Scientific visualization typically requires large amounts of custom coding that obscures the underlying principles of the work and makes it difficult to reproduce the results. Here we describe how the new HoloViews Python package, when combined with the IPython Notebook and a plotting library, provides a rich, interactive interface for flexible and nearly code-free visualization of your results while storing a full record of the process for later reproduction. HoloViews provides a set of general-purpose data structures that allow you to pair your data with a small amount of metadata. These data structures are then used by a separate plotting system to render your data interactively, e.g. within the IPython Notebook environment, revealing even complex data in publicationquality form without requiring custom plotting code for each figure. HoloViews also provides powerful containers that allow you to organize this data for analysis, embedding it whatever multidimensional continuous or discrete space best characterizes it. The resulting workflow allows you to focus on exploring, analyzing, and understanding your data and results, while leading directly to an exportable recipe for reproducible research.
[1]
Brian E. Granger,et al.
IPython: A System for Interactive Scientific Computing
,
2007,
Computing in Science & Engineering.
[2]
Cedric E. Ginestet.
ggplot2: Elegant Graphics for Data Analysis
,
2011
.
[3]
David Halliday,et al.
FIFTH EDITION
,
2004
.
[4]
Gaël Varoquaux,et al.
Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12 - July 18, 2021
,
2008,
SciPy.
[5]
John D. Hunter,et al.
Matplotlib: A 2D Graphics Environment
,
2007,
Computing in Science & Engineering.
[6]
Andrew P. Davison,et al.
Learning from the Past: Approaches for Reproducibility in Computational Neuroscience
,
2013
.
[7]
J. LaFountain.
Inc.
,
2013,
American Art.
[8]
Wes McKinney,et al.
Data Structures for Statistical Computing in Python
,
2010,
SciPy.
[9]
David Joyner,et al.
SAGE: system for algebra and geometry experimentation
,
2005,
SIGS.
[10]
Mark Bailey,et al.
The Grammar of Graphics
,
2007,
Technometrics.