def get_result(self, result, mtype=None, mean=False, base=False, return_mean=True, **calculation_parameter):
"""
A function that returns a list of all the result calculated from all measurements, that actually have the result
Parameters
----------
result: str:
the result to be calculated
mtype: str or list of str
if provided, only results from that mtype are calculated
calculation_parameter: dict
the calculation parameters to be used
mean: bool
if true the results are calculated for the mean measuremnets
base: bool
if true the results are calculated for the base measurements (needs to be a mean measurement)
return_mean: bool
if true a numpy mean is calculated and returned
Returns
-------
list of results
Note
----
each of the results is a tuple of the actual value and the error if calculated
"""
# get all measurements that have the result
# if mean use only mean measurements
if mean:
mlist = filter(lambda x: x.has_result(result=result), self.mean_measurements)
if base:
mlist = [m for mean in mlist for m in mean.base_measurements if m.has_result(result=result)]
# if not use all non mean measurements
else:
mlist = filter(lambda x: x.has_result(result=result), self.measurements)
if mtype:
mtypes = RockPy3.to_list(mtype)
mlist = filter(lambda x: x.mtype in mtypes, mlist)
res = [getattr(m, 'result_' + result)(**calculation_parameter) for m in mlist]
self.log.debug('Calculating result << {} >> for {} measurements'.format(result, len(res)))
if return_mean:
res = [(np.mean(res, axis=0)[0], np.std(res, axis=0)[0])]
return res
def get_result(self,
result,
mtype=None,
mean=False,
base=False,
return_mean=True,
**calculation_parameter):
"""
A function that returns a list of all the result calculated from all measurements, that actually have the result
Parameters
----------
result: str:
the result to be calculated
mtype: str or list of str
if provided, only results from that mtype are calculated
calculation_parameter: dict
the calculation parameters to be used
mean: bool
if true the results are calculated for the mean measuremnets
base: bool
if true the results are calculated for the base measurements (needs to be a mean measurement)
return_mean: bool
if true a numpy mean is calculated and returned
Returns
-------
list of results
Note
----
each of the results is a tuple of the actual value and the error if calculated
"""
# get all measurements that have the result
# if mean use only mean measurements
if mean:
mlist = filter(lambda x: x.has_result(result=result),
self.mean_measurements)
if base:
mlist = [
m for mean in mlist for m in mean.base_measurements
if m.has_result(result=result)
]
# if not use all non mean measurements
else:
mlist = filter(lambda x: x.has_result(result=result),
self.measurements)
if mtype:
mtypes = RockPy3.to_list(mtype)
mlist = filter(lambda x: x.mtype in mtypes, mlist)
res = [
getattr(m, 'result_' + result)(**calculation_parameter)
for m in mlist
]
self.log.debug(
'Calculating result << {} >> for {} measurements'.format(
result, len(res)))
if return_mean:
res = [(np.mean(res, axis=0)[0], np.std(res, axis=0)[0])]
return res
