holoviews.org

Introduction — HoloViews

For the latest development version of the documentation please visit dev.holoviews.org. Aug 23rd 2016: HoloViews 1.6.2 released and now available on PyPI. Aug 22nd 2016: Released the GeoViews. Library extending HoloViews with support for geographic plots and projections. December 5th 2015: Now includes extensive support for the Bokeh. May 14th 2015: Talk. On HoloViews to appear at the SciPy 2015 conference. Feb 25th 2015: HoloViews announced as the winner in its category at the UK Open Source Awards 2015.

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Introduction — HoloViews | holoviews.org Reviews

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For the latest development version of the documentation please visit dev.holoviews.org. Aug 23rd 2016: HoloViews 1.6.2 released and now available on PyPI. Aug 22nd 2016: Released the GeoViews. Library extending HoloViews with support for geographic plots and projections. December 5th 2015: Now includes extensive support for the Bokeh. May 14th 2015: Talk. On HoloViews to appear at the SciPy 2015 conference. Feb 25th 2015: HoloViews announced as the winner in its category at the UK Open Source Awards 2015.

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2 features

3 tutorials

4 showcase

5 introduction

6 exploring data

7 sampling data

8 columnar data

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Introduction — HoloViews | holoviews.org Reviews

https://holoviews.org

For the latest development version of the documentation please visit dev.holoviews.org. Aug 23rd 2016: HoloViews 1.6.2 released and now available on PyPI. Aug 22nd 2016: Released the GeoViews. Library extending HoloViews with support for geographic plots and projections. December 5th 2015: Now includes extensive support for the Bokeh. May 14th 2015: Talk. On HoloViews to appear at the SciPy 2015 conference. Feb 25th 2015: HoloViews announced as the winner in its category at the UK Open Source Awards 2015.

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dev.holoviews.org

Introduction — HoloViews

For the latest development version of the documentation please visit dev.holoviews.org. Aug 23rd 2016: HoloViews 1.6.2 released and now available on PyPI. Aug 22nd 2016: Released the GeoViews. Library extending HoloViews with support for geographic plots and projections. December 5th 2015: Now includes extensive support for the Bokeh. May 14th 2015: Talk. On HoloViews to appear at the SciPy 2015 conference. Feb 25th 2015: HoloViews announced as the winner in its category at the UK Open Source Awards 2015.

INTERNAL PAGES

holoviews.org

1

Sampling Data — HoloViews

http://holoviews.org/Tutorials/Sampling_Data.html

As explained in the Composing Data. In this tutorial, we show how to specify such selections, using four different (but related) operations that can act on an element. E[55], e[3,5.5]. Selecting a single data value, returning one actual numerical value from the existing data. E[3:55], e[3:5.5,0:1]. Selecting a contiguous portion from an Element, returning the same type of Element. Selecting one or more regularly spaced data values, returning a new type of Element. If you have not done so already. Element...

2

Containers — HoloViews

http://holoviews.org/Tutorials/Containers.html

This notebook serves as a reference for all the container types in HoloViews, with an extensive list of small, self-contained examples wherever possible, allowing each container type to be understood and tested independently. The container types generally need to contain Elements. To be useful, which are described separately. We first cover the tree-based containers, which are used in many of the examples elsewhere:. Collect components into a tree, displaying them side by side (. The notebook will pop up...

3

Showcase — HoloViews

http://holoviews.org/Tutorials/Showcase.html

HoloViews encapsulates your continuous or discrete data into storable, composable, sliceable objects, leveraging matplotlib or Bokeh for visualization and IPython/Jupyter Notebook for maximum productivity. Preserves your raw data while allowing rapid, interactive exploratory analysis. Builds even complex, composite visualizations that are easily customized. Succinct, declarative style allows you to keep all the necessary code visible, ensuring your workflow is transparent and fully reproducible. However,...

4

Introduction — HoloViews

http://holoviews.org/Tutorials/Introduction.html

This tutorial explains the basics of how to use HoloViews to explore your data. If this is your first contact with HoloViews, you may want to start by looking at our showcase. To get a good idea of what can be achieved with HoloViews. If this introduction does not cover the type of visualizations you need, you should check out our Elements. Components to see what else is available. HoloViews is also not primarily a mass storage or archival data format like HDF5. It will be displayed as an image with a co...

