numpy.matrix
-
class numpy.matrix(data, dtype=None, copy=True)
[source] -
Note
It is no longer recommended to use this class, even for linear algebra. Instead use regular arrays. The class may be removed in the future.
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).Parameters: -
data : array_like or string
-
If
data
is a string, it is interpreted as a matrix with commas or spaces separating columns, and semicolons separating rows. -
dtype : data-type
-
Data-type of the output matrix.
-
copy : bool
-
If
data
is already anndarray
, then this flag determines whether the data is copied (the default), or whether a view is constructed.
See also
Examples
>>> a = np.matrix('1 2; 3 4') >>> a matrix([[1, 2], [3, 4]])
>>> np.matrix([[1, 2], [3, 4]]) matrix([[1, 2], [3, 4]])
Attributes: -
A
-
Return
self
as anndarray
object. -
A1
-
Return
self
as a flattenedndarray
. -
H
-
Returns the (complex) conjugate transpose of
self
. -
I
-
Returns the (multiplicative) inverse of invertible
self
. -
T
-
Returns the transpose of the matrix.
-
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.
-
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.
-
imag
-
The imaginary part of the array.
-
itemsize
-
Length of one array element in bytes.
-
nbytes
-
Total bytes consumed by the elements of the array.
-
ndim
-
Number of array dimensions.
-
real
-
The real part of the array.
-
shape
-
Tuple of array dimensions.
-
size
-
Number of elements in the array.
-
strides
-
Tuple of bytes to step in each dimension when traversing an array.
Methods
all
(self[, axis, out])Test whether all matrix elements along a given axis evaluate to True. any
(self[, axis, out])Test whether any array element along a given axis evaluates to True. argmax
(self[, axis, out])Indexes of the maximum values along an axis. argmin
(self[, 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. conjugate
()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. dot
(b[, out])Dot product of two arrays. 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
(self[, order])Return a flattened copy of the matrix. getA
(self)Return self
as anndarray
object.getA1
(self)Return self
as a flattenedndarray
.getH
(self)Returns the (complex) conjugate transpose of self
.getI
(self)Returns the (multiplicative) inverse of invertible self
.getT
(self)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. itemset
(*args)Insert scalar into an array (scalar is cast to array’s dtype, if possible) max
(self[, axis, out])Return the maximum value along an axis. mean
(self[, axis, dtype, out])Returns the average of the matrix elements along the given axis. min
(self[, axis, out])Return the minimum value along an 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. prod
(self[, axis, dtype, out])Return the product of the array elements over the given axis. ptp
(self[, axis, out])Peak-to-peak (maximum - minimum) value along the given axis. put
(indices, values[, mode])Set a.flat[n] = values[n]
for alln
in indices.ravel
(self[, order])Return a flattened matrix. 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 and UPDATEIFCOPY), respectively. sort
([axis, kind, order])Sort an array in-place. squeeze
(self[, axis])Return a possibly reshaped matrix. std
(self[, axis, dtype, out, ddof])Return the standard deviation of the array elements along the given axis. sum
(self[, 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
andaxis2
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
(self)Return the matrix as a (possibly nested) list. tostring
([order])Construct Python bytes containing the raw data bytes in the array. 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
(self[, 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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Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.matrix.html