graphPaname

graphPaname is a system that collects real-time data, relevant to the COVID-19 pandemic de-escalation, from the city of Paris.

It works with 4 datasets about the de-escalation:

• Retailers with home delivery
• Additional parking places in relay parkings (parkings connected to public transportation)
• Temporary cycling paths
• Temporary pedestrian streets

For each dataset, we offer a table with the data, and a map of Paris with markers. Additionally, there's a section with photos related to the COVID-19 pandemic.

Technologies

• Flask
• Pandas
• Folium

Data sources

• Open Data
• OpenStreetMap
• Flickr

Requirements

• Nix

Installation

1. Install Nix (compatible with Nix and Linux):

curl -L https://nixos.org/nix/install | sh

There are alternative installation methods, if you don't want to pipe curl to sh

2. Clone the repository:

git clone https://coolneng.duckdns.org/gitea/coolneng/graphPaname

3. Change the working directory to the project:

cd graphPaname

4. Enter the nix-shell:

nix-shell

5. Run the tests:

pytest

6. Execute the Flask application:

flask run

The website can be accessed via localhost:5000