bundles / astropy latest / astropy / io / fits / hdu / image / PrimaryHDU / __init__
function
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 ) Summary
Construct a primary HDU.
Parameters
data: array or ``astropy.io.fits.hdu.base.DELAYED``, optionalThe data in the HDU.
header: `~astropy.io.fits.Header`, optionalThe header to be used (as a template). If
headerisNone, a minimal header will be provided.do_not_scale_image_data: bool, optionalIf
True, image data is not scaled using BSCALE/BZERO values when read. (default: False)ignore_blank: bool, optionalIf
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, optionalInterpret signed integer data where
BZEROis the central value andBSCALE == 1as unsigned integer data. For example,int16data withBZERO = 32768andBSCALE = 1would be treated asuint16data. (default: True)scale_back: bool, optionalIf
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 toFalse. (default: None)
Aliases
-
astropy.io.fits.PrimaryHDU.__init__