Pete Alonzi University of Virginia Library Research Data Services

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Presentation transcript:

Bokeh - BOH-kay http://bokeh.pydata.org/ Pete Alonzi University of Virginia Library Research Data Services Data.library.virginia.edu

Goals Introduce the Bokeh package Make some plots as a group Have time for individual work making plots

Installation of Bokeh conda list | grep bokeh pip freeze | grep bokeh conda install bokeh pip install bokeh

http://bokeh.pydata.org/

http://bokeh. pydata. org/en/latest/docs/user_guide/quickstart http://bokeh.pydata.org/en/latest/docs/user_guide/quickstart.html#userguide-quickstart Prepare some data (in this case plain python lists). Tell Bokeh where to generate output (in this case using output_file(), with the filename "lines.html"). Call figure() to create a plot with some overall options like title, tools and axes labels. Add renderers (in this case, Figure.line) for our data, with visual customizations like colors, legends and widths to the plot. Ask Bokeh to show() or save() the results.