Getting Set Up
For this tutorial, you will need the following packages:
- Python 3
conda install -c ericmjl hiveplotor
pip install hiveplot.
conda install -c ericmjl circosor
pip install circos
Clone the repository
$ cd /path/to/your/directory
- Clone the repository to disk:
$ git clone https://github.com/ericmjl/Network-Analysis-Made-Simple.git
$ cd Network-Analysis-Made-Simple
Easiest way: Anaconda Distribution of Python
If you have the Anaconda distribution of Python 3 installed, then run
bash conda-setup.sh, which wraps the commands below.
$ conda env create -f environment.yml
$ source activate network
Check your environment by running the following command:
$ python checkenv.py
If you do not have the Anaconda distribution, I would highly recommend getting it for Windows, Mac or Linux. It provides an isolated Python computing environment that will not interfere with your system Python installation, and comes with a very awesome package manager (
conda) that makes installation of new packages a single
conda install pkgname away.
If you're not using Python 3, then check out @jakevdp's talk at SciPy2015 to find out why!
Alternative to Anaconda:
For those who do not have the capability of installing the Anaconda Python 3 distribution on their computers, please follow the instructions below.
bash venv-setup.sh, which wraps up the commands below. Special thanks to @matt-land for putting this script together.
- Create a virtual environment for this tutorial, so that the installed packages do not mess with your regular Python environment.
$ pip install virtualenv
$ virtualenv network
$ source network/bin/activate
$ pip install matplotlib networkx pandas hiveplot numpy jupyter
Check your environment:
$ python checkenv.py
Run the Jupyter Notebook
$ jupyter notebook
Your browser will open to an index page where you can click on a notebook to run it.
If you've attended this workshop, please leave feedback!.
If you get a "Python is not installed as a framework" error with matplotlib, please check out this issue for instructions to resolve it.
If you're facing difficulties, please report it as an issue on this repository.
- Divvy Data Challenge: https://www.divvybikes.com/datachallenge
Many thanks to the following users who have contributed to improving the content and finding bugs.