astromechza/docker-jupyter-datavis repository overview

⁠docker-jupyter-datavis

A 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.

For example:

$ docker run --rm -ti -p 80:80 -e PIP_PRE_INSTALL library1,library2 astromechza/docker-jupyter-datavis

⁠run

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

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

Or as a named volume (which I prefer):

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

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