Web Reference: Join a sequence of arrays along an existing axis. Parameters: a1, a2, …sequence of array_like The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default). axisint, optional The axis along which the arrays will be joined. If axis is None, arrays are flattened before use. Default is 0. outndarray ... Jul 15, 2025 · Joining NumPy arrays means combining multiple arrays into one larger array. For example, joining two arrays [1, 2] and [3, 4] results in a combined array [1, 2, 3, 4]. Let’s explore some common ways to join arrays using NumPy. 1. Using numpy.concatenate () In SQL we join tables based on a key, whereas in NumPy we join arrays by axes. We pass a sequence of arrays that we want to join to the concatenate() function, along with the axis.
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