API Reference

ccdproc Package

The ccdproc package is a collection of code that will be helpful in basic CCD processing. These steps will allow reduction of basic CCD data as either a stand-alone processing or as part of a pipeline.

Functions

background_deviation_box(data, bbox)	Determine the background deviation with a box size of bbox.
background_deviation_filter(data, bbox)	Determine the background deviation for each pixel from a box with size of bbox.
bitfield_to_boolean_mask(bitfield[, …])	Convert an integer bit field to a boolean mask.
block_average(ccd, block_size)	Like block_reduce but with predefined func=np.mean.
block_reduce(ccd, block_size[, func])	Thin wrapper around astropy.nddata.block_reduce.
block_replicate(ccd, block_size[, conserve_sum])	Thin wrapper around astropy.nddata.block_replicate.
ccd_process(ccd[, oscan, trim, error, …])	Perform basic processing on ccd data.
ccdmask(ratio[, findbadcolumns, byblocks, …])	Uses method based on the IRAF ccdmask task to generate a mask based on the given input.
combine(img_list[, output_file, method, …])	Convenience function for combining multiple images.
cosmicray_lacosmic(ccd[, sigclip, sigfrac, …])	Identify cosmic rays through the lacosmic technique.
cosmicray_median(ccd[, error_image, thresh, …])	Identify cosmic rays through median technique.
create_deviation(ccd_data[, gain, …])	Create a uncertainty frame.
flat_correct(ccd, flat[, min_value, norm_value])	Correct the image for flat fielding.
gain_correct(ccd, gain[, gain_unit])	Correct the gain in the image.
median_filter(data, \*args, \*\*kwargs)	See scipy.ndimage.median_filter for arguments.
rebin(ccd, newshape)	Deprecated since version 1.1.
sigma_func(arr[, axis])	Robust method for calculating the deviation of an array.
subtract_bias(ccd, master[, add_keyword])	Subtract master bias from image.
subtract_dark(ccd, master[, dark_exposure, …])	Subtract dark current from an image.
subtract_overscan(ccd[, overscan, …])	Subtract the overscan region from an image.
test([package, test_path, args, plugins, …])	Run the tests using py.test.
transform_image(ccd, transform_func, \*\*kwargs)	Transform the image.
trim_image(ccd[, fits_section, add_keyword])	Trim the image to the dimensions indicated.
wcs_project(ccd, target_wcs[, target_shape, …])	Given a CCDData image with WCS, project it onto a target WCS and return the reprojected data as a new CCDData image.

Classes

Combiner(ccd_list[, dtype])	A class for combining CCDData objects.
Conf	Configuration parameters for ccdproc.
ImageFileCollection([location, keywords, …])	Representation of a collection of image files.
Keyword(name[, unit, value])

Class Inheritance Diagram

ccdproc.utils.slices Module

Define utility functions and classes for ccdproc

Functions

slice_from_string(string[, fits_convention])

Convert a string to a tuple of slices.