tomasquinones / ride-density-map

Using Python and Plotly Express to show all my ride data from ridewithgps.com

ride-density-map v0.1

I'm not looking for any PRs or new code samples. I'd like to get this figured out mainly on my own. Using Python and Plotly Express to show all my ride data from ridewithgps.com Uses https://plotly.com/python/mapbox-density-heatmaps/

Requirements:

• Python 3.5
• Plotly Express -- pip install ploty
• Requests module -- pip install requests

Running it!

1. Edit 'api_credentials.py' with your API Key, user, password, whatever
2. You'll need your own Mapbox Token and put it into .mapbox_token file to use the dark map style.
3. Run python3 get user_info.py -- Creates some JSON files with your trip list and more.
4. Run python3 get_triplist.py -- This downloads all your trip data, this could take a while.
5. Run python3 ride-density-map.py -- This will process all your JSON files in the 'trips' folder then open in your default browser. This could take a minute depending on how much data you have and your computer.

Notes:

• You will need your own API key from Ride with GPS.

• Currently the map auto-centers on Portland.

• Every fifth data point is placed on the map, otherwise performance takes a huge hit or crashes the browser.

Plans:

• Downloading data into a SQLite database rather than having hundreds or even thousands of JSON files to be process.
• Using Pandas for the managing the data to be rendered. Supposedly this will give another performance boost.
• Selector for map type
• Selector for color scheme
• Selector for date range

ride-density-map's Issues

Set up unit tests

Learn how to set up unit tests
Probably need to put some of this code into functions and test things like:

• Connecting to rwgps
• Getting trip list
• Getting user_info
• Downloading data
• Validating data

Resource:
Python Crash Course, Chapter 11

Combine the different parts into one functions module, one flow control module

It should be more obvious which module to run the program.

Migrate the get_info get_gear, get_trips into functions that can be called from the main flow control script.

Prompt for USER_ID

Should be able to run the file, get prompted for your rwgps user_id. It will then download all available ride data.

Prompt for map type

Make the default map type the one that doesn't require a mapbox key.

Improve performance to show all data

Even at every fifth data point, trying to zoom out and show all my ride data is causing chrome and firefox to crash. Ever since I updated my MacBook to Big Sur performance has taken a hit.

Try 1/6 data?
Would putting the data into a Pandas or tuples help rather than 3 separate lists?

Prompt for Date Range

After entering user_id, ask for a date range as a year