reproject_interp

reproject.reproject_interp(input_data, output_projection, shape_out=None, hdu_in=0, order='bilinear', output_array=None, return_footprint=True)

Reproject data to a new projection using interpolation (this is typically the fastest way to reproject an image).

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, ImageHDU, or CompImageHDU instance
• A tuple where the first element is a ndarray and the second element is either a WCS or a Header object

output_projection : WCS or Header

The output projection, which can be either a WCS or a Header instance.

shape_out : tuple, optional

If output_projection is a WCS instance, the shape of the output data should be specified separately.

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. This can be any of the following strings:

• ‘nearest-neighbor’
• ‘bilinear’
• ‘biquadratic’
• ‘bicubic’

or an integer. A value of 0 indicates nearest neighbor interpolation.

output_array : None or ndarray

An array in which to store the reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files.

return_footprint : bool

Whether to return the footprint in addition to the output array.

Returns:

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.