Skip to main content

pymangle

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.

examples

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

build and install python library

# using pip
pip install pymangle

# from source
python setup.py install --prefix=/some/path

tests

python -c 'import pymangle; pymangle.test.test()

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sdss_pymangle-0.9.3.tar.gz (31.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sdss_pymangle-0.9.3-cp312-cp312-macosx_14_0_x86_64.whl (60.1 kB view details)

Uploaded CPython 3.12macOS 14.0+ x86-64

File details

Details for the file sdss_pymangle-0.9.3.tar.gz.

File metadata

  • Download URL: sdss_pymangle-0.9.3.tar.gz
  • Upload date:
  • Size: 31.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for sdss_pymangle-0.9.3.tar.gz
Algorithm Hash digest
SHA256 1b25e4b776a0a4b8f44891b7915346be8c946fadbf8d01463db3c7557d056cb8
MD5 da996c11e2ccfc97c0cff7db18182104
BLAKE2b-256 819acac79dc155540f174d7ca38c207096c81146a39798293d1f328b4a99e848

See more details on using hashes here.

File details

Details for the file sdss_pymangle-0.9.3-cp312-cp312-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for sdss_pymangle-0.9.3-cp312-cp312-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 2c971db43da74a188b7cfe58cb90f836baa962428a1950ada0f8bcbaadeb6a89
MD5 f39d83b408314d2138795b3fc4e55a02
BLAKE2b-256 0f8965ea23511d7eeffa3af95a81248110009086dabe75446368f847043e45ea

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.9.3 This release

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page