load_arrays¶
- sherpa.ui.load_arrays(id, *args)¶
Create a data set from array values.
- Parameters
id (int or str) – The identifier for the data set to use.
*args – Two or more arrays, followed by the type of data set to create.
See also
copy_data
Copy a data set to a new identifier.
delete_data
Delete a data set by identifier.
get_data
Return the data set by identifier.
load_data
Create a data set from a file.
set_data
Set a data set.
unpack_arrays
Create a sherpa data object from arrays of data.
Notes
The data type identifier, which defaults to Data1D, determines the number, and order, of the required inputs.
Identifier
Required Fields
Optional Fields
Data1D
x, y
statistical error, systematic error
Data1DInt
xlo, xhi, y
statistical error, systematic error
Data2D
x0, x1, y
shape, statistical error, systematic error
Data2DInt
x0lo, x1lo, x0hi, x1hi, y
shape, statistical error, systematic error
The
shape
argument should be a tuple giving the size of the data(ny,nx)
.Examples
Create a 1D data set with three points:
>>> load_arrays(1, [10, 12, 15], [4.2, 12.1, 8.4])
Create a 1D data set, with the identifier ‘prof’, from the arrays
x
(independent axis),y
(dependent axis), anddy
(statistical error on the dependent axis):>>> load_arrays('prof', x, y, dy)
Explicitly define the type of the data set:
>>> load_arrays('prof', x, y, dy, Data1D)
Data set 1 is a histogram, where the bins cover the range 1-3, 3-5, and 5-7 with values 4, 5, and 9 respectively.
>>> load_arrays(1, [1, 3, 5], [3, 5, 7], [4, 5, 9], Data1DInt)