`astropy.io.fits.hdu.image:PrimaryHDU.init`

source: /astropy/io/fits/hdu/image.py:1086

Signature

def __init__(self, data = None, header = None, do_not_scale_image_data = False, ignore_blank = False, uint = True, scale_back = None)

Construct a primary HDU.

data : array or ``astropy.io.fits.hdu.base.DELAYED``, optional: The data in the HDU.
header : `~astropy.io.fits.Header`, optional: The header to be used (as a template). If header is None, a minimal header will be provided.
do_not_scale_image_data : bool, optional: If True, image data is not scaled using BSCALE/BZERO values when read. (default: False)
ignore_blank : bool, optional: If True, the BLANK header keyword will be ignored if present. Otherwise, pixels equal to this value will be replaced with NaNs. (default: False)
uint : bool, optional: Interpret signed integer data where BZERO is the central value and BSCALE == 1 as unsigned integer data. For example, int16 data with BZERO = 32768 and BSCALE = 1 would be treated as uint16 data. (default: True)
scale_back : bool, optional: If True, when saving changes to a file that contained scaled image data, restore the data to the original type and reapply the original BSCALE/BZERO values. This could lead to loss of accuracy if scaling back to integer values after performing floating point operations on the data. Pseudo-unsigned integers are automatically rescaled unless scale_back is explicitly set to False. (default: None)