A python code to read and work with Mangle masks.
The underlying code is in C for speed, and is based on some C++ code written by Martin White. Martin has posted his C++ code at https://github.com/martinjameswhite/litemangle
Currently supports ascii mangle polygon files, with and without pixelization. The code works in python2 and python3
Authors: Erin Sheldon. Long double support added by Eli Rykoff.
import pymangle
# read a mangle polygon file
m=pymangle.Mangle("mask.ply")
# test an ra,dec point against the mask
good = m.contains(200.0, 0.0)
# test arrays of ra,dec points against the mask
ra=numpy.array([200.0, 152.7])
dec=numpy.array([0.0, -15.0])
good = m.contains(ra, dec)
# get the polygon ids
ids = m.polyid(ra,dec)
# get the weights
weights = m.weight(ra,dec)
# get poth polyids and weights
ids, weights = m.polyid_and_weight(ra, dec)
# generate random points
ra_rand, dec_rand = m.genrand(1000)
# generate randoms from the mask and with the additional constraint that they
# are within the specified rectangle. This speeds things up if your mask is
# relatively small compared to the full sphere; choose the box just big enough
# to contain the mask.
ra_min=200.0
ra_max=210.0
dec_min=0.0
dec_max=10.0
ra_rand, dec_rand = m.genrand_range(1000,ra_min,ra_max,dec_min,dec_max)
# get the polygon weights
weights = m.weights
# read in a new set of weights
m.read_weightfile(weightfile)
# set the weights
m.weights = weight_array
# using pip
pip install pymangle
# from source
python setup.py install --prefix=/some/path
python -c 'import pymangle; pymangle.test.test()