pyuvdata defines a pythonic interface to interferometric data sets. Currently pyuvdata supports reading and writing of miriad, uvfits, and uvh5 files and reading of CASA measurement sets and FHD (Fast Holographic Deconvolution) visibility save files.
The three main goals are:
To provide a high quality, well documented path to convert between data formats
Support the direct use of datasets from python with minimal software
Provide precise data definition via both human readable code and high quality online documentation
pyuvdata has three major user classes:
UVData: supports interferometric data (visibilities) and associated metadata
UVCal: supports interferometric calibration solutions (antenna-based) and associated metadata (Note that this is a fairly new object, consider it to be a beta version)
UVBeam: supports primary beams (E-field or power) and associated metadata (Note that this is a new object and is very experimental, consider it to be an alpha version)
UVData File standard notes¶
miriad has been throughly tested with aipy-style miriad files and minimally tested with ATCA files
uvfits conforms to AIPS memo 117 (as of May 2015). It is tested against FHD, CASA, and AIPS. However AIPS is limited to <80 antennas and CASA uvfits import does not seem to support >255 antennas.
uvh5 is an HDF5-based file format defined by the HERA collaboration, details in the uvh5 memo. Note that this is a new format and is still under development, consider it to be a beta version, but we will strive to make future versions backwards compatible with the current format. It is probably not compatible with other interferometric HDF5 files defined by other groups.
FHD (read-only support, tested against MWA and PAPER data)
CASA measurement sets (read-only support)
UVCal file formats¶
calfits: a new format defined in pyuvdata, details in the calfits_memo. Note that this format was recently defined and may change in coming versions, based on user needs. Consider it to be a beta version, but we will strive to make future versions backwards compatible with the current format.
FHD calibration files (read-only support)
UVBeam file formats¶
regularly gridded fits for both E-field and power beams
non-standard HEALPix fits for both E-field and power beams (in an ImageHDU rather than a binary table to support frequency, polarization and E-field vector axes)
read support for CST beam text files, with a defined yaml file format for metadata, details here: cst settings file
UVData: uvh5 file format (beta version), note that this is probably not compatible with other interferometric HDF5 files defined by other groups.
UVCal: object and calfits file format (beta version)
UVBeam: object and beamfits file format (alpha version)
Known Issues and Planned Improvements¶
UVData: phasing (and the accuracy on the uvw coordinates) is only known to be good to 2cm on a 3km baseline (this is limited by the accuracy of the test file, see the phasing memo for more details).
UVData: Multiple spectral windows or multiple sources are not currently supported
UVData: add support for writing CASA measurement sets
UVBeam: support phased-array antenna beams (e.g. MWA beams).
UVCal/UVData: method to apply calibration to data.
package version detection can cause issues with installation directly from the repo for some users (see issue #590)
For details see the issue log.
We use a
generation.major.minor version number format. We use the
generation number for very significant improvements or major
major number to indicate substantial package changes
(intended to be released every 3-4 months) and the
minor number to
release smaller incremental updates (intended to be released
approximately monthly and which usually do not include breaking API
changes). We do our best to provide a significant period (usually 2
major generations) of deprecation warnings for all breaking changes to
the API. We track all changes in our
A tutorial with example usage and developer API documentation is hosted on ReadTheDocs.
pyuvdata was originally developed in the low frequency 21cm community to support the development of and interchange of data between calibration and foreground subtraction pipelines. Particular focus has been paid to supporting drift and phased array modes.
Please cite pyuvdata by citing our JOSS paper:
Hazelton et al, (2017), pyuvdata: an interface for astronomical interferometeric datasets in python, Journal of Open Source Software, 2(10), 140, doi:10.21105/joss.00140
For simple installation, the latest stable version is available via
conda install -c conda-forge pyuvdata) or pip
pip install pyuvdata).
There are some optional dependencies that are required for specific functionality, which will not be installed automatically by conda or pip. See Dependencies for details on installing optional dependencies.
Optionally install the development version¶
First install the dependencies, see Dependencies for package recommendations and optional dependencies for specific use cases.
Clone the repository using
git clone https://github.com/RadioAstronomySoftwareGroup/pyuvdata.git
Navigate into the pyuvdata directory and run
pip install .. Note
that this will attempt to automatically install any missing
dependencies. If you use anaconda or another package manager you might
prefer to first install the dependencies as described in
To install without dependencies, run
pip install --no-deps
To compile the binary extension modules such that you can successfully
import pyuvdata from the top-level directory of your Git
python setup.py build_ext --inplace
numpy >= 1.15
astropy >= 2.0
h5py (for reading and writing uvh5 format)
python-casacore (for working with CASA measurement sets)
healpy (for working with beams in HEALPix formats)
pyyaml (for working with settings files for CST beam files)
The numpy and astropy versions are important, so make sure these are up to date.
We suggest using conda to install all the dependencies. If you want to
install python-casacore and healpy, you’ll need to add conda-forge as a
conda config --add channels conda-forge).
If you do not want to use conda, most of the packages are also available on PyPI (except python-casacore, see details for that package below).
python-casacore requires the casacore c++ libraries. It can be installed
easily using conda (
python-casacore on conda-forge).
If you do not want to use conda, the casacore c++ libraries are available for ubuntu through the kern suite. On OSX, casacore is available through the ska-sa brew tap. The python-casacore library (with manual install instructions) is available at https://github.com/casacore/python-casacore
pytest package to execute test suite. From the source
pyuvdata directory run
python -m pytest.
The primary interface to data from python is via the UVData object. It provides import functionality from all supported file formats (UVFITS, Miriad, UVH5, FHD, CASA measurement sets) and export to UVFITS, Miriad, and UVH5 formats and can be interacted with directly. Similarly, the primary calibration and beam interfaces are via the UVCal and UVBeam objects. The attributes of the UVData, UVCal and UVBeam objects are described in the uvdata_parameters, uvcal_parameters and uvbeam_parameters descriptions.