FITSbits is a Python package that contains various utilities for handling FITS files.
To install fitsbits from the Python Package Index (PyPI):
$ pip install fitsbits
See the installation instructions below for details.
This package requires Python >= 3.6.
-
compression.py: contains functions to perform safe and atomic compression and decompression of FITS files in gzip and fpack formats. Requires the GNU gzip and CFITSIO fpack/funpack utilities.
-
export.py: contains functions to export FITS images as JPEGs, generating stamps for FITS images and exporting these as PNGs, and turning collections of FITS JPEGs into movies.
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files.py: contains functions to work on collections of FITS files: parallelized extraction of header information (including regex matching), sorting and filtering by FITS header keys; group frames by pointing, observed object, image type, or file name patterns; and parallel compression and uncompression for FITS file lists or directories.
-
operations.py: contains functions to perform various header and data extraction operations on FITS files.
-
quality.py: contains functions that help assess the quality of FITS images: including extracting image backgrounds, tiling images, checking for image curvature and vignetting, and calculating image statistics.
-
fits2export.py: command-line utility available as
fitsbits-export
when this package is installed; exports a FITS image to a full JPEG or PNG, stamp PNG, or JPEGs/PNGs of specified regions (RA/Dec or x/y coordinate boxes). -
fits2mp4.py: command-line utility available as
fitsbits-movie
when this package is installed; converts a series of FITS images to a MP4 movie. Requires FFmpeg. -
fitshdr.py: command-line utility available as
fitsbits-header
when this package is installed; extracts and dumps a FITS file's header to stdout.
Please see https://github.com/waqasbhatti/fitsbits/blob/master/CHANGELOG.md for a list of changes applicable to tagged release versions.
This package requires the following other packages:
- numpy
- scipy
- astropy
- Pillow
- filelock
- tenacity
- scikit-learn
You can install fitsbits with:
(venv)$ pip install fitsbits
Install the latest version (may be unstable at times):
$ git clone https://github.com/waqasbhatti/fitsbits
$ cd fitsbits
$ python setup.py install
$ # or use pip install . to install requirements automatically
$ # or use pip install -e . to install in develop mode along with requirements
fitsbits
is provided under the MIT License. See the LICENSE file for the full
text.