VSTACK ALL INPUT ARRAY DIMENSIONS SOFTWARE
VSTACK ALL INPUT ARRAY DIMENSIONS CODE
VSTACK ALL INPUT ARRAY DIMENSIONS LICENSE

Parameters - arrays : sequence of array_like Each array must have the same shape. For example, if axis=0 it will be the first dimension and if axis=-1 it will be the last dimension. The axis parameter specifies the index of the new axis in the dimensions of the result. def stack ( arrays, axis = 0, out = None ): '''Joins a sequence of arrays along a new axis. _ndarray_concatenate ( arrays, axis, out ) Examples - > import nlcpy as vp > a = vp.array(, ]) > b = vp.array(]) > vp.concatenate((a, b), axis=0) array(,, ]) > vp.concatenate((a, b.T), axis=1) array(, ]) > vp.concatenate((a, b), axis=None) array() ''' return manipulation. Returns - res : ndarray The concatenated array. The shape must be correct, matching that of what concatenate would have returned if no out argument were specified.

out : ndarray, optional If provided, the destination to place the result. If axis is None, arrays are flattened before use. axis : int, optional The axis along which the arrays will be joined. Parameters - arrays : sequence of array_like The arrays must have the same shape, except in the dimension corresponding to *axis* (the first, by default). def concatenate ( arrays, axis = 0, out = None ): '''Joins a sequence of arrays along an existing axis. # import nlcpy import numpy from re import manipulation

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VSTACK ALL INPUT ARRAY DIMENSIONS SOFTWARE

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VSTACK ALL INPUT ARRAY DIMENSIONS CODE

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VSTACK ALL INPUT ARRAY DIMENSIONS SOFTWARE

VSTACK ALL INPUT ARRAY DIMENSIONS CODE

VSTACK ALL INPUT ARRAY DIMENSIONS LICENSE

Vstack all input array dimensions