giant.catalogues.meta_catalogue.GIANT_TYPES¶
- giant.catalogues.meta_catalogue.GIANT_TYPES: List[Type] = [<class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>, <class 'numpy.float64'>]¶
This specifies the data type for each column of the GIANT star dataframe.
This is generally all double precision float values, though that could change in a future release.
This can be used with the
GIANT_COLUMNS
list to create a numpy structured dtype that mimics the Pandas DataFramenp.dtype(list(zip(GIANT_COLUMNS, GIANT_NAMES)))