#ALARRMhub
Prototype tools for viewing and co-ordinating ALARRM observations en masse.
git clone https://github.com/4pisky/alarrmhub.git
pip install drive-ami
pip install ipython[notebook] pandas # (Optional)
Note, working in a
virtualenv
is recommended, because
reasons,
but if you prefer you can install the
Python package to your user area - just run pip install --user instead
of pip install.
Assuming you're on the Oxford campus:
scp [email protected]:~/code/alarrmhub/*.json .
Loading the data into one big dictionary is quite simple - the first few cells in notebook 'load_obs_metadata.ipynb' show how to do this (or see also 'load_obs_metadata.py' for the plain-Python version. The rest of the notebook demos how you can start to display and filter the metadata using Pandas.
From this directory:
ipython notebook
Then click on the relevant link.