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]
