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- numpy.memmap.transpose
...numpy.memmap.transpose...
- numpy.memmap.transpose (Python method, in numpy.memmap.transpose)
- NumPy 2.0.0 Release Notes
...enums, expired members and functions have been removed from the main namespace, such as: ERR_*, SHIFT_*, np.fastCopyAndTranspose, np.kernel_version, np.numarray, np.oldnumeric and np.set_numeric_ops. (gh-24316) Replaced from ... import *...
- NumPy 2.2.0 Release Notes
....size > 0 instead to check whether an array has no elements. (gh-27160) Compatibility notes numpy.cov now properly transposes single-row (2d array) design matrices when rowvar=False. Previously, single-row design matrices would return...
- numpy.memmap.mT
...numpy.memmap.mT attribute memmap.mT View of the matrix transposed array. The matrix transpose is the transpose of the last two dimensions, even if the array is of higher dimen...
- numpy.memmap.strides
...offset=sum(y.strides * np.array((1,1,1))) >>> offset/y.itemsize 17 >>> x = np.reshape(np.arange(5*6*7*8), (5,6,7,8)).transpose(2,3,1,0) >>> x.strides (32, 4, 224, 1344) >>> i = np.array([3,5,2,2]) >>> offset = sum(i * x.strides) >>> x[3,...
- numpy.memmap.T
...numpy.memmap.T attribute memmap.T View of the transposed array. Same as self.transpose(). See also transpose Examples >>> import numpy as np >>> a = np.array([[1,...
- numpy.memmap.transpose
...numpy.memmap.transpose...
- numpy.memmap.view
...', 'i1')]) Views that change the dtype size (bytes per entry) should normally be avoided on arrays defined by slices, transposes, fortran-ordering, etc.: >>> x = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.int16) >>> y = x[:, ::2] >>> y arr...