astropy.io.fits.PrimaryHDU() ⚬ Entries

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astropy.io.fits.PrimaryHDU() ⚬｜Documentation｜1st｜20251021191401-00-⌔

Header Data Unit — Astropy v7.2.0#astropy.io.fits.PrimaryHDU

class astropy.io.fits.PrimaryHDU(data=None, header=None, do_not_scale_image_data=False, ignore_blank=False, uint=True, scale_back=None)

Bases: _ImageBaseHDU

FITS primary HDU class.

Construct a primary HDU.

Parameters:

data: array or astropy.io.fits.hdu.base.DELAYED, optional

The data in the HDU.

header: 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)

Printed 2026-06-28.

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