DataSpace2D

class sherpa.data.DataSpace2D(filter, x0, x1)[source] [edit on github]

Bases: object

Class for representing 2-D Data Spaces.

Data Spaces are spaces that describe the data domain.

Parameters:

filterFilter: A filter object that initialized this data space.
x0, x1array_like: The first and second axes of this data space. The arrays are copied.

Attributes:

grid: The grid representation of this dataset.
x0: Return the first axis.
x1: Return the second axis.

Methods

get([filter])

Get a filtered representation of this data set.

Attributes Summary

`grid`	The grid representation of this dataset.
`x0`	Return the first axis.
`x1`	Return the second axis.

Methods Summary

get([filter])

Get a filtered representation of this data set.

Attributes Documentation

grid

The grid representation of this dataset.

The x0 and x1 arrays in the grid are one-dimensional representations of the meshgrid obtained from the x and y axis arrays, as in numpy.meshgrid(x, y)[0].ravel()

Returns:

(x0, x1)(ndarray, ndarray): A tuple representing the x0 and x1 axes.

x0: Return the first axis.

x1: Return the second axis.

Methods Documentation

get(filter=False)[source] [edit on github]

Get a filtered representation of this data set. If filter is False this object is returned.

Parameters:

filterbool: whether the data set should be filtered before being returned

Returns:

DataSpace2D