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• numpy.ndarray.repeat

  ...Array objects The N-dimensional array (ndarray) numpy.ndarray numpy.ndarray.repeat...

• numpy.ndarray.repeat (Python method, in numpy.ndarray.repeat)
• Array iterator API

  ...return -1; } /* * The iternext function gets stored in a local variable * so it can be called repeatedly in an efficient manner. */ iternext = NpyIter_GetIterNext(iter, NULL); if (iternext == NULL) {...

• How to extend NumPy

  ...at do not require a separate extraction of the module dictionary. These are documented in the Python documentation, but repeated here for convenience: int PyModule_AddObject(PyObject *module, char *name, PyObject *value) int PyModule_...

• Indexing on ndarrays

  ...of elements i, i+k, …, i + (m - 1) k < j. Basic slicing with more than one non-: entry in the slicing tuple, acts like repeated application of slicing using a single non-: entry, where the non-: entries are successively taken (with all oth...

• NumPy 1.10.0 Release Notes

  ...in a single call. Using this functionality, it is possible to read in multiple arrays stored in a single file by making repeated calls to the function. New function np.broadcast_to for invoking array broadcasting np.broadcast_to manually...

• NumPy 1.14.0 Release Notes
• NumPy 1.9.0 Release Notes
• NumPy C code explanations
• NumPy quickstart
• numpy.apply_over_axes
• numpy.cov

  ...sarray_like, int, optional1-D array of integer frequency weights; the number of times each observation vector should be repeated. aweightsarray_like, optional1-D array of observation vector weights. These relative weights are typically lar...

• numpy.einsum

  ...Similar verbose interface is provided by the einops package to cover additional operations: transpose, reshape/flatten, repeat/tile, squeeze/unsqueeze and reductions. The opt_einsum optimizes contraction order for einsum-like expressions in...

• numpy.fft.fft2

  ...ated. axessequence of ints, optionalAxes over which to compute the FFT. If not given, the last two axes are used. A repeated index in axes means the transform over that axis is performed multiple times. A one-element sequence means tha...

• numpy.fft.fftn

  ...es over which to compute the FFT. If not given, the last len(s) axes are used, or all axes if s is also not specified. Repeated indices in axes means that the transform over that axis is performed multiple times. Deprecated since version...

• numpy.fft.ifft2
• numpy.fft.ifftn
• numpy.fft.irfftn
• numpy.info
• numpy.lib.format

  ...iguity, we allow them to be written directly to disk for efficiency. “shape”tuple of intThe shape of the array. For repeatability and readability, the dictionary keys are sorted in alphabetic order. This is for convenience only. A write...

• numpy.linalg.eigh
• numpy.linalg.eigvals

  ...A complex- or real-valued matrix whose eigenvalues will be computed. Returns: w(…, M,) ndarrayThe eigenvalues, each repeated according to its multiplicity. They are not necessarily ordered, nor are they necessarily real for real matrice...

• numpy.linalg.eigvalsh
• numpy.linalg.matrix_power

  ...x_power(a, n)[source] Raise a square matrix to the (integer) power n. For positive integers n, the power is computed by repeated matrix squarings and matrix multiplications. If n == 0, the identity matrix of the same shape as M is returned....

• numpy.ma.apply_over_axes
• numpy.ma.MaskType.repeat

  ...numpy.ma.MaskType.repeat...

• numpy.matlib.repmat

  ...numpy.matlib.repmat matlib.repmat(a, m, n)[source] Repeat a 0-D to 2-D array or matrix MxN times. Parameters: aarray_likeThe array or matrix to be repeated. m, nintThe...

• numpy.meshgrid
• numpy.ndarray.repeat

  ...Array objects The N-dimensional array (ndarray) numpy.ndarray numpy.ndarray.repeat...

• numpy.place
• numpy.put

  ...dices, interpreted as integers. varray_likeValues to place in a at target indices. If v is shorter than ind it will be repeated as necessary. mode{‘raise’, ‘wrap’, ‘clip’}, optionalSpecifies how out-of-bounds indices will behave. ‘raise’...

• numpy.putmask
• numpy.random.choice
• numpy.random.Generator.choice
• numpy.random.Generator.multivariate_hypergeometric
• numpy.random.RandomState.choice
• numpy.record.repeat
• numpy.repeat
• numpy.resize
• numpy.tile
• numpy.trapezoid
• numpy.ufunc
• numpy.ufunc.accumulate
• numpy.unique
• NumPy: the absolute basics for beginners
• The N-dimensional array (ndarray)
• Array API