Models

class gammapy.modeling.models.Models(models=None)

Bases: collections.abc.MutableSequence

Sky model collection.

Parameters

modelsSkyModel, list of SkyModel or Models

Sky models

Attributes Summary

covariance
names
parameters
parameters_unique_names

Methods Summary

append(self, value)	S.append(value) – append value to the end of the sequence
clear(self)
copy(self)	A deep copy.
count(self, value)
extend(self, values)	S.extend(iterable) – extend sequence by appending elements from the iterable
from_dict(data)	Create from dict.
from_yaml(yaml_str)	Create from YAML string.
index(self, key)	Raises ValueError if the value is not present.
insert(self, idx, model)	S.insert(index, value) – insert value before index
pop(self[, index])	Raise IndexError if list is empty or index is out of range.
read(filename)	Read from YAML file.
read_covariance(self, filename, \*\*kwargs)	Read covariance data from file
remove(self, value)	S.remove(value) – remove first occurrence of value.
reverse(self)	S.reverse() – reverse IN PLACE
to_dict(self)	Convert to dict.
to_yaml(self)	Convert to YAML string.
write(self, path[, overwrite])	Write to YAML file.
write_covariance(self, filename, \*\*kwargs)	Write covariance to file

Attributes Documentation

covariance

names

parameters

parameters_unique_names

Methods Documentation

append(self, value)

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

clear(self)

copy(self)

A deep copy.

count(self, value)

extend(self, values)

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

classmethod from_dict(data)

Create from dict.

classmethod from_yaml(yaml_str)

Create from YAML string.

index(self, key)

Raises ValueError if the value is not present.

Supporting start and stop arguments is optional, but recommended.

insert(self, idx, model)

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

pop(self, index=-1)

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

classmethod read(filename)

Read from YAML file.

read_covariance(self, filename, **kwargs)

Read covariance data from file

Parameters

filenamestr

Filename

**kwargsdict

Keyword arguments passed to read

remove(self, value)

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

reverse(self)

S.reverse() – reverse IN PLACE

to_dict(self)

Convert to dict.

to_yaml(self)

Convert to YAML string.

write(self, path, overwrite=False)

Write to YAML file.

write_covariance(self, filename, **kwargs)

Write covariance to file

Parameters

filenamestr

Filename

**kwargsdict

Keyword arguments passed to write