docker-jupyter-datavis

A Python 3 Jupyter notebook for data visualisation encapsulated into a Docker container.

Great for quickly graphing something when you need it!

Or.. keep it running in the background and know that its always available!

libraries available

matplotlib
numpy
scipy
pandas
seaborn

Matplotlib is configured with inline mode and a 15 x 10 figsize.

A demo.ipynb is available in the notebook to get you started.

Some wrapper code is available to install any extra libraries that you require via the PIP_PRE_INSTALL environment variable. IF provided, it will be split by commas and passed to pip install.

Running it

NOTE: The following assumes that the image has been built and is available as astromechza/docker-jupyter-datavis:3.

$ docker run --rm -ti -p 80:80 astromechza/docker-jupyter-datavis:3

Note: if you run without the -p declaraion, you'll need to work out what docker ip it is available on.

Mount /workdir if you want to keep your notebooks around. Either as a bind mount:

$ docker run --rm -ti -p 80:80 -v /tmp/notebooks:/workdir astromechza/docker-jupyter-datavis:3

Or as a named volume (which I prefer):

$ docker run --rm -ti -p 80:80 -v jnwd:/workdir astromechza/docker-jupyter-datavis:3

Any other jupyter options can be passed after the container name.