Web Reference: Join a sequence of arrays along a new axis. The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0 it will be the first dimension and if axis=-1 it will be the last dimension. Each array must have the same shape. Dec 13, 2025 · The numpy.stack () function is used to join multiple arrays by creating a new axis in the output array. This means the resulting array always has one extra dimension compared to the input arrays. To stack arrays, they must have the same shape, and NumPy places them along the axis you specify. Jan 10, 2023 · Today you’ll learn all about np stack – or the Numpy’s stack() function. Put simply, it allows you to join arrays row-wise (default) or column-wise, depending on the parameter values you specify. We’ll go over the fundamentals and the function signature, and then jump into examples in Python.
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