PYTHON

numpy merge arrays

>>> a = np.array([[1, 2], [3, 4]])
>>> b = np.array([[5, 6]])
>>> np.concatenate((a, b), axis=0)
array([[1, 2],
       [3, 4],
       [5, 6]])
>>> np.concatenate((a, b.T), axis=1)
array([[1, 2, 5],
       [3, 4, 6]])

np.concatenate

>>> a = np.array([[1, 2], [3, 4]])
>>> b = np.array([[5, 6]])
>>> np.concatenate((a, b), axis=0)
array([[1, 2],
       [3, 4],
       [5, 6]])
>>> np.concatenate((a, b.T), axis=1)
array([[1, 2, 5],
       [3, 4, 6]])
>>> np.concatenate((a, b), axis=None)
array([1, 2, 3, 4, 5, 6])

Concatenate 2 array numpy

a = np.array([1, 2, 3, 4])
b = np.array([5, 6, 7, 8])
np.concatenate((a, b))

numpy concatenation array

#// required library
import numpy as npy

#// define 3 (1D) numpy arrays
arr1 = npy.array([10, 20, 30])
arr2 = npy.array([40, 50, 60])
arr3 = npy.array([70, 80, 90])

arrCon = npy.concatenate([arr1, arr2, arr3])
print(arrCon)

#// concatenation can also happen with 2D arrays
arr1_2d = npy.array([
  [10, 20, 30],
  [40, 50, 60]
])
arr2_2d = npy.array([
  [11, 22, 33],
  [44, 55, 66]
])

arr_2dCon = npy.concatenate([arr1_2d, arr2_2d])
print(arr_2dCon)

NumPy Concatenate Arrays

# Example 1: Use concatenate() to join two arrays
con = np.concatenate((arr, arr1))
print(con)

# Example 2: Use concatenate() with axis
con = np.concatenate((arr, arr1), axis=1)
print(con)

# Example 3: Use np.stack() function to Join Arrays
con = np.stack((arr, arr1), axis=1)
print(con)

# Example 4: Use np.hstack() function
con = np.hstack((arr, arr1))
print(con)

# Example 5: Use np.vstack() function 
con = np.vstack((arr, arr1))
print(con)

# Example 6: Use np.dstack() function to Stacking Along Height (depth)
con = np.dstack((arr, arr1))
print(con)

np.concatenate

numpy.concatenate((a1, a2, ...), axis)

Python NumPy concatenate Function Syntax

numpy.concatenate((arr1, arr2, …), axis=0, out=None)