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Titlemichaelgalloy.com - resources for idl developers

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michaelgalloy .com
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best data visualizations of 2016
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d3 in depth
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★ scatter plot matrix http://michaelgalloy.com/2017/01/10/scatter-plot-matrix.html
idl http://michaelgalloy.com/category/idl
visualization http://michaelgalloy.com/category/information-design
scatter plot matrix https://github.com/mgalloy/mglib/blob/master/src/vis/lineplots/mg_scatterplot_matrix.pro
library https://github.com/mgalloy/mglib
no comments http://michaelgalloy.com/2017/01/10/scatter-plot-matrix.html#respond
best data visualizations of 2016 http://michaelgalloy.com/2017/01/05/best-data-visualizations-of-2016.html
visualization http://michaelgalloy.com/category/information-design
flowingdata http://flowingdata.com/2016/12/29/best-data-visualization-projects-of-2016/
rhythm of food http://rhythm-of-food.net/
roundup https://eagereyes.org/blog/2016/a-roundup-of-year-end-roundups
no comments http://michaelgalloy.com/2017/01/05/best-data-visualizations-of-2016.html#respond
awesome python http://michaelgalloy.com/2016/12/29/awesome-python.html
python http://michaelgalloy.com/category/python
awesome python https://github.com/vinta/awesome-python
no comments http://michaelgalloy.com/2016/12/29/awesome-python.html#respond
best maps of 2016 http://michaelgalloy.com/2016/12/22/best-maps-2016.html
visualization http://michaelgalloy.com/category/information-design
best maps of 2016 http://news.nationalgeographic.com/2016/12/best-maps-cartography-2016/
kottke.org http://kottke.org/16/12/the-best-maps-of-2016
no comments http://michaelgalloy.com/2016/12/22/best-maps-2016.html#respond
nsf vizzies public voting 2016 http://michaelgalloy.com/2016/11/23/nsf-vizzies-public-voting-2016.html
visualization http://michaelgalloy.com/category/information-design
no comments http://michaelgalloy.com/2016/11/23/nsf-vizzies-public-voting-2016.html#respond
problems with xquartz 2.7.11 on macos http://michaelgalloy.com/2016/11/11/problems-with-xquartz-2-7-11-on-macos.html
idl http://michaelgalloy.com/category/idl
downgrading https://www.xquartz.org/releases/index.html
[4] comments http://michaelgalloy.com/2016/11/11/problems-with-xquartz-2-7-11-on-macos.html#comments
d3 in depth http://michaelgalloy.com/2016/11/10/d3-in-depth.html
visualization http://michaelgalloy.com/category/information-design
d3 in depth http://d3indepth.com
flowingdata http://flowingdata.com/2016/08/29/d3-in-depth/
no comments http://michaelgalloy.com/2016/11/10/d3-in-depth.html#respond
★ plotting time series data with gaps http://michaelgalloy.com/2016/11/08/plotting-missing-data.html
idl http://michaelgalloy.com/category/idl
a fairly simple routine https://github.com/mgalloy/mglib/blob/master/src/vis/util/mg_insert_nan.pro
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the new minimalism http://michaelgalloy.com/2016/10/25/the-new-minimalism.html
idl http://michaelgalloy.com/category/idl
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no comments http://michaelgalloy.com/2016/10/25/the-new-minimalism.html#respond
generate color tables with colorgorical http://michaelgalloy.com/2016/09/08/5509.html
visualization http://michaelgalloy.com/category/information-design
colorgorical http://vrl.cs.brown.edu/color
colorbrewer http://colorbrewer2.org
flowingdata http://flowingdata.com/2016/08/22/colorgorical-generates-color-schemes-for-you/
no comments http://michaelgalloy.com/2016/09/08/5509.html#respond
older posts » http://michaelgalloy.com/page/2
michaelgalloy.com http://michaelgalloy.com
modern idl http://modernidl.idldev.com
- http://modernidl.idldev.com
gpulib http://txcorp.com/home/gpulib
idldoc http://idldoc.idldev.com
mgunit http://mgunit.idldev.com
ridl http://ridl.idldev.com
+michael galloy https://plus.google.com/114075308258338504407?rel=author
@mgalloy http://twitter.com/#!/mgalloy
cv/resume http://michaelgalloy.com/about
contact me. http://michaelgalloy.com/about
about + contact http://michaelgalloy.com/about
books http://michaelgalloy.com/books
1rm: mac os x dashboard widget http://michaelgalloy.com/1rm
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mgunit http://github.com/mgalloy/mgunit
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★ scatter plot matrix posted tue 10 jan 2017 by michael galloy under idl, visualization i have been doing some reading about machine learning recently, using python as an implementation language. i lot of the routines used are fairly easy to implement in idl, so i have started filling out my library with idl versions. i have written a scatter plot matrix routine that takes a collection of vectors and makes all the scatter plots between pairs of them. for example, here’s a scatter plot matrix produced by the routine for the classic iris dataset: if you want to use the routine, it’s probably easiest to clone my entire library. --> no comments best data visualizations of 2016 posted thu 5 jan 2017 by michael galloy under visualization flowingdata rounds up his list of best visualization projects of 2016: visualization continues its merging into the everyday — less standalone and more of a medium that blends with words. i think this is partially because of a concentration on mobile. there’s simply less visual space on a phone than there is a giant computer screen, so the visualization is stripped or split up into smaller pieces that are more easily digested while scrolling. for example, the rhythm of food shows the popular food by time of year: and if that is not enough for you, here’s