In this thread, we will discuss different ways of reversing vector values using the NumPy library. Reversing the vector values means that the last value comes first and vice versa. One common task in data processing is to reverse the values of a vector or array. NumPy provides a simple and efficient way to achieve this task using its builtin functions. Let us discuss the techniques:"
1. NumPy "flip()" function:
The NumPy `flip()` function is used to reverse the order of elements in an array along a specified axis. It can flip the elements of an array in either a leftright or updown direction, or both. The
flip()
function takes two arguments: the input array and the axis along which the flip operation should be performed.
Here is an example usage of theflip()
function to reverse the order of elements in a 1D array:
2. List "reverse()" function:
The 'reverse()' function is a builtin Python function that can be used to reverse the order of elements in a list. However, it cannot be used on a NumPy array directly. Therefore, the array needs to be converted to a list first before the 'reverse()' function can be used.Here’s an example given below:
Note: The ‘reverse()’ function modifies the original list in place and does not return a new list.
3. NumPy "roll()" function
The NumPy `roll()` function is used to rotate the elements in an array along a specified axis. It can be used to reverse the order of elements in an array by rolling the elements over by the length of the array.
The
roll()
function takes two arguments: the input array and the number of positions by which the elements should be shifted. 
The shift value can be positive or negative.

If the shift value is equal to the length of the array, the elements are reversed.
Here is an example usage of the roll()
function to reverse the order of elements in a 1D array: