Datashader Examples

The examples rely on some sample data. To download the data, run the download_sample_data.py script. This may take up to 20 minutes, even on a good network connection. The dataset is roughly 1.5 GB on disk.

python download_sample_data.py

The examples also require bokeh to be installed. Bokeh is available through either conda or pip.

conda install bokeh

or

pip install bokeh

Examples

Dashboard

An example interactive dashboard using bokeh server integrated with a datashading pipeline. To start, run:

python dashboard/dashboard.py --config dashboard/nyc_taxi.yml

Notebooks

Most of the examples are in the form of runnable Jupyter notebooks. Copies of these with all the images and output included are hosted at Anaconda Cloud. To run these notebooks on your own system, install and start up a Jupyter notebook server:

conda install jupyter

or

pip install jupyter

To start:

jupyter notebook

plotting_problems

Motivation for the ideas behind datashader. Shows perceptual problems that plotting in a conventional way can lead to. Note that this example also requires the holoviews package: conda install -c ioam holoviews.

nyc_taxi

Making geographical plots, with and without datashader, using trip data from the NYC Taxi dataset.

nyc_taxi-nongeo

A simple scatter plot on the taxi dataset.

osm

Plotting the 2.7 billion gps coordinates made available by open street map. This dataset isn't provided by the download script, and is only included to demonstrate working with a large dataset. The run notebook can be viewed using the anaconda.org link provided above.