def _add_dist_background(self, back_dict, numreal):
"""Drawing background values from distributions
specified in dictionary
Args:
back_dict (OrderedDict): parameters and distributions
numreal (int): Number of samples to generate
"""
mc_background = MonteCarloSensitivity("background")
mc_background.generate(
range(numreal), back_dict["parameters"], "None", back_dict["correlations"]
)
mc_backgroundvalues = mc_background.sensvalues
# Rounding of background values as specified
if "decimals" in back_dict.keys():
for key in back_dict["decimals"].keys():
if design_dist.is_number(mc_backgroundvalues[key].iloc[0]):
mc_backgroundvalues[key] = (
mc_backgroundvalues[key]
.astype(float)
.round(int(back_dict["decimals"][key]))
)
else:
raise ValueError("Cannot round a string parameter")
self.backgroundvalues = mc_backgroundvalues.copy()
def _set_decimals(self, dict_decimals):
"""Rounding to specified number of decimals
Args:
dict_decimals (dictionary): (key, value)s are (param, decimals)
"""
for key in self.designvalues.keys():
if key in dict_decimals.keys():
if design_dist.is_number(self.designvalues[key].iloc[0]):
self.designvalues[key] = (
self.designvalues[key].astype(float).round(
int(dict_decimals[key])))
else:
raise ValueError(
"Cannot round a string parameter {}".format(key))