Observations

class gammapy.data.Observations(observations=None)

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)

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)

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()

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

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

Raises ValueError if the value is not present.

Supporting start and stop arguments is optional, but recommended.

insert(idx, obs)

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)

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.