# reproject_to_healpix¶

reproject.reproject_to_healpix(input_data, coord_system_out, hdu_in=None, order='bilinear', nested=False, nside=128)[source]

Reproject data from a standard projection to a HEALPIX projection.

Note

This function uses healpy, which is licensed under the GPLv2, so any package using this funtions has to (for now) abide with the GPLv2 rather than the BSD license.

Parameters: input_data : str or HDUList or PrimaryHDU or ImageHDU or tuple The input data to reproject. This can be: The name of a FITS file An HDUList object An image HDU object such as a PrimaryHDU or ImageHDU instance A tuple where the first element is a ndarray and the second element is either a WCS or a Header object coord_system_out : BaseCoordinateFrame or str The output coordinate system for the HEALPIX projection hdu_in : int or str, optional If input_data is a FITS file or an HDUList instance, specifies the HDU to use. order : int or str, optional The order of the interpolation (if mode is set to 'interpolation'). This can be either one of the following strings: ‘nearest-neighbor’ ‘bilinear’ ‘biquadratic’ ‘bicubic’ or an integer. A value of 0 indicates nearest neighbor interpolation. nested : bool The order of the healpix_data, either nested (True) or ring (False) nside : int, optional The resolution of the HEALPIX projection. array_new : ndarray The reprojected array footprint : ndarray Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values.