Page 229 - AI Ver 1.0 Class 10
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Size of an array   ARR.size        import numpy as np                              8
                  i.e. counts the                    ARR =
                  number of                          np.array([[1,2,3,4],[3,4,5,6]])
                  elements
                                                     print(ARR.size)


                  Datatype of        ARR.dtype       import numpy as np                              int32
                  elements stored                    ARR =
                  in the array
                                                     np.array([[1,2,3,4],[3,4,5,6]])
                                                     print(ARR.dtype)



                  Maximum value      ARR.max()       import numpy as np                              45
                  in the  element                    ARR = np.array([[10,34,45,23,12]])
                  of the array
                                                     print(ARR.max())


                  Row wise &         ARR.            import numpy as np                              Rowwise  max  :  [13
                  column wise        max(axis=1)     ARR =                                           6]
                  maximum value      for row         np.array([[11,2,13,4],[3,4,5,6]])               Column  wise  max  :

                                                     print(“Rowwise max :”,ARR.                      [11  4 13  6]
                                     ARR.            max(axis=1))
                                     max(axis=0)     print(“Column wise max :”,ARR.
                                     for column      max(axis=0))


                  Row wise &         ARR.            import numpy as np                              Rowwise min : [2 3]
                  column wise        min(axis=1)     ARR =                                           Column  wise  min  :
                  minimum value      for row         np.array([[11,2,13,4],[3,4,5,6]])               [3 2 5 4]

                                                     print(“Rowwise min :”,ARR.
                                     ARR.            min(axis=1))
                                     min(axis=0)     print(“Column wise min :”,ARR.
                                     for column      min(axis=0))

                  Sum of all values   ARR.sum()      import numpy as np                              Rowwise  sum  :  [30
                  in the given array                 ARR =                                           18]

                                                     np.array([[11,2,13,4],[3,4,5,6]])               Column  wise  sum  :
                                                     print(“Row Wise sum :”,ARR.                     [14  6 18 10]
                                                     sum(axis=1))
                                                                                                     sum is : 48
                                                     print(“Column wise sum :”,ARR.
                                                     sum(axis=0))
                                                     print(“sum is :”,ARR.sum())






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