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Reshaping And Flattening Multidimensional Arrays?
Reshaping And Flattening Multidimensional Arrays? Table Of Contents: arr.flatten() Examples Of arr.flatten() arr.ravel() Examples Of arr.ravel() (1) arr.flatten() Return a copy of the array collapsed into one dimension. Syntax: ndarray.flatten(order=’C’) Parameters: order: {‘C’, ‘F’, ‘A’, ‘K’}, optional – ‘C’ means to flatten in row-major (C-style) order. ‘F’ means to flatten in column-major (Fortran- style) order. ‘A’ means to flatten in column-major order if a is Fortran contiguous in memory, row-major order otherwise. ‘K’ means to flatten a in the order the elements occur in memory. The default is ‘C’. Returns: y: ndarray – A copy of the input array, flattened to one dimension. (2) Examples Of
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How To Reverse An Numpy Array ?
How To Reverse An Numpy Array ? Table Of Contents: np.flip( ) Examples Of ‘np.flip( )’ (1) np.flip( ) Reverse the order of elements in an array along the given axis. The shape of the array is preserved, but the elements are reordered. Syntax: numpy.flip(m, axis=None) Parameters: m: array_like – Input array. axis: None or int or tuple of ints, optional – Axis or axes along which to flip over. The default, axis=None, will flip over all of the axes of the input array. If axis is negative it counts from the last to the first axis.If axis is a
