API

reproject Package

Astropy affiliated package for image reprojection (resampling).

Functions

reproject_adaptive(input_data, output_projection)	Reproject a 2D array from one WCS to another using the DeForest (2004) adaptive, anti-aliased resampling algorithm, with optional flux conservation.
reproject_exact(input_data, output_projection)	Reproject data to a new projection using flux-conserving spherical polygon intersection (this is the slowest algorithm).
reproject_from_healpix(input_data, ...[, ...])	Reproject data from a HEALPIX projection to a standard projection.
reproject_interp(input_data, output_projection)	Reproject data to a new projection using interpolation (this is typically the fastest way to reproject an image).
reproject_to_healpix(input_data, ...[, ...])	Reproject data from a standard projection to a HEALPIX projection.

reproject.hips Package

Functions

coadd_hips(input_directories, output_directory)	Given multiple HiPS directories, combine these into a single HiPS.
hips_as_dask_array(directory_or_url, *[, level])	Return a dask array and WCS that represent a HiPS dataset at a particular level.
reproject_from_hips()
reproject_to_hips(input_data, *, ...[, ...])	Reproject data from a standard projection to a set of Hierarchical Progressive Surveys (HiPS) tiles.

reproject.mosaicking Package

Functions

find_optimal_celestial_wcs(input_data[, ...])	Given one or more images, return an optimal WCS projection object and shape.
reproject_and_coadd(input_data, ...[, ...])	Given a set of input data, reproject and co-add these to a single final image.