In Python, we use the stack() function to join or concatenate a sequence of input arrays along a new axis.
numpy.stack(arrays, axis=0, out=None)
The stack() function takes the following parameter values:
arrays (required): These are the input arrays to be concatenated.axis (optional): This is the given axis along which we append the input arrays. out (optional): This is the destination path for the result.The stack() function returns the concatenated array.
import numpy as np# creating input arraysa = np.array([[1, 2, 3], [4, 5, 6]])b = np.array([[7, 8, 9], [10, 11, 12]])# concatenating the arraysmyarray = np.stack((a, b), axis = 0)# printing the concatenated arrayprint(myarray)
NumPy module.a and b, using the array() function.stack() function. The result is assigned to a variable, myArray.myArray.import numpy as np# creating input arraysa = np.array([[1, 2, 3], [4, 5, 6]])b = np.array([[7, 8, 9], [10, 11, 12]])# concatenating the arraysmyarray = np.stack((a, b), axis = -1)# printing the concatenated arrayprint(myarray)
The code above is similar to Example 1 except that the arrays are concatenated along the last axis, i.e axis = -1.