autolens.ArrayIrregular

class ArrayIrregular

Bases: Structure

A collection of values which are structured as follows:

[value0, value1, value3]

The values object does not store the values as a list of floats, but instead a 1D NumPy array of shape [total_values]. This array can be mapped to the list of floats structure above. They are stored as a NumPy array so the values can be used efficiently for calculations.

The values input to this function can have any of the following forms:

[value0, value1]

In all cases, they will be converted to a list of floats followed by a 1D NumPy array.

Print methods are overridden so a user always “sees” the values as the list structure.

In contrast to a Array2D structure, ArrayIrregular do not lie on a uniform grid or correspond to values that originate from a uniform grid. Therefore, when handling irregular data-sets ArrayIrregular should be used.

Parameters

values ([float] or equivalent) – A collection of values.

Methods

all	Returns True if all elements evaluate to True.
any	Returns True if any of the elements of a evaluate to True.
argmax	Return indices of the maximum values along the given axis.
argmin	Return indices of the minimum values along the given axis.
argpartition	Returns the indices that would partition this array.
argsort	Returns the indices that would sort this array.
astype	Copy of the array, cast to a specified type.
byteswap	Swap the bytes of the array elements
choose	Use an index array to construct a new array from a set of choices.
clip	Return an array whose values are limited to [min, max].
compress	Return selected slices of this array along given axis.
conj	Complex-conjugate all elements.
conjugate	Return the complex conjugate, element-wise.
copy	Return a copy of the array.
cumprod	Return the cumulative product of the elements along the given axis.
cumsum	Return the cumulative sum of the elements along the given axis.
diagonal	Return specified diagonals.
dot
dump	Dump a pickle of the array to the specified file.
dumps	Returns the pickle of the array as a string.
fill	Fill the array with a scalar value.
flatten	Return a copy of the array collapsed into one dimension.
from_file	Create a ArrayIrregular object from a .json file which stores the coordinates as a list of list of tuples.
getfield	Returns a field of the given array as a certain type.
grid_from	Create a Grid2DIrregular object from a 2D ndarray array of values of shape [total_values, 2].
item	Copy an element of an array to a standard Python scalar and return it.
itemset	Insert scalar into an array (scalar is cast to array's dtype, if possible)
max	Return the maximum along a given axis.
mean	Returns the average of the array elements along given axis.
min	Return the minimum along a given axis.
newbyteorder	Return the array with the same data viewed with a different byte order.
nonzero	Return the indices of the elements that are non-zero.
output_to_fits	Output the grid to a .fits file.
output_to_json	Output this instance of the Grid2DIrregular object to a list of list of tuples.
partition	Rearranges the elements in the array in such a way that the value of the element in kth position is in the position it would be in a sorted array.
prod	Return the product of the array elements over the given axis
ptp	Peak to peak (maximum - minimum) value along a given axis.
put	Set a.flat[n] = values[n] for all n in indices.
ravel	Return a flattened array.
repeat	Repeat elements of an array.
reshape	Returns an array containing the same data with a new shape.
resize	Change shape and size of array in-place.
round	Return a with each element rounded to the given number of decimals.
searchsorted	Find indices where elements of v should be inserted in a to maintain order.
setfield	Put a value into a specified place in a field defined by a data-type.
setflags	Set array flags WRITEABLE, ALIGNED, WRITEBACKIFCOPY, respectively.
sort	Sort an array in-place.
squeeze	Remove axes of length one from a.
std	Returns the standard deviation of the array elements along given axis.
structure_2d_from	rtype Structure
structure_2d_list_from	rtype List[Structure]
sum	Return the sum of the array elements over the given axis.
swapaxes	Return a view of the array with axis1 and axis2 interchanged.
take	Return an array formed from the elements of a at the given indices.
tobytes	Construct Python bytes containing the raw data bytes in the array.
tofile	Write array to a file as text or binary (default).
tolist	Return the array as an a.ndim-levels deep nested list of Python scalars.
tostring	A compatibility alias for tobytes, with exactly the same behavior.
trace	Return the sum along diagonals of the array.
transpose	Returns a view of the array with axes transposed.
trimmed_after_convolution_from	rtype Structure
values_from	Create a ArrayIrregular object from a 1D ndarray of values of shape [total_values].
var	Returns the variance of the array elements, along given axis.
view	New view of array with the same data.

Attributes

T	The transposed array.
base	Base object if memory is from some other object.
ctypes	An object to simplify the interaction of the array with the ctypes module.
data	Python buffer object pointing to the start of the array's data.
derive_grid	rtype DeriveGrid2D
derive_indexes	rtype DeriveIndexes2D
derive_mask	rtype DeriveMask2D
dtype	Data-type of the array's elements.
flags	Information about the memory layout of the array.
flat	A 1-D iterator over the array.
geometry
imag	The imaginary part of the array.
in_list	Return the values in a list.
itemsize	Length of one array element in bytes.
native	Returns the data structure in its native format which contains all unmaksed values to the native dimensions.
nbytes	Total bytes consumed by the elements of the array.
ndim	Number of array dimensions.
origin	rtype Tuple[int, ...]
pixel_area
pixel_scale	rtype float
pixel_scales	rtype Tuple[float, ...]
real	The real part of the array.
shape	Tuple of array dimensions.
shape_native	rtype Tuple[int, ...]
shape_slim	rtype int
size	Number of elements in the array.
slim	The ArrayIrregular in their slim representation, a 1D ndarray of shape [total_values].
strides	Tuple of bytes to step in each dimension when traversing an array.
sub_shape_native	rtype Tuple[int, ...]
sub_shape_slim	rtype int
sub_size	rtype int
total_area
total_pixels	rtype int
unmasked_grid	rtype Union[Grid1D, Grid2D]

property slim: ArrayIrregular

The ArrayIrregular in their slim representation, a 1D ndarray of shape [total_values].

Return type

ArrayIrregular

property in_list: List

Return the values in a list.

Return type

List

values_from(array_slim)

Create a ArrayIrregular object from a 1D ndarray of values of shape [total_values].

The returned values have an identical structure to this ArrayIrregular instance.

Parameters

array_slim (ndarray) – The 1D ndarray with (hape [total_values] whose values are mapped to a ArrayIrregular object.

Return type

ArrayIrregular

grid_from(grid_slim)

Create a Grid2DIrregular object from a 2D ndarray array of values of shape [total_values, 2].

The returned grid are structured following this ArrayIrregular instance.

Parameters

grid_slim (ndarray) – The 2d array (shape [total_coordinates, 2]) of (y,x) coordinates that are mapped to a Grid2DIrregular object.

Return type

Grid2DIrregular

classmethod from_file(file_path)

Create a ArrayIrregular object from a .json file which stores the coordinates as a list of list of tuples.

Parameters

file_path (str) – The path to the coordinates .dat file containing the coordinates (e.g. ‘/path/to/coordinates.dat’)

Return type

ArrayIrregular

output_to_json(file_path, overwrite=False)

Output this instance of the Grid2DIrregular object to a list of list of tuples.

Parameters

• file_path (str) – The path to the coordinates .dat file containing the coordinates (e.g. ‘/path/to/coordinates.dat’)

• overwrite (bool) – If there is as exsiting file it will be overwritten if this is True.