NDDataArray

class gammapy.utils.nddata.NDDataArray(axes, data=None, meta=None, interp_kwargs=None)

Bases: object

ND Data Array Base class

Parameters

axeslist

List of DataAxis

dataQuantity

Data

metadict

Meta info

interp_kwargsdict

TODO

Attributes Summary

axes	Array holding the axes in correct order
data	Array holding the n-dimensional data.
default_interp_kwargs	Default interpolation kwargs used to initialize the scipy.interpolate.RegularGridInterpolator.

Methods Summary

evaluate([method])

Evaluate NDData Array

Attributes Documentation

axes

Array holding the axes in correct order

data

Array holding the n-dimensional data.

default_interp_kwargs = {'bounds_error': False, 'values_scale': 'lin'}

Default interpolation kwargs used to initialize the scipy.interpolate.RegularGridInterpolator. The interpolation behaviour of an individual axis (‘log’, ‘linear’) can be passed to the axis on initialization.

Methods Documentation

evaluate(method=None, **kwargs)

Evaluate NDData Array

This function provides a uniform interface to several interpolators. The evaluation nodes are given as kwargs.

Currently available: RegularGridInterpolator, methods: linear, nearest

Parameters

methodstr {‘linear’, ‘nearest’}, optional

Interpolation method

kwargsdict

Keys are the axis names, Values the evaluation points

Returns

arrayQuantity

Interpolated values, axis order is the same as for the NDData array