a roundup of 2016 visualization roundups. --> no comments awesome python posted thu 29 dec 2016 by michael galloy under python awesome python: a curated list of awesome python frameworks, libraries, software and resources. worth checking out when looking for an existing solution. --> no comments best maps of 2016 posted thu 22 dec 2016 by michael galloy under visualization national geographic collects the best maps of 2016: it’s been a good year for map lovers. whether you’re into old maps, new maps, or new ways of interacting with old maps, there was much to cheer about in 2016. via kottke.org --> no comments nsf vizzies public voting 2016 posted wed 23 nov 2016 by michael galloy under visualization the nsf has opened up voting for the people’s choice for visualizations in the photo, illustration, poster/graphic, interactive, and video categories. voting closes sunday december 4 at 11:59 p.m. pst. --> no comments problems with xquartz 2.7.11 on macos posted fri 11 nov 2016 by michael galloy under idl upgrading from xquartz from 2.7.9 to 2.7.11 on macos sierra broke idl widgets for me: ~$ idl idl version 8.5.1, mac os x (darwin x86_64 m64). (c) 2015, exelis visual information solutions, inc., a subsidiary of harris corporation. idl> xloadct error: attempt to add non-widget child "dsm" to parent "idl" which supports only widgets the fix that worked for me were the following two commands: sudo mv /opt/x11/lib/libxt.6.dylib{,.bak} sudo cp /opt/x11/lib{/flat_namespace,}/libxt.6.dylib downgrading to 2.7.9 (but not 2.7.10) also worked for me. --> [4] comments d3 in depth posted thu 10 nov 2016 by michael galloy under visualization d3 in depth: d3 in depth aims to bridge the gap between introductory tutorials/books and the official documentation. i have found d3 extremely useful for creating dynamic plots on dashboard style websites for monitoring data pipelines. this looks an excellent resource for learning it. via flowingdata --> no comments ★ plotting time series data with gaps posted tue 8 nov 2016 by michael galloy under idl i plot a lot of data on daily cycles, where there is no data collected at night. let’s mock up some sample data with the following simple code: idl> x = [findgen(10), findgen(10) + 25, findgen(10) + 50] idl> seed = 0l idl> y = randomu(seed, 30) idl> plot, x, y then i get a plot like this: this plot doesn’t show the nightly breaks in data well. connecting the last data point collected from a day to the first data point collected the next day emphasizes the trend between these points, which may not be appropriate. i have been using a fairly simple routine to insert nans into the data to break the plot into disconnected sections. for example, modify the above data for plotting with: idl> new_y = mg_insert_nan(x, y, [10.0, 35.0], new_x=new_x) idl> plot, new_x, new_y the new plot shows the gaps between the “days” in the data: --> no comments the new minimalism posted tue 25 oct 2016 by michael galloy under idl james hague writes: though my fascination with forth is long behind me, i still tend toward minimalist programming, but not in the same, extreme, way. i’ve adopted a more modern approach to minimalism: use the highest-level language that’s a viable option. lean on the built-in features that do the most work. write as little code as possible. i think this is good advance, but i would add one more point about having as few third party dependencies as possible that tries to balance the last point to write as little code as possible. --> no comments generate color tables with colorgorical posted thu 8 sep 2016 by michael galloy under visualization colorgorical is an alternative to colorbrewer with a few different options for creating color tables. for example, you can add a couple specific colors that should be in the color table and let colorgorical figure out the others which maximizes the perceptual difference between the colors. colorgorical seems particularly well suited to generating qualitative color tables, e.g., to find sufficiently different colors for each line in a plot. via flowingdata. --> no comments older posts » michaelgalloy.com resources for idl developers buy modern idl now! modern idl offers idl programmers one place to look for explanation, techniques, and reference material, for beginners and advanced users alike. "... but i've always wanted a thorough, concise, up-to-date overview of the the idl language and its vast capabilities. this is exactly what mike's book provides in 464 very informative pages... highly recommended!" —mort canty about me i'm a software developer focusing on high-performance computing and visualization in scientific programming. i work mostly in idl, but occasionally use c, cuda, and python. i currently work for the national center for atmospheric research (ncar) at the mauna loa solar observatory. previously, i worked for tech-x corporation, where i was the main developer for gpulib, a library of idl bindings for gpu accelerated computation routines. i am the creator and main developer for the open source projects idldoc, mgunit, and ridl. contact me at +michael galloy, @mgalloy, or via email at mgalloy at gmail dot com. for more details about me, see my cv/resume. need consulting/instruction? contact me. other about + contact books 1rm: mac os x dashboard widget feeds posts feed all comments feed log in gpulib gpulib enables idl developers to access the high-performance capabilities of modern nvidia graphics cards without knowledge of cuda programming. taskdl taskdl is a task-farming solution for idl designed for problems with loosely-coupled, parallel applications where no communication between nodes of a cluster is required. mpidl mpidl is a library of idl bindings for message passing interface (mpi) