Page 228 - AI Ver 1.0 Class 10
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*        import numpy as np                                 [35 48 20 28]

                (Multiplication)  marks1 = np.array([7,8,5,4])                       2 marks multiplied : [14 16 10  8]

                                  marks2=np.array([5,6,4,7])
                                  print(marks1*marks2)
                                  print(“2 marks multiplied:”,marks1*2)

                       /          import numpy as np                                 [ 5.  5. 10.  8.]
                    (Divide)      marks1 = np.array([10,20,30,40])                   2 marks divided : [ 5. 10. 15. 20.]

                                  marks2=np.array([2,4,3,5])
                                  print(marks1/marks2)

                                  print(“2 marks divided:”,marks1/2)
                       //         import numpy as np                                 [ 5  5 10  8]

                 (Floor division)  marks1 = np.array([10,20,30,40])                  2  marks  divided  using  floor
                                                                                     division : [ 5 10 15 20]
                                  marks2=np.array([2,4,3,5])
                                  print(marks1//marks2)

                                  print(“2 marks divided using floor
                                  division:”,marks1//2)
                       %          import numpy as np                                 [0 0 0 0]
                 (Remainder of    marks1 = np.array([10,20,30,40])                   remainder of division: [1 2 0 1]
                    division)     marks2=np.array([1,2,3,4])

                                  print(marks1%marks2)

                                  print(“remainder of
                                  division:”,marks1%3)
              Some Important Functions

                      Type           Function                        Example                            Output


               Type of an object   type(ARR)      import numpy as np                              <class ‘numpy.
               i.e. array                         ARR = np.array([1,2,3,4])                       ndarray’>

                                                  print(type(ARR))
               Check the           ARR.ndim       import numpy as np                              2
               dimensions of                      ARR =
               an array
                                                  np.array([[1,2,3,4],[3,4,5,6]])
                                                  print(ARR.ndim)

               Shape of an array  ARR.shape       import numpy as np                              (2, 4)
               i.e. length of the                 ARR =
               array dimensions
                                                  np.array([[1,2,3,4],[3,4,5,6]])
                                                  print(ARR.shape)



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