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This is an interactive Python Dash developed to meet McPhy's current needs. Dash abstracts all the technologies and protocols required to create an interactive web application and provides a simple and efficient way to bind a user interface to Python code. For more information, see the documentation.
First create a virtual environment with conda or venv inside a temp folder, then activate it.
virtualenv venv
# Windows
venv\Scripts\activate
# Or Linux
source venv/bin/activate
Download the folder on your computer or Clone the git repo, then install the requirements with pip
In your terminal type :
- git clone [the link of the project on github]
- cd [position yourself in the folder]
- pip install -r requirements.txt or :
* pip install dash
*pip install jypyter-dash
*pip install pandas
Run the app
python app.py
After execution of the script app.py we obtain :
$ python app.py
...Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)
open this link: http://127.0.0.1:8050/ to see the application
This Dash application displays in real time the evolution of various data from McPhy hydrogen stations (temperature, pressure, flow), data from the engines, energy consumption and a satellite representation of all stations with their status. There are filters at the top of the application to update the graphs below. By selecting or hovering over the data in one graph, the other graphs will be updated ("cross-filtering").
- Dash - Main server and interactive components
- Plotly Python - Used to create the interactive plots
You can access the html page directly as follows:
docs → _build → html → then open the file index.html
vous avez la possibilité de le faire à partir du terminal :
pip install -U Sphinx
sudo apt-get install python3-sphinx
pip install sphinx-rtd-theme
make html
firefox build/html/index.html
Do not hesitate to consult the complete documentation of sphinx by following this link : https://he-arc.github.io/livre-python/sphinx/index.html#enumerate
docs → _build → latex → then open the file mcviewwebdashboard.pdf
The following are screenshots for the app in this repo:
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This is an interactive Python Dash developed to meet McPhy's current needs. Dash abstracts all the technologies and protocols required to create an interactive web application and provides a simple and efficient way to bind a user interface to Python code. For more information, see the documentation.
First create a virtual environment with conda or venv inside a temp folder, then activate it.
virtualenv venv
# Windows
venv\Scripts\activate
# Or Linux
source venv/bin/activate
Download the folder on your computer or Clone the git repo, then install the requirements with pip
In your terminal type :
- git clone [the link of the project on github]
- cd [position yourself in the folder]
- pip install -r requirements.txt or :
* pip install dash
*pip install jypyter-dash
*pip install pandas
Run the app
python app.py
After execution of the script app.py we obtain :
$ python app.py
...Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)
open this link: http://127.0.0.1:8050/ to see the application
This Dash application displays in real time the evolution of various data from McPhy hydrogen stations (temperature, pressure, flow), data from the engines, energy consumption and a satellite representation of all stations with their status. There are filters at the top of the application to update the graphs below. By selecting or hovering over the data in one graph, the other graphs will be updated ("cross-filtering").
- Dash - Main server and interactive components
- Plotly Python - Used to create the interactive plots
You can access the html page directly as follows:
docs → _build → html → then open the file index.html
vous avez la possibilité de le faire à partir du terminal :
pip install -U Sphinx
sudo apt-get install python3-sphinx
pip install sphinx-rtd-theme
make html
firefox build/html/index.html
Do not hesitate to consult the complete documentation of sphinx by following this link : https://he-arc.github.io/livre-python/sphinx/index.html#enumerate
docs → _build → latex → then open the file mcviewwebdashboard.pdf
The following are screenshots for the app in this repo:
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