When calculating the distance between two points on a 2D plan/map we often calculate or measure the distance using straight line between these two points. Thought this “as the crow flies” distance can be very accurate it is not always relevant as there is not always a straight path between two points.

The perfect example to demonstrate this is to consider the street map of Manhattan which uses a grid-based layout: a mesh of horizontal and vertical roads crossing at a right angle.

#### Distance “as the crow flies”

The shortest distance between two points on a 2D grid is the distance using a straight line path between these two points.

On a 2D plan, using **Pythagoras theorem** we can calculate the distance between two points A and B as follows:

#### Manhattan Distance (aka taxicab Distance)

The Manhattan distance (aka

**taxicab distance)**is a measure of the distance between two points on a 2D plan when the path between these two points has to follow the grid layout. It is based on the idea that a taxi will have to stay on the road and will not be able to drive through buildings! The following paths all have the same taxicab distance:

The taxicab distance between two points is measured along the axes at right angles.

Note that the taxicab distance will always be greater or equal to the straight line distance.

#### Python Implementation

Check the following code to see how the calculation for the straight line distance and the taxicab distance can be implemented in Python.