# Learn to calculate the distance between two locations in Google Maps API with easy code examples

## Table of content

### Introduction

Google Maps API is a powerful tool that allows developers to create location-based applications. One of the most important features of the API is the ability to calculate the distance between two locations. This is important for a variety of applications, such as travel planning, logistics, and ride-sharing. In this article, we will walk through the process of calculating the distance between two locations in Google Maps API. We will provide simple code examples that can be used to incorporate this feature into your own application. Whether you are a beginner or an experienced developer, this article will provide valuable insights on how to use the Google Maps API to calculate the distance between two locations.

### Setting up Google Maps API

Before you can calculate distances between two locations using the Google Maps API, you'll need to set up an API key. Here's how:

1. Go to the Google Cloud Console and create a new project if you haven't already done so.
2. Select your project and navigate to the "APIs & Services" -> "Dashboard" page.
3. Click on "+ ENABLE APIS AND SERVICES" and search for "Google Maps JavaScript API" in the search bar.
4. Select the Maps JavaScript API and enable it for your project.
5. Once enabled, click on the "Create credentials" button and select "API key".
6. In the dialog that appears, select "HTTP referrers" and enter any domain that needs to use the API.
7. Your API key will be generated and displayed on the screen. Save this key for later use.

Now that you have an API key, you're ready to start using the Google Maps API in your Python code.

### Basic distance calculation

To calculate the distance between two locations in Google Maps API, we can use Python and its libraries. The first step is to import the necessary libraries like googlemaps and geopy. To start with the , we can define two variables, origin and destination, as strings representing the addresses of these locations.

With these variables defined, the next step is to use the Google Maps API key to create a client and get directions using the directions function that returns a dictionary with information about the route. Once we have this information, we can convert the addresses into latitude and longitude coordinates using the geopy library.

To calculate the distance between the two locations, we can use the distance function from the geopy.distance library that takes the two sets of latitude and longitude coordinates as parameters and returns the distance in kilometers or miles. Finally, we can print the distance between the two locations using the print function.

In summary, involves importing the necessary libraries, defining variables for the addresses, creating a client, getting directions, converting addresses to latitude and longitude coordinates, using the distance function to calculate the distance, and printing the result.

To add waypoints to a route in Google Maps API, you need to modify the code that calculates the distance between two locations. First, create a list of the waypoints you want to add, using the latitude and longitude of each location. Then, modify the "origins" and "destinations" variables to include the waypoints.

Here's an example of how to add two waypoints to a route:

```import googlemaps
from datetime import datetime

# Define the waypoints
waypoints = [
(42.361145, -71.057083), # Boston, MA
(41.49008, -71.312796),  # Newport, RI
(41.80028, -71.30016)    # Providence, RI
]

# Define the origin and destination
origin = "New York, NY"
destination = "Boston, MA"

# Modify the origins and destinations variables to include the waypoints
origins = [origin] + waypoints[:-1]
destinations = waypoints[1:] + [destination]

# Define the mode of transportation and departure time
mode = "driving"
departure_time = datetime.now()

# Calculate the distance matrix
distance_matrix = gmaps.distance_matrix(origins, destinations, mode=mode, departure_time=departure_time)

# Print the distance from New York to Boston including the waypoints
print(distance_matrix["rows"][0]["elements"][-1]["distance"]["text"])
```

In this example, we first define the waypoints as a list of tuples, with the latitude and longitude of each location. Next, we modify the origins and destinations variables to include the waypoints. We do this by adding the origin to the beginning of the origins list and the destination to the end of the destinations list, then slicing the waypoints list to remove the first and last elements.

We then define the mode of transportation and departure time and call the distance_matrix function with origins, destinations, mode, and departure_time parameters. Finally, we print the distance from the origin (New York) to the destination (Boston) including the waypoints.

By adding waypoints to a route, you can create more complex and detailed maps that can be used for a variety of applications. With a little bit of Python programming knowledge and the Google Maps API, you can easily calculate the distance between two locations and add waypoints to create a customized route.

### Calculating distance between multiple locations

Calculating the distance between two locations using Google Maps API is a common task in Python programming. However, calculating the distance between multiple locations can be a bit more complex. To calculate the distance between multiple locations using Google Maps API, we first need to retrieve the latitude and longitude coordinates for each location.

Once we have the latitude and longitude coordinates for each location, we can use a loop to iterate through each pair of locations and calculate the distance between them. One way to do this is to use the Haversine formula, which takes into account the curvature of the earth.

Here is an example code that demonstrates how to calculate the distance between multiple locations using the Haversine formula:

```import math

def distance(lat1, lon1, lat2, lon2):
a = math.sin(dLat/2) * math.sin(dLat/2) + math.cos(math.radians(lat1)) \
* math.cos(math.radians(lat2)) * math.sin(dLon/2) * math.sin(dLon/2)
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))
return distance

locations = [
[37.774929, -122.419416], # San Francisco
[40.712776, -74.005974], # New York City
[51.507351, -0.127758] # London
]

for i in range(len(locations)):
for j in range(i+1, len(locations)):
lat1, lon1 = locations[i]
lat2, lon2 = locations[j]
dist = distance(lat1, lon1, lat2, lon2)
print(f"Distance between {i} and {j}: {dist:.2f} km")
```

In this example, we have a list of locations represented as latitude and longitude coordinates. We then use two nested loops to iterate through each pair of locations and calculate the distance between them using the `distance()` function, which implements the Haversine formula. Finally, we print the distance between each pair of locations.

By using this approach, we can easily calculate the distance between multiple locations using Google Maps API and Python programming.

### Conclusion

In , calculating the distance between two locations in Google Maps API is a useful tool for various applications. With this capability, developers can create custom applications that can determine the distance between two locations, like calculating the distance between two cities.

Python programming, combined with Google Maps API, makes this possible with relatively easy-to-understand code examples. As shown in the examples above, Python programming has several useful built-in functions that help developers calculate the distance between locations.

With a firm grasp of these concepts, developers can build their applications that require the calculation of the distance between two locations. Overall, learning how to calculate the distance between two locations in Google Maps API with easy code examples, will give your application functionality that it can benefit from.

1. Google Maps API Documentation: This is a comprehensive resource for all things related to Google Maps API, including detailed documentation on how to calculate distances between locations.

2. Stack Overflow: This online community is a great place to ask questions and get answers from other developers who have experience working with Google Maps API.

3. Google Developers YouTube Channel: This channel features a variety of videos on Google Maps API, including tutorials and tips for working with the API.

4. Python Geocoding Toolbox: This is an open-source Python library that provides a range of geocoding tools, including distance calculations between two points.

By exploring these resources, you can deepen your knowledge of calculating distances in Google Maps API and continue to build your skills as a Python developer.

##### Deeksha Sudhakar
As a seasoned software engineer, I bring over 7 years of experience in designing, developing, and supporting Payment Technology, Enterprise Cloud applications, and Web technologies. My versatile skill set allows me to adapt quickly to new technologies and environments, ensuring that I meet client requirements with efficiency and precision. I am passionate about leveraging technology to create a positive impact on the world around us. I believe in exploring and implementing innovative solutions that can enhance user experiences and simplify complex systems. In my previous roles, I have gained expertise in various areas of software development, including application design, coding, testing, and deployment. I am skilled in various programming languages such as Java, Python, and JavaScript and have experience working with various databases such as MySQL, MongoDB, and Oracle.
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