Created pl-vineyard.cpp to compute vineyards given a complex and a sequence of values at each vertex
#!/usr/bin/env python
from pylab import scatter, show, cm, colorbar, savefig, axis, \
figure, xlim, axes, hsv, subplots_adjust as adjust
from itertools import izip
from sys import argv, exit
import os.path as osp
def plot(val_fn, pts_fn, output_fn):
points = []
with open(pts_fn) as fp:
for line in fp.xreadlines():
points.append(map(float, line.split()))
values = []
with open(val_fn) as fp:
for line in fp.xreadlines():
values.append(float(line.split()[1]))
xx = [pt[0] for pt in points]
yy = [pt[1] for pt in points]
print "X:", min(xx), max(xx)
print "Y:", min(yy), max(yy)
m = min(values)
values = [(v-m) % 1. for v in values]
print "V:", min(values), max(values)
# hsv()
fig = figure()
scatter(xx,yy,s=10,c=values)
colorbar()
# ax = fig.add_axes([-.05,-.1,1.1,1.1])
ax = axes()
ax.set_axis_off()
ax.set_aspect('equal', 'box')
# adjust(0,0,1,1,0,0)
fig.savefig(output_fn)
if __name__ == '__main__':
if len(argv) < 3:
print "Usage: %s VALUES POINTS" % argv[0]
exit()
val_fn = argv[1]
pts_fn = argv[2]
output_fn, ext = osp.splitext(val_fn)
output_fn += '.pdf'
plot(val_fn, pts_fn, output_fn)