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Michael Droettboom: matplotlib
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PyData NYC 2015
A nuts-and-bolts introduction to creating publication-quality plots with matplotlib.
The tutorial assumes some basic Python knowledge, but no familiarity with matplotlib.
It will go from making simple plots to plots of specific interest to those in big data.
Topics covered will include:
Integration with Jupyter/IPython
Customizing everything about your plots, from the location and formatting of the ticks to creating and sharing "stylesheets"
Laying out multiple axes on a single figure
Rich math rendering
Interactive and animated plots
Going from experimental plotting to developing plotting applications
00:10 Help us add time stamps or captions to this video! See the description for details.
A nuts-and-bolts introduction to creating publication-quality plots with matplotlib.
The tutorial assumes some basic Python knowledge, but no familiarity with matplotlib.
It will go from making simple plots to plots of specific interest to those in big data.
Topics covered will include:
Integration with Jupyter/IPython
Customizing everything about your plots, from the location and formatting of the ticks to creating and sharing "stylesheets"
Laying out multiple axes on a single figure
Rich math rendering
Interactive and animated plots
Going from experimental plotting to developing plotting applications
00:10 Help us add time stamps or captions to this video! See the description for details.
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