5

Reference Manual — HoloViews

http://holoviews.org/Reference_Manual/index.html

To learn how to use HoloViews, we recommend that people start with the Tutorials. And then use the online help features from within IPython Notebook to learn more. Each option should have corresponding tab-completion and help provided, and this is usually enough to determine how to use the HoloViews components. An overview of all modules within all subpackages of HoloViews. Base classes implementing the core data structures of HoloViews. Elements that form the basis of more complex visualizations.

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Python | I Love Symposia!

https://ilovesymposia.com/tag/python

Science and Tech for the Small Fry. The cost of a Python function call. December 10, 2015. I’ve read in various places that the Python function call overhead is very high. As I was parroting this “fact” to Ed Schofield. Recently, he asked me what the cost of a function actually was. I had no idea. This prompted us to do a few quick benchmarks. The short version is that it takes about 150ns to call a function in Python (on my laptop). This doesn’t sound like a lot, but it means that you can make. Lose two...

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conference | I Love Symposia!

https://ilovesymposia.com/category/conference

Science and Tech for the Small Fry. October 9, 2015. The videos from EuroSciPy 2015 are up. This marks a good time to write up my thoughts on the conference. That the yearly SciPy conference is stunningly useful. This year I couldn’t make it to Austin, but I did attend EuroSciPy. The European version of the same conference, in Cambridge, UK. It was spectacular. The talk of the conference, for me, goes to Robin Wilson for recipy. I also enjoyed Nicolas Rougier’s talk. A new journal dedicated to replicated...

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Planet SciPy | I Love Symposia!

https://ilovesymposia.com/tag/planet-scipy

Science and Tech for the Small Fry. Tag Archives: Planet SciPy. Why scientists should code in the open. December 26, 2015. All too often, I encounter. In which the code is “available upon request”, or “available in the supplementary materials” (as a zip file). This is not just poor form. It also hurts your software’s future. (And, in my opinion, when results depend on software, it is inexcusable.). In this piece, I’ll go even further: put your code there. Put your code there. But here’s the secret:.

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programming | I Love Symposia!

https://ilovesymposia.com/category/programming

Science and Tech for the Small Fry. Why scientists should code in the open. December 26, 2015. All too often, I encounter. In which the code is “available upon request”, or “available in the supplementary materials” (as a zip file). This is not just poor form. It also hurts your software’s future. (And, in my opinion, when results depend on software, it is inexcusable.). In this piece, I’ll go even further: put your code there. Put your code there. As soon as you finish reading this article. When it come...

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Juan Nunez-Iglesias | I Love Symposia!

https://ilovesymposia.com/author/jnuneziglesias

Science and Tech for the Small Fry. All posts by Juan Nunez-Iglesias. Review: Sony Digital Paper. May 2, 2016. Three years ago I excitedly posted. About Sony’s then-new writeable e-paper tablet, called Sony Digital Paper System (DPS-1). Now it is finally mine and I love it. Here’s what I wrote about it when Sony announced it:. Having had it for about a month, I can confidently say that it. Here’s a zoomed-in shot of a paper on the DPS-1:. I can barely tell that it’s not just a slightly low-res print.

matplotlib.org

Toolkits — Matplotlib 1.5.1 documentation

http://matplotlib.org/mpl_toolkits/index.html

We're updating the default styles for Matplotlib 2.0. Learn what to expect in the new updates. Previous: MEP27: decouple pyplot from backends. Next: Matplotlib AxesGrid Toolkit. Enter search terms or a module, class or function name. Toolkits are collections of application-specific functions that extend matplotlib. Not distributed with matplotlib. Plots data on map projections, with continental and political boundaries, see basemap. Not distributed with matplotlib. And beyond. Cartopy. Mpl toolkits.g...

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holoviews.org

Introduction — HoloViews

For the latest development version of the documentation please visit dev.holoviews.org. Aug 23rd 2016: HoloViews 1.6.2 released and now available on PyPI. Aug 22nd 2016: Released the GeoViews. Library extending HoloViews with support for geographic plots and projections. December 5th 2015: Now includes extensive support for the Bokeh. May 14th 2015: Talk. On HoloViews to appear at the SciPy 2015 conference. Feb 25th 2015: HoloViews announced as the winner in its category at the UK Open Source Awards 2015.

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