This is a simple way to visualize GPS data from Strava/Garmin/Polar in either the csv, fit, and/or gpx formats on an attractive and interactive interface. This was a side-project while I helped organize the McGill Physics Hackathon.

If you are interested in physics or programming, hackathons are a great idea. If you're curious about more of my work, the linked pages at mrhheffernan.github.io provide links to more information.

An additional feature is present to color the lines by heart rate, which can be found in the hr_color branch by tjrademaker. The code in that branch also incoporates tcx file support. All original code there is written by tjrademaker and is offered under the MIT License.

Download your data as a gpx, csv, or fit file from your provider of choice. For advanced users, selenium_downloader.py is provided to automate this process. These users will have to specify some paths and have selenium/chromium configured before running the script. Additionally, they will have to supply a file called login_info.secret. This file should contain username,password,athlete_id and will be read in by selenium_downloader.py. Currently, selenium_downloader.py may not export all data, but is intended for use for the past 12 months of activities. It sometimes downloads more.

Most users can simply request their data as a download from Strava.

Note that extra python packages may be required if you have fit files, as the binary files are not easily readable on all systems. Just download the python files here and run them! This is also written in to be compatible with Python 3.7, certain rewrites will be necessary if using Python2.

I'm Montreal based, so the map is currently designed to center on Montreal. To correct for this, change "Montreal Quebec" to your location!

Certain Python modules are required. They are: numpy, pandas, geopy, folium, gpxpy, fitparse, and pytz. To download any and all of these in one fell swoop, the below code is provided.

pip install numpy pandas geopy folium gpxpy fitparse pytz

Also required prerequisites are GPS tracks. On Strava, these are available for bulk download under settings. If files have been uploaded via Garmin Connect, there may be compressed .fit files in .fit.gz format. To unzip these (at least in linux/unix-based systems):

gunzip *.fit.gz

The heatmap will be output in a html file, which is viewable in a web browser. Currently, there is no native folium support for image exports, so screenshots of relevant areas is the recommended strategy.

The Python is designed to run in the same directory as the GPS files, so make sure this is the case.

To run:

python personal_heatmap.py

Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.

Original Python Copyright 2018 Matthew Heffernan

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

This code is by Matthew Heffernan. As long as you retain this notice you can do whatever you want with this stuff, subject to the conditions above. If we meet some day, and you think this stuff is worth it, you can buy me a beer in return. - Matthew Heffernan

This code is built with a combination of original and unlicensed code. Special thanks are due to the developers working to make the FIT file format more accessible, especially Max Candocia whose fit_to_csv code is instrumental and included here. Source: https://maxcandocia.com/article/2017/Sep/22/converting-garmin-fit-to-csv/

Additional thanks are due to the McGill Physics Hackathon 2018, during which I wrote this code while assisting many capable hackers visualize physics concepts. Their dedication and the unlimited coffee were inspirational to the development of this project.

This is a simple heatmap which does not superimpose the tracks on a map, but does provide a simple playground for plotting tracks. This reproduces much of the functionality of some prominent Strava apps, but full resolution is gained for free and is more customizable with matplotlib. Enjoy! This script will additionally required the matplotlib module.

This doesn't automatically center, but the native zooming interface will allow you to better crop the heatmap for use on social media. The GUI save feature is recommended.

..*Add option to plot heatmap in style of: http://qingkaikong.blogspot.com/2016/06/using-folium-3-heatmap.html ..*Broadening the scope of selenium_downloader.py