This app was created as part of an exploration of the Streamlit app development package with fast updates.
The app utilises the functionalities of streamlit with instantaneous app updates via widgets interaction. By interacting with the widget settings (player name, season type, season year), the app pulls data from the NBA Stats website with pretty fast updates!
Check it out for yourself!
Special Note: I tried deploying this on a Heroku container and AWS EC2 instance, but the live data scrapping/updates does not work. This is because the NBA Stats website apparently has a blacklist of IP addresses that includes them. Others have faced similar issues with this when they deployed similar live scrapping instances on cloud service providers as shown here.
To set up the app, clone the repo and install the requirements. Thereafter, you can run the streamlit command to set it up, and open the relevant url on your local browser.
git clone https://github.com/kfoofw/nba-shot-chart-streamlit
# change to project repo
cd nba-shot-chart-streamlit
# Install requirements
pip install -r requirements.txt
# Use streamlit to set up the app
streamlit run nba-shot-chart.py
To run the app with Docker (assuming you have it installed), clone the repo and build the image.
git clone https://github.com/kfoofw/nba-shot-chart-streamlit
# change to project repo
cd nba-shot-chart-streamlit
# run Docker
docker build -t nba-shot-chart-streamlit .
Open the resultant url to access the app locally. Enjoy!
Special credit to Savvas Tjortjoglou for the Matplotlib charts. Check out his awesome blog post here: http://savvastjortjoglou.com/nba-shot-sharts.html