Industrial carbon footprint visualizer by fuel mix in the utility

From pytest

python3 -m pip install --index-url https://test.pypi.org/simple/ --no-deps carbonfootprint

From pyapi

pip3 install carbonfootprint

or upgrade the already installed

python3 -m pip install --upgrade carbonfootprint

Ensure pip is installed and updated

python3 -m pip install --user --upgrade pip
    Requirement already satisfied: pip in /home/altanai/.local/lib/python3.6/site-packages (21.2.4)

python3 -m pip --version
    pip 21.2.4 from /home/altanai/.local/lib/python3.6/site-packages/pip (python 3.6)

Install Virtualenv

python3 -m pip install --user virtualenv

Creating a virtual environment

python3 -m venv env

Activating a virtual environment

source env/bin/activate

Leaving the virtual environment

deactivate

Installing required modules

 python3 -m  pip install pandas numpy carbonfootprint

For other missing dependencies

 python3 -m pip install -r requirements.txt   
 python3 -m pip freeze

Industrial use datasets

5-minute interval load data collected and published by EnerNOC, for 100 anonymized commercial customers over a single year (2012) https://open-enernoc-data.s3.amazonaws.com/anon/index.html which is also referenced by

US utility database for all of US ( incudes all demand and energy charges and flat rates ) https://openei.org/apps/USURDB/?utilRateFindByZip=98122&sectors%5B%5D=Commercial&sectors%5B%5D=Industrial&service_type=&is_default=&asc=1&search=