the array the cumsum method returns flattened version of the array where each element is the cumulative sum of all the elements before finallythe object attribute is the transpose of the array versions of astypeshapeand cumsum while it' nice to have bunch of array attributes and methods attached to the array objectin practicei find seldom access array attributes and find it easier to use numpy functions instead of the corresponding array methods one exception with regards to attributes is the dtype char attributethat' very useful since it tells you the type of the elements of the array (see example for more on dtype char exercise on how objects workarrays exercise (more on using array attributes and methods)for all these exercises (except for the first one)do not use numpy module functionsonly use attributes or methods attached to the arrays (do these in ordersince each builds on the preceding commands create column row floating point array named the array can have any numerical values you wantas long as all the elements are not all identical create an array that is copy of but is -dnot - turn into column row arrayin place create an array where you round all elements of to decimal place solution and discussionhere are array methods that one can use to the accomplish the exercisesreshape reshape( arange( dtype=' ')( , ) ravel( resize(( , ) round( ravelresizeand round function and methods