Mellissa Cross
Department of Earth Sciences, University of Minnesota

Abstract

TrendVis is a plotting package that uses matplotlib to create information-dense, sparkline-like, quantitative visualizations of multiple disparate data sets in a common plot area against a common variable. This plot type is particularly well-suited for time-series data. We discuss the rationale behind and the challenges associated with adapting matplotlib to this particular plot style, the TrendVis API and architecture, and various features available for users to customize and enhance the readability of their figures while walking through a sample workflow.

Keywords

time series visualization, matplotlib, plotting

DOI

10.25080/Majora-7b98e3ed-015

Bibtex entry

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Copyright © 2015 Mellissa Cross. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.