, Z) # doctest: +ELLIPSIS
+ <matplotlib.figure.Figure object at 0x...>
+ """
+ X_min = X[0,0]
+ X_max = X[-1,-1]
+ Y_min = Y[0,0]
+ Y_max = Y[-1,-1]
+
+ fig = pylab.figure()
+ if full:
+ axes = fig.add_axes([0, 0, 1, 1])
+ else:
+ axes = fig.add_subplot(1, 1, 1)
+ if title:
+ axes.set_title(title)
+ axes.set_axis_off()
+
+ if contours:
+ cset = axes.contour(X[:-1,:-1], Y[:-1,:-1], Z, contours, cmap=cmap)
+ # [:-1,:-1] to strip dummy last row & column from X&Y.
+ axes.clabel(cset, inline=1, fmt='%1.1f', fontsize=10)
+ else:
+ # pcolor() is much slower than imshow.
+ #plot = axes.pcolor(X, Y, Z, cmap=cmap, edgecolors='none')
+ #axes.autoscale_view(tight=True)
+ plot = axes.imshow(Z, aspect='auto', interpolation=interpolation,
+ origin='lower', cmap=cmap,
+ extent=(X_min, X_max, Y_min, Y_max))
+ if not full:
+ fig.colorbar(plot)
+ return fig
+
+
+def get_possible_interpolations():
+ try: # Matplotlib v1.0.1
+ return sorted(matplotlib.image.AxesImage._interpd.keys())
+ except AttributeError:
+ try: # Matplotlib v0.91.2
+ return sorted(matplotlib.image.AxesImage(None)._interpd.keys())
+ except AttributeError:
+ # give up ;)
+ pass
+ return ['nearest']
+
+def test():
+ import doctest
+ results = doctest.testmod()
+ return results.failed
+
+
+def main(argv=None):
+ """Read in data and plot it.
+
+ >>> from tempfile import NamedTemporaryFile
+ >>> i = NamedTemporaryFile(prefix='tmp-input', suffix='.dat')
+ >>> i.write('\\n'.join([str(x) for x in range(10)])+'\\n')
+ >>> i.flush()
+ >>> o = NamedTemporaryFile(prefix='tmp-output', suffix='.png')
+ >>> main(['-i', i.name, '-s', '5,2', '-o', o.name, '-m', 'binary'])
+ Plot_image
+ Title: Some like it hot
+ Image size: 5 2
+ False color
+ X range: 0 4 (6 steps)
+ Y range: 0 1 (3 steps)
+ Z range: 0.0 9.0
+ >>> img = o.read()
+ >>> img.startswith('\\x89PNG')
+ True
+ >>> i.close()
+ >>> o.close()
+ """
+ if argv == None:
+ argv = sys.argv[1:]
+
+ usage = '%prog [options]'
+ epilog = _DOC
+ p = optparse.OptionParser(usage=usage, epilog=epilog)
+ p.format_epilog = lambda formatter: epilog+'\n'
+
+ p.add_option('-i', '--input', dest='input', metavar='FILE',
+ help='If set, read data from FILE rather than stdin.')
+ p.add_option('-o', '--output', dest='output', metavar='FILE',
+ help=('If set, save the figure to FILE rather than '
+ 'displaying it immediately'))
+ p.add_option('-s', '--size', dest='size', default='%d,%d' % (16, 16),
+ help='Data size (columns,rows; default: %default)')
+ p.add_option('-3', '--xyz', dest='xyz', default=False, action='store_true',
+ help=('If set, read (x,y,z) tuples from the input data rather'
+ 'then reading `z` and calculating `x` and `y` from '
+ '`--size`.'))
+ p.add_option('-c', '--contours', dest='contours', type='int',
+ help=('Number of contour lines (if not set, draw false color '
+ 'instead of contour lines; default: %default)'))
+ p.add_option('-f', '--full-figure', dest='full', action='store_true',
+ help=('Set axes to fill the figure (i.e. no title or color '
+ 'bar'))
+ p.add_option('-t', '--title', dest='title', default='Some like it hot',
+ help='Title (%default)')
+ p.add_option('--test', dest='test', action='store_true',
+ help='Run internal tests and exit.')
+ interpolations = get_possible_interpolations()
+ p.add_option('--interpolation', dest='interpolation', default='nearest',
+ help=('Interpolation scheme (for false color images) from %s '
+ '(%%default)') % ', '.join(interpolations))
+ maps=[m for m in pylab.cm.datad if not m.endswith("_r")]
+ maps.sort()
+ p.add_option('-m', '--color-map', dest='cmap', default='jet',
+ help='Select color map from %s (%%default)' % ', '.join(maps))
+
+ options,args = p.parse_args(argv)
+
+ if options.test:
+ sys.exit(test())
+
+ nx,ny = [int(x) for x in options.size.split(',')]
+ try:
+ cmap = getattr(pylab.cm, options.cmap)
+ except AttributeError:
+ raise Exception('no color map named %s in %s'
+ % (options.cmap, ', '.join(maps)))
+
+ print('Plot_image')
+ print('Title: {0}'.format(options.title))
+ if not options.xyz:
+ print('Image size: {0} {1}'.format(nx, ny))
+ if options.contours:
+ print('# countour lines: {0}'.format(options.contours))
+ else:
+ print('False color')
+ if options.input:
+ fin = open(options.input, 'r')
+ else:
+ fin = sys.stdin
+
+ if options.xyz:
+ X,Y,Z = read_data_3d(fin)
+ else:
+ X,Y,Z = read_data_1d(fin, nx, ny)
+
+ if options.input:
+ fin.close()
+
+ Z_min = numpy.min(Z.flat)
+ Z_max = numpy.max(Z.flat)
+ print('X range: {0} {1} ({2} steps)'.format(
+ X[0,0], X[0,-2], X.shape[1]))
+ print('Y range: {0} {1} ({2} steps)'.format(
+ Y[0,0], Y[-2,0], Y.shape[0]))
+ print('Z range: {0} {1}'.format(Z_min, Z_max))
+
+ fig = plot(X, Y, Z, full=options.full, title=options.title,
+ contours=options.contours, interpolation=options.interpolation,
+ cmap=cmap)
+
+ if options.output:
+ fig.savefig(options.output)
+ else:
+ pylab.show()
+
+
+if __name__ == '__main__':
+ main()
projects / assignment-template.git / commitdiff