Method # 1: Using np.newaxis ()
| # Python code for demonstration
# multiplying a 2d array
# with a 1d array import numpy as np ini_array1 = np.array ([[ 1 , 2 , 3 ], [ 2 , 4 , 5 ], [ 1 , 2 , 3 ]]) ini_array2 = np.array ([ 0 , 2 , 3 ])
# printing initial arrays print ( "initial array" , str (ini_array1))
# Multiplying arrays result = ini_array1 * ini_array2 [:, np.newaxis]
# print result print ( " New resulting array: " , result) |
Exit:
initial array [[1 2 3] [2 4 5] [1 2 3]] New resulting array: [[0 0 0] [4 8 10 ] [3 6 9]]
Method # 2: Using the Axis As Not
| # Python code for demonstration
# multiplying a 2d array
# with a 1d array import numpy as np ini_array1 = np.array ([[ 1 , 2 , 3 ], [ 2 , 4 , 5 ], [ 1 , 2 , 3 ]]) ini_array2 = np.array ([ 0 , 2 , 3 ])
# printing initial arrays print ( "initial array" , str (ini_array1))
# Multiplying arrays result = ini_array1 * ini_array2 [:, None ]
# print result print ( "New resulting array:" , result) |
Exit:
initial array [[1 2 3] [2 4 5] [1 2 3]] New resulting array: [[0 0 0] [4 8 10] [3 6 9]]
Spo ex # 3: Using transpose ()
| # Python code for demonstration
# multiplying a 2d array
# with a 1d array import numpy as np ini_array1 = np.array ([ [ 1 , 2 , 3 ], [ 2 , 4 , 5 ], [ 1 , 2 , 3 ]]) ini_array2 = np.array ([ 0 , 2 , 3 ])
# printing initial arrays print ( "initial array" , str (ini_array1))
# Multiplying arrays result = (ini_array1.T * ini_array2) .T
# print result print ( "New resulting array:" , result) |
Exit:
initial array [[1 2 3] [2 4 5] [1 2 3]] New resulting array: [[0 0 0] [4 8 10] [3 6 9] ]
