Dependencies for tracktop usage

Creating a conda environment

$ conda create -n your_conda_name

Activating your conda environment

$ conda activate your_conda_environment

Making environment accessible by jupyter notebook

$ python -m ipykernel install --name "your_conda_name" --display-name "your_conda_name" --user

Installing dependencies for tracktop usage

$ conda install plotly matplotlib seaborn pandas numexpr ipykernel nbformat

Installing the track-ml library

$ git clone https://github.com/LAL/trackml-library.git
$ pip install --user trackml-library

Cloning track-ml repo

$ git clone https://github.com/SPRACE/track-ml.git

To use tracktop functions in your python code:

import sys
sys.path.append('path to track-ml/utils')
from tracktop import *