pixell
Project description
pixell
pixell is a library for loading, manipulating and analyzing maps stored in rectangular pixelization. It is mainly targeted for use with maps of the sky (e.g. CMB intensity and polarization maps, stacks of 21 cm intensity maps, binned galaxy positions or shear) in cylindrical projection, but its core functionality is more general. It extends numpy’s ndarray to an ndmap class that associates a World Coordinate System (WCS) with a numpy array. It includes tools for Fourier transforms (through numpy or pyfft) and spherical harmonic transforms (through libsharp) of such maps and tools for visualization (through the Python Image Library).
Free software: BSD license
Documentation: https://pixell.readthedocs.io.
Dependencies
Python>=2.7 or Python>=3.4
gcc/gfortran or Intel compilers (clang might not work out of the box)
libsharp (downloaded and installed)
automake (for libsharp compilation)
healpy, Cython, astropy, numpy, scipy, matplotlib, pyyaml, h5py, Pillow (Python Image Library)
Installing
To install, run:
$ python setup.py install --user
To test the installation, you can run:
$ python setup.py test
Existing libsharp installation (optional)
Libsharp is installed automatically by setup.py. If instead you want to use an existing libsharp installation, you can do so by symlinking the libsharp directory into a directory called _deps in the root directory, such that the file pixell/_deps/libsharp/libsharp/sharp.c exists.
Intel compilers
Intel compilers might require a two step installation as follows
$ python setup.py build_ext -i --fcompiler=intelem --compiler=intelem
$ python setup.py install --user
Development workflow (recommended)
If you are a developer, run:
$ python setup.py build_ext -i
and add the cloned directory to your Python path so that changes you make in any python file are immediately reflected. e.g., in your .bashrc file,
export PYTHONPATH=$PYTHONPATH:/path/to/cloned/pixell/directory
If you also need non-Python code to be recompiled, run:
$ python setup.py clean
before the above steps.
To test the installation under development mode, you can run:
$ py.test
This requires the pytest Python package to be installed.
Contributions
If you have write access to this repository, please:
create a new branch
push your changes to that branch
merge or rebase to get in sync with master
submit a pull request on github
If you do not have write access, create a fork of this repository and proceed as described above. For more details, see Contributing.
History
0.1.0 (2018-06-15)
First release on PyPI.
0.5.2 (2019-01-22)
API for most modules is close to converged
Significant number of bug fixes and new features
Versioning system implemented through versioneer and bumpversion
Automated pixel level tests for discovering effects of low-level changes
Project details
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