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Prototyping: visualisations for co-ordinating ALARRM observations

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#ALARRMhub

Prototype tools for viewing and co-ordinating ALARRM observations en masse.

Getting this code:

git clone https://github.com/4pisky/alarrmhub.git

Installation:

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.

Getting the metadata dumps

Assuming you're on the Oxford campus:

scp [email protected]:~/code/alarrmhub/*.json .

Loading the metadata:

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.

Running the notebook:

From this directory:

ipython notebook

Then click on the relevant link.

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