CUQIarray#
- class cuqi.array.CUQIarray(input_array, is_par=True, geometry=None)#
A class to represent data arrays, subclassed from numpy array, along with geometry and plotting
- Parameters:
input_array (ndarray) – A numpy array holding the parameter or function values.
is_par (bool, default True) – Boolean flag whether input_array is to be interpreted as parameter (True) or function values (False).
geometry (cuqi.geometry.Geometry, default None) – Contains the geometry related of the data.
- __init__()#
Methods
__init__()all([axis, out, keepdims, where])Returns True if all elements evaluate to True.
any([axis, out, keepdims, where])Returns True if any of the elements of a evaluate to True.
argmax([axis, out, keepdims])Return indices of the maximum values along the given axis.
argmin([axis, out, keepdims])Return indices of the minimum values along the given axis.
argpartition(kth[, axis, kind, order])Returns the indices that would partition this array.
argsort([axis, kind, order])Returns the indices that would sort this array.
astype(dtype[, order, casting, subok, copy])Copy of the array, cast to a specified type.
byteswap([inplace])Swap the bytes of the array elements
choose(choices[, out, mode])Use an index array to construct a new array from a set of choices.
clip([min, max, out])Return an array whose values are limited to
[min, max].compress(condition[, axis, out])Return selected slices of this array along given axis.
conj()Complex-conjugate all elements.
Return the complex conjugate, element-wise.
copy([order])Return a copy of the array.
cumprod([axis, dtype, out])Return the cumulative product of the elements along the given axis.
cumsum([axis, dtype, out])Return the cumulative sum of the elements along the given axis.
diagonal([offset, axis1, axis2])Return specified diagonals.
dump(file)Dump a pickle of the array to the specified file.
dumps()Returns the pickle of the array as a string.
fill(value)Fill the array with a scalar value.
flatten([order])Return a copy of the array collapsed into one dimension.
getfield(dtype[, offset])Returns a field of the given array as a certain type.
item(*args)Copy an element of an array to a standard Python scalar and return it.
itemset(*args)Insert scalar into an array (scalar is cast to array's dtype, if possible)
max([axis, out, keepdims, initial, where])Return the maximum along a given axis.
mean([axis, dtype, out, keepdims, where])Returns the average of the array elements along given axis.
min([axis, out, keepdims, initial, where])Return the minimum along a given axis.
newbyteorder([new_order])Return the array with the same data viewed with a different byte order.
nonzero()Return the indices of the elements that are non-zero.
partition(kth[, axis, kind, order])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.
plot([plot_par])Plot the data as function or parameters.
prod([axis, dtype, out, keepdims, initial, ...])Return the product of the array elements over the given axis
ptp([axis, out, keepdims])Peak to peak (maximum - minimum) value along a given axis.
put(indices, values[, mode])Set
a.flat[n] = values[n]for all n in indices.ravel([order])Return a flattened array.
repeat(repeats[, axis])Repeat elements of an array.
reshape(shape[, order])Returns an array containing the same data with a new shape.
resize(new_shape[, refcheck])Change shape and size of array in-place.
round([decimals, out])Return a with each element rounded to the given number of decimals.
searchsorted(v[, side, sorter])Find indices where elements of v should be inserted in a to maintain order.
setfield(val, dtype[, offset])Put a value into a specified place in a field defined by a data-type.
setflags([write, align, uic])Set array flags WRITEABLE, ALIGNED, WRITEBACKIFCOPY, respectively.
sort([axis, kind, order])Sort an array in-place.
squeeze([axis])Remove axes of length one from a.
std([axis, dtype, out, ddof, keepdims, where])Returns the standard deviation of the array elements along given axis.
sum([axis, dtype, out, keepdims, initial, where])Return the sum of the array elements over the given axis.
swapaxes(axis1, axis2)Return a view of the array with axis1 and axis2 interchanged.
take(indices[, axis, out, mode])Return an array formed from the elements of a at the given indices.
to_numpy()Return a numpy array of the CUQIarray data.
tobytes([order])Construct Python bytes containing the raw data bytes in the array.
tofile(fid[, sep, format])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([order])A compatibility alias for tobytes, with exactly the same behavior.
trace([offset, axis1, axis2, dtype, out])Return the sum along diagonals of the array.
transpose(*axes)Returns a view of the array with axes transposed.
var([axis, dtype, out, ddof, keepdims, where])Returns the variance of the array elements, along given axis.
view([dtype][, type])New view of array with the same data.
Attributes
View of the transposed array.
Base object if memory is from some other object.
An object to simplify the interaction of the array with the ctypes module.
Python buffer object pointing to the start of the array's data.
Data-type of the array's elements.
Information about the memory layout of the array.
A 1-D iterator over the array.
Returns itself as function values.
The imaginary part of the array.
Length of one array element in bytes.
Total bytes consumed by the elements of the array.
Number of array dimensions.
Returns itself as parameters.
The real part of the array.
Tuple of array dimensions.
Number of elements in the array.
Tuple of bytes to step in each dimension when traversing an array.