In Python, what exactly does numpy.stack actually do?

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Shahnawaj Ansari

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The numpy stack() function is used to combine a series of arrays along a new axis. The numPy concatenate() function is also used to combine two or more arrays, but by using numPy stack(), we can combine arrays along a new axis.
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In Python, the numpy.stack() function is used to join a sequence of arrays along a new axis. It takes a sequence of arrays as input and returns a new array where the input arrays are stacked together along a specified axis ex: import numpy as np a = np.array() b = np.array() c = np.array() result...
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In Python, the numpy.stack() function is used to join a sequence of arrays along a new axis. It takes a sequence of arrays as input and returns a new array where the input arrays are stacked together along a specified axis ex: import numpy as np a = np.array([1, 2, 3]) b = np.array([4, 5, 6]) c = np.array([7, 8, 9]) result = np.stack((a, b, c)) print(result) ans: [[1 2 3] [4 5 6] [7 8 9]] read less
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