Skip to main content

Simple FITS files I/O package

Project description

============================================
pycfitsio: Python ctypes wrapper for cfitsio
============================================

Features
========

* read binary tables using hdu and column names into simple dictionaries of arrays
* write FITS files incrementally 1 HDU at a time

Requirements
============
pycfitsio requires the dynamic library cfitsio, in linux it usually packaged as libcfitsio-dev

Install
=======

pip install pycfitsio #stable version

# for development version clone from github and run
python setup.py install

Examples
=======

Reading
_______

f = pycfitsio.open("debug/data.fits")

hdulist = f.HDUs

print(hdulist)
OrderedDict([('DATA', HDU: DATA)])

hdu = f['DATA']

column_array = f['DATA'].read_column('signal')

#read columns as array with custom dtype
all_columns = f['DATA'].read_all()
print(all_columns)
array([(0.0, 1), (1.0, 1), (2.0, 1), (3.0, 1), (4.0, 1), (5.0, 1),
(6.0, 1), (7.0, 1), (8.0, 1), (9.0, 1), (10.0, 1), (11.0, 1),
(12.0, 1), (13.0, 1), (14.0, 1), (15.0, 1), (16.0, 1), (17.0, 1),

(992.0, 1), (993.0, 1), (994.0, 1), (995.0, 1), (996.0, 1),
(997.0, 1), (998.0, 1), (999.0, 1)],
dtype=[('signal', '<f8'), ('flag', ' u1')])

#read columns as OrderedDict of arrays
all_columns = f['DATA'].read_all(asodict=True)
print(all_columns)
OrderedDict([('signal', array([ 0., 1. ....])), 'flag', array([1, 1, ....])])

Writing
_______

from collections import OrderedDict
f = pycfitsio.create('file.fits')
f.write_HDU_dict('OBT', OrderedDict(
OBT=np.arange(100)
))
f.write_HDU_dict('LFI27M', OrderedDict(
LFI27M=np.arange(100, dtype=np.double)
))
f.write_HDU_dict('PID', OrderedDict(
PID=np.arange(1000, dtype=np.uint8)
))
f.close()

Project details


Download files

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

Source Distribution

pycfitsio-0.1.0.tar.gz (5.9 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page