Method # 1: Using a shortcut
# Python code for demonstration # how to reverse the numpy array # using the shortcut import numpy as np # numpy array initialization ini_array = np.array ([ 1 , 2 , 3 , 6 , 4 , 5 ]) # print the initial ini_array print ( "initial array" , str (ini_array)) # print type ini_array print ( "type of ini_array" , type (ini_array)) # using the shortcut method for reverse res = ini_array [:: - 1 ] # print result print ( "final array" , str (res)) |
Exit:
initial array [1 2 3 6 4 5] type of ini_array "class ’numpy.ndarray’" final array [5 4 6 3 2 1]
Method # 2: Using the flipud
# Python code for demonstration # how to reverse the numpy array # using flipud method import numpy as np # numpy array initialization ini_array = np.array ([ 1 , 2 , 3 , 6 , 4 , 5 ]) # print the initial ini_array print ( "initial array" , str (ini_array)) # print type ini_array print ( " type of ini_array " , type (ini_array)) # using the flipud method to reverse res = np.flipud (ini_array) # print result print ( "final array" , str (res)) |
Exit :
initial array [1 2 3 6 4 5] type of ini_array "class ’numpy.ndarray’" final array [5 4 6 3 2 1]