{"id":2376,"date":"2024-08-16T16:05:45","date_gmt":"2024-08-16T07:05:45","guid":{"rendered":"https:\/\/secondlife.lol\/?p=2376"},"modified":"2024-08-16T22:10:54","modified_gmt":"2024-08-16T13:10:54","slug":"python-map-visualization-travel-route","status":"publish","type":"post","link":"https:\/\/secondlife.lol\/en\/python-map-visualization-travel-route\/","title":{"rendered":"Python Map Visualization: See a route you'll never regret (feat. folium package)"},"content":{"rendered":"

When you're planning a trip to somewhere you've never been before, don't you wish you could see the entire route? In today's post, you'll learn how to visualize your travel route using Python map visualization techniques. We'll use Python's powerful folium library<\/a><\/strong>to visually represent this journey step by step.<\/p>\n\n\n\n

Here's a hypothetical situation JFK Airport<\/strong>and take a taxi or Uber to the Hilton New York Midtown<\/strong> After you get to your hotel, walk to the Manhattan Center<\/strong> Go to the venue. In this tutorial, Python Map Visualization<\/strong> Build your skills and learn how to plot your travel route on a map.<\/p>\n\n\n\n

Understanding Python Map Visualization Summaries<\/h2>\n\n\n\n

Python Map Visualization is a powerful tool for visually representing a variety of data on a map using GPS coordinates. In particular, the folium library allows you to create Google Maps-like maps in Python. <\/p>\n\n\n\n

In this example, you'll see how to add markers to three major points in New York City (JFK Airport, the Hilton New York Midtown hotel, and the Manhattan Center venue), show a route connecting each point with a blue line, and display travel time and distance information on the map.<\/p>\n\n\n\n

Python code step-by-step<\/h2>\n\n\n\n

1. Install and load the library<\/h3>\n\n\n\n

To visualize a map in Python folium<\/code> Install and import the library.<\/p>\n\n\n\n

# import required libraries\nimport os # Module for manipulating files and directories\nimport folium # Library for creating and manipulating maps\n\nCreate a directory to store # results\nresult_dir = 'C:\/result\/'\n# os.makedirs(): Create directory. Option exist_ok=True to avoid errors if it already exists\nos.makedirs(result_dir, exist_ok=True)<\/code><\/pre>\n\n\n\n
2. set up key locations and distance and time data<\/h3>\n\n\n\n
Define the GPS coordinates for each place, set the distance and estimated time between the two points.<\/p>\n\n\n\n
# Geographical coordinates of major places (latitude, longitude)\nsimplified_locations = {\n    \"JFK Airport\": [40.6413, -73.7781],\n    \"Hilton New York Midtown\": [40.7625, -73.9780],\n    \"Event Venue (Manhattan Center)\": [40.7527, -73.9932]\n}\n\n# distance (km) and time (minutes) information\nsimplified_distances_and_times = {\n    (\"JFK Airport\", \"Hilton New York Midtown\"): (25.0, 35),\n    (\"Hilton New York Midtown\", \"Event Venue (Manhattan Center)\"): (1.2, 15)\n}\n\nSet the # route order\nordered_locations = [\n    (\"JFK Airport\", \"Hilton New York Midtown\"),\n    (\"Hilton New York Midtown\", \"Event Venue (Manhattan Center)\")\n]<\/code><\/pre>\n\n\n\n
3. create maps and visualize routes<\/h3>\n\n\n\n
Create a map centered on New York City, add numbered markers to each point, and connect routes with blue lines.<\/p>\n\n\n\n
# Map Creation\n# folium.Map(): Create a basic map\n# location: coordinates of the center point of the map [latitude, longitude]\n# zoom_start: initial zoom level (higher zooms more)\nm = folium.Map(location=[40.7200, -73.9000], zoom_start=11)\n\nAdd # markers and paths\n# enumerate(): Returns the elements of the list together with their indexes, with indexes starting at 1 with start=1\nfor idx, location in enumerate(simplified_locations.items(), start=1):\n    loc_name, coords = location\n    # folium.Marker(): Add a marker to the map\n    # popup: text to display when clicking on the marker\n    # icon: set the appearance of the marker\n    folium.Marker(\n        coords,\n        popup=f"{idx}. {loc_name}",\n        icon=folium.DivIcon(\n            html=f""""\n            <div style="text-align: center;">\n                <div style="font-size: 12pt; font-weight: bold; color: black; background-color: white; border-radius: 50%;                 width: 24px; height: 24px; display: flex; align-items: center; justify-content: center;">\n                {idx}\n                <\/div>\n                <div style="font-size: 10pt; font-weight: bold; color: navy; margin-top: 10px;">\n                {loc_name}\n                <\/div>\n            <\/div>"""\n        )\n    ).add_to(m)\n\nAdd a # route and distance\/time information\nfor (loc1, loc2) in ordered_locations:\n    # folium.PolyLine(): Draw a line between two points\n    # color: color of the line, weight: thickness of the line, opacity: transparency of the line\n    folium.PolyLine([simplified_locations[loc1], simplified_locations[loc2]], color="blue", weight=2.5, opacity=1).add_to(m)\n\n    # Get distance and time information\n    distance_km, time_min = simplified_distances_and_times[(loc1, loc2)]\n    # Calculate the midpoint coordinates of two points\n    mid_point = [(simplified_locations[loc1][0] + simplified_locations[loc2][0]) \/ 2,\n                 (simplified_locations[loc1][1] + simplified_locations[loc2][1]) \/ 2]\n    Add a marker with distance and time information at the midpoint of #\n    folium.Marker(\n        mid_point,\n        icon=folium.DivIcon(\n            html=f'<div style="font-size: 10pt; font-weight: bold; color: red;">{distance_km}km, {time_min}minutes<\/div>',\n        )\n    ).add_to(m)<\/code><\/pre>\n\n\n\n
4. save the map<\/h3>\n\n\n\n
Save the completed map to the C:\\result<\/code> folder, and if it completes successfully, it will output the path where the saved map HTML file is saved as shown below.<\/p>\n\n\n\n
# Save map as HTML\n# os.path.join(): Generate file paths using path separators specific to the operating system\nfinal_corrected_map_path = os.path.join(result_dir, 'ny_business_trip_final_corrected_map_with_distances.html')\nm.save(final_corrected_map_path) # Save the generated map as an HTML file\n\nprint(f\"Map saved to: {final_corrected_map_path}\") # Print the path to the saved file<\/code><\/pre>\n\n\n