Observations#

class gammapy.data.Observations(observations=None)[source]#

Bases: MutableSequence

Container class that holds a list of observations.

Parameters:
observationslist

A list of Observation.

Attributes Summary

ids

List of observation IDs (list).

Methods Summary

append(value)

S.append(value) -- append value to the end of the sequence

clear()

count(value)

extend(values)

S.extend(iterable) -- extend sequence by appending elements from the iterable

from_stack(observations_list)

Create a new Observations instance by concatenating a list of Observations objects.

group_by_label(labels)

Split observations in multiple groups of observations.

in_memory_generator()

A generator that iterates over observation.

index(value, [start, [stop]])

Raises ValueError if the value is not present.

insert(idx, obs)

S.insert(index, value) -- insert value before index

pop([index])

Raise IndexError if list is empty or index is out of range.

remove(value)

S.remove(value) -- remove first occurrence of value.

reverse()

S.reverse() -- reverse IN PLACE

select_time(time_intervals)

Select a time interval of the observations.

Attributes Documentation

ids#

List of observation IDs (list).

Methods Documentation

append(value)#

S.append(value) – append value to the end of the sequence

clear() None -- remove all items from S#
count(value) integer -- return number of occurrences of value#
extend(values)#

S.extend(iterable) – extend sequence by appending elements from the iterable

classmethod from_stack(observations_list)[source]#

Create a new Observations instance by concatenating a list of Observations objects.

Parameters:
observations_listlist of Observations

The list of Observations to stack.

Returns:
observationsObservations

The Observations object resulting from stacking all the Observations in observation_list.

group_by_label(labels)[source]#

Split observations in multiple groups of observations.

Parameters:
labelslist or numpy.ndarray

Array of group labels.

Returns:
obs_clustersdict of Observations

Dictionary of Observations instance, one instance for each group.

in_memory_generator()[source]#

A generator that iterates over observation. Yield an in memory copy of the observation.

index(value[, start[, stop]]) integer -- return first index of value.[source]#

Raises ValueError if the value is not present.

Supporting start and stop arguments is optional, but recommended.

insert(idx, obs)[source]#

S.insert(index, value) – insert value before index

pop([index]) item -- remove and return item at index (default last).#

Raise IndexError if list is empty or index is out of range.

remove(value)#

S.remove(value) – remove first occurrence of value. Raise ValueError if the value is not present.

reverse()#

S.reverse() – reverse IN PLACE

select_time(time_intervals)[source]#

Select a time interval of the observations.

Parameters:
time_intervalsastropy.time.Time or list of astropy.time.Time

List of start and stop time of the time intervals or one time interval.

Returns:
new_observationsObservations

A new Observations instance of the specified time intervals.