def from_until_sample(self, start, end, sample_period=None, skip=None, fields=None):
""" retrieve service from start to end date as numpy array.
start : starttime in FJD
end : end time in FJD
keyword arguments:
sample_period : time(in days) into which the request should be splitted --> skip
skip : number of periods, which should be skipped during request
fields : list of field names to be requested [default: all fields]
"""
if not sample_period is None:
sample_boundaries = np.arange(start, end, sample_period)
else:
sample_boundaries = np.array([start, end])
samples_start = sample_boundaries[0:-1:skip]
samples_end = sample_boundaries[1::skip]
dict_list = []
for _start, _end in zip(samples_start, samples_end):
start_stop_dict = { "Time":{
"$gte": float(_start),
"$lt": float(_end)}}
dict_list.append(start_stop_dict)
if not fields is None:
cursor = self.__collection.find({"$or": dict_list }, fields=fields)
else:
cursor = self.__collection.find({"$or": dict_list })
return tools.cursor_to_structured_array(cursor)
def from_until(self, start, end):
""" retrieve field from start to end date as numpy array.
"""
cursor = self.__collection.find({"Time": {"$gte": start, "$lt": end}})
return tools.cursor_to_structured_array(cursor)
