sigma_calcs¶
-
cosmo_utils.utils.stats_funcs.
sigma_calcs
(data_arr, type_sigma='std', perc_arr=[68.0, 95.0, 99.7], return_mean_std=False)[source] [edit on github]¶ Calcualates the 1-, 2-, and 3-sigma ranges for
data_arr
Parameters: data_arr :
numpy.ndarray
, shape( param_dict[‘nrpbins’], param_dict[‘itern_tot’])array of values, from which to calculate percentiles or St. Dev.
type_sigma : {‘perc’, ‘std’} string, optional (default = ‘std’)
- Option for calculating either
percentiles
orstandard deviations
- ‘perc’: calculates percentiles
- ‘std’ : uses standard deviations as 1-, 2-, and 3-sigmas
perc_arr : array_like, optional (default = [68., 95., 99.7])
Array of percentiles to calculate
return_mean_std :
bool
, optional (default = False)Option for returning mean and St. Dev. along with
sigma_dict
- Option for calculating either