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- numpy.matrix.diagonal
...ce Array objects Standard array subclasses numpy.matrix numpy.matrix.diagonal...
- numpy.matrix.diagonal (Python method, in numpy.matrix.diagonal)
- Array creation
...0., 0., 0.], [0., 0., 1., 0., 0.]]) numpy.diag can define either a square 2D array with given values along the diagonal or if given a 2D array returns a 1D array that is only the diagonal elements. The two array creation functions...
- NumPy 1.10.0 Release Notes
...ises IndexError Using axis != 0 has raised a DeprecationWarning since NumPy 1.7, it now raises an error. np.ravel, np.diagonal and np.diag now preserve subtypes There was inconsistent behavior between x.ravel() and np.ravel(x), as well as...
- NumPy 1.11.0 Release Notes
...be used in all cases. np.trace now respects array subclasses This behaviour mimics that of other functions such as np.diagonal and ensures, e.g., that for masked arrays np.trace(ma) and ma.trace() give the same result. np.dot now raises...
- NumPy 1.7.0 Release Notes
...oice (random sample generating function) Compatibility notes In a future version of numpy, the functions np.diag, np.diagonal, and the diagonal method of ndarrays will return a view onto the original array, instead of producing a copy as...
- NumPy 1.8.0 Release Notes
...ime64 type remains experimental in this release. In 1.9 there will probably be some changes to make it more usable. The diagonal method currently returns a new array and raises a FutureWarning. In 1.9 it will return a readonly view. Multipl...
- NumPy 1.9.0 Release Notes
...k because, e.g., ‘1.9’ > ‘1.10’ is True. A NumpyVersion class has been added that can be used for such comparisons. The diagonal and diag functions will return writeable views in 1.10.0 The S and/or a dtypes may be changed to represent Pyth...
- NumPy 2.0.0 Release Notes
...perate on unicode or byte strings and are used in np.char. They operate similar to str.find and str.rfind. (gh-24868) diagonal and trace for numpy.linalg numpy.linalg.diagonal and numpy.linalg.trace have been added, which are array API st...
- NumPy for MATLAB users
...ay full of 64-bit floating point ones eye(3) np.eye(3) 3x3 identity matrix diag(a) np.diag(a) returns a vector of the diagonal elements of 2D array, a diag(v,0) np.diag(v, 0) returns a square diagonal matrix whose nonzero values are the...
- NumPy quickstart
...onversionsndarray.astype, atleast_1d, atleast_2d, atleast_3d, mat Manipulationsarray_split, column_stack, concatenate, diagonal, dsplit, dstack, hsplit, hstack, ndarray.item, newaxis, ravel, repeat, reshape, resize, squeeze, swapaxes, take...
- numpy.corrcoef
...See also covCovariance matrix Notes Due to floating point rounding the resulting array may not be Hermitian, the diagonal elements may not be 1, and the elements may not satisfy the inequality abs(a) <= 1. The real and imaginary part...
- numpy.diagonal
...NumPy reference NumPy’s module structure Linear algebra (numpy.linalg) numpy.diagonal...
- numpy.einsum
...rations, which can be computed by einsum, is shown below along with examples: Trace of an array, numpy.trace. Return a diagonal, numpy.diag. Array axis summations, numpy.sum. Transpositions and permutations, numpy.transpose. Matrix multip...
- numpy.linalg.cholesky
.... No checking is performed to verify whether a is Hermitian or not. In addition, only the lower or upper-triangular and diagonal elements of a are used. Only L or U is actually returned. Parameters: a(…, M, M) array_likeHermitian (symmetr...
- numpy.linalg.diagonal
...umPy reference NumPy’s module structure Linear algebra (numpy.linalg) numpy.linalg.diagonal...
- numpy.linalg.eig
...t fact. If the eigenvalues are all different, then theoretically the eigenvectors are linearly independent and a can be diagonalized by a similarity transformation using eigenvectors, i.e, inv(eigenvectors) @ a @ eigenvectors is diagonal. F...
- numpy.linalg.eigh
...ular part of a (‘L’, default) or the upper triangular part (‘U’). Irrespective of this value only the real parts of the diagonal will be considered in the computation to preserve the notion of a Hermitian matrix. It therefore follows that t...
- numpy.linalg.eigvals
...eigenvalues and eigenvectors of general square arrays. Examples Illustration, using the fact that the eigenvalues of a diagonal matrix are its diagonal elements, that multiplying a matrix on the left by an orthogonal matrix, Q, and on the...
- numpy.linalg.eigvalsh
...ular part of a (‘L’, default) or the upper triangular part (‘U’). Irrespective of this value only the real parts of the diagonal will be considered in the computation to preserve the notion of a Hermitian matrix. It therefore follows that t...
- numpy.linalg.pinv
...value decomposition of A, then \(A^+ = Q_2 \Sigma^+ Q_1^T\), where \(Q_{1,2}\) are orthogonal matrices, \(\Sigma\) is a diagonal matrix consisting of A’s so-called singular values, (followed, typically, by zeros), and then \(\Sigma^+\) is s...
- numpy.linalg.trace
- numpy.ma.polyfit
- numpy.matlib.eye
...umpy.matlib.eye matlib.eye(n, M=None, k=0, dtype=<class 'float'>, order='C')[source] Return a matrix with ones on the diagonal and zeros elsewhere. Parameters: nintNumber of rows in the output. Mint, optionalNumber of columns in the ou...
- numpy.matlib.identity
.... dtypedata-type, optionalData-type of the output. Defaults to float. Returns: outmatrixn x n matrix with its main diagonal set to one, and all other elements zero. See also numpy.identityEquivalent array function. matlib.eyeMor...
- numpy.matrix.diagonal
- numpy.matrix.trace
- numpy.polyfit
- numpy.random.Generator.multivariate_normal
- numpy.random.multivariate_normal
- numpy.random.RandomState.multivariate_normal
- The N-dimensional array (
ndarray) - Array API