casda_prepare

Prepare files for CASDA upload

Attributes

`cli`()	Command line interface
`convert_pdf`(→ None)	Convert a PDF to a PNG
`convert_spectra`(→ str)	Convert a ascii spectrum to FITS
`find_cubes`(→ list)	Find Stokes I image cubelets in a directory
`find_plots`(→ list)	Find plots in a directory
`find_spectra`(→ list)	Find spectra in from cutouts directory
`init_polspec`(casda_dir, spectrum_table_0[, outdir])
`main`(polcatf[, data_dir, prep_type, do_update_cubes, ...])	Main function
`make_thumbnail`(cube_f, cube_dir)
`update_cube`(→ None)	Update cube headers and symlink to CASDA area
`write_polspec`(table, filename[, overwrite])	Write the polspectra to a FITS file.

casda_prepare.convert_pdf(pdf_file: str, plots_dir: str, spec_dir: str) → None[source]

Convert a PDF to a PNG

casda_prepare.convert_spectra(number: int, spectrum: str, fname_polcat_hash: str, spec_dir: str = '.') → str[source]

Convert a ascii spectrum to FITS

Parameters:

spectrum (str) – Name of ASCII spectrum file
spec_dir (str, optional) – Directory to save FITS spectrum. Defaults to ‘.’.

casda_prepare.find_cubes(data_dir: str = '.') → list[source]

Find Stokes I image cubelets in a directory

Parameters:: data_dir (str, optional) – Data containg cutouts directory. Defaults to “.”.
Returns:: List of cubelets
Return type:: list

casda_prepare.find_plots(data_dir: str = '.') → list[source]

Find plots in a directory

Parameters:: data_dir (str, optional) – Data containg cutouts directory. Defaults to “.”.
Returns:: List of plots
Return type:: list

casda_prepare.find_spectra(data_dir: str = '.') → list[source]

Find spectra in from cutouts directory

Parameters:: data_dir (str, optional) – Directory containing cutouts directory. Defaults to “.”.
Returns:: List of spectra in ascii format
Return type:: list

casda_prepare.init_polspec(casda_dir: str, spectrum_table_0: str, outdir: str = '')[source]

casda_prepare.main(polcatf: str, data_dir: str = '.', prep_type: str = 'test', do_update_cubes: bool = False, do_convert_spectra: bool = False, do_convert_plots: bool = False, verbose: bool = False, batch_size: int = 10, outdir=None)[source]: Main function

casda_prepare.update_cube(cube: str, cube_dir: str) → None[source]

Update cube headers and symlink to CASDA area

Parameters:

casda_prepare.write_polspec(table: astropy.table.Table, filename: str, overwrite: bool = False)[source]

Write the polspectra to a FITS file. :Parameters: * table – astropy.table.Table

filename – str Name and relative path of the file to save to.

overwrite – bool [False] Overwrite the file if it already exists?