def create_combined_fits_file(cls, name: str,
data: ndarray,
file_type_code: int,
image_type_string: str,
exposure: float,
temperature: float,
filter_name: str,
binning: int,
comment: str):
"""Write a new FITS file with the given data and name.
Create a FITS header in the file by copying the header from a given existing file
and adding a given comment"""
# Create header
header = fits.Header()
header["FILTER"] = filter_name
header["COMMENT"] = comment
header["EXPTIME"] = exposure
header["CCD-TEMP"] = temperature
header["SET-TEMP"] = temperature
header["XBINNING"] = binning
header["YBINNING"] = binning
header["PICTTYPE"] = file_type_code
header["IMAGETYP"] = image_type_string
# Create primary HDU
data_16_bit = data.round().astype("i2")
primary_hdu = fits.PrimaryHDU(data_16_bit, header=header)
# Create HDUL
hdul = fits.HDUList([primary_hdu])
# Write to file
hdul.writeto(name, output_verify="fix", overwrite=True, checksum=True)
def create_combined_fits_file(cls, name: str,
data: ndarray,
file_type_code: int,
image_type_string: str,
exposure: float,
temperature: float,
filter_name: str,
binning: int,
comment: str):
"""
Write a new FITS file with the given data and name.
Create a FITS header in the file by copying the header from a given existing file
and adding a given comment
:param name: File name
:param data: 2-dimensional array of pixel values, the file contents
:param file_type_code: What kind of FITS image file is this (dark, bias, flat, etc.)?
:param image_type_string: String for FITS filel "IMGTYP" parameter
:param exposure: Exposure time in seconds
:param temperature: Temperature in degrees if known, else 0
:param filter_name: Name of filter if known
:param binning: Binning value of this frame (1, 2, 3, or 4)
:param comment: General comment describing this file
"""
# Create header
header = fits.Header()
header["FILTER"] = filter_name
header["COMMENT"] = comment
header["EXPTIME"] = exposure
header["CCD-TEMP"] = temperature
header["SET-TEMP"] = temperature
header["XBINNING"] = binning
header["YBINNING"] = binning
header["PICTTYPE"] = file_type_code
header["IMAGETYP"] = image_type_string
# Create primary HDU
data_16_bit = data.round().astype("i2")
primary_hdu = fits.PrimaryHDU(data_16_bit, header=header)
# Create HDUL
hdul = fits.HDUList([primary_hdu])
# Write to file
hdul.writeto(name, output_verify="fix", overwrite=True, checksum=True)