Returns a matrix from an array-like object, or from a string of data.
A matrix is a specialized 2-D array that retains its 2-D nature through operations. It has certain special operators, such as * (matrix multiplication) and ** (matrix power).
all([axis, out])
Test whether all matrix elements along a given axis evaluate to True.
any([axis, out])
Test whether any array element along a given axis evaluates to True.
argmax([axis, out])
Indexes of the maximum values along an axis.
argmin([axis, out])
Indexes of the minimum values along an 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 flattened copy of the matrix.
getA()
Return self as an ndarray object.
getA1()
Return self as a flattened ndarray.
getH()
Returns the (complex) conjugate transpose of self.
getI()
Returns the (multiplicative) inverse of invertible self.
getT()
Returns the transpose of the matrix.
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.
max([axis, out])
Return the maximum value along an axis.
mean([axis, dtype, out])
Returns the average of the matrix elements along the given axis.
min([axis, out])
Return the minimum value along an axis.
nonzero()
Return the indices of the elements that are non-zero.
partition(kth[, axis, kind, order])
Partially sorts the elements in the array in such a way that the value of the element in k-th position is in the position it would be in a sorted array.
prod([axis, dtype, out])
Return the product of the array elements over the given axis.
ptp([axis, out])
Peak-to-peak (maximum - minimum) value along the given axis.
put(indices, values[, mode])
Set a.flat[n] = values[n] for all n in indices.
ravel([order])
Return a flattened matrix.
repeat(repeats[, axis])
Repeat elements of an array.
reshape(shape, /, *[, order, copy])
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])
Return a possibly reshaped matrix.
std([axis, dtype, out, ddof])
Return the standard deviation of the array elements along the given axis.
sum([axis, dtype, out])
Returns the sum of the matrix elements, along 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.
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 matrix as a (possibly nested) list.
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])
Returns the variance of the matrix elements, along the given axis.
view([dtype][, type])
New view of array with the same data.
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