The dstack() function in NumPy is used to stack or arrange the given arrays in a sequence depth wise (that is, along the third axis), thereby creating an array of at least 3-D.
dstack() function worksnumpy.dstack(tup)
The dstack() function takes the parameter value, tup, which represents a sequence of arrays having the same shape along all the axes except for the third axis.
The dstack() function returns an array of at least 3-D by stacking the input arrays.
import numpy as np# creating input arraysa = np.array([1, 2, 3, 4, 5])b = np.array([6, 7, 8, 9, 10])# stacking the arrays sequential depth wisestacked_array = np.dstack((a, b))# printing the new arrayprint(stacked_array)
numpy module.a and b using the array() function.a and b using the dstack() function. Then, we assign the result to a variable called stacked_array.stacked_array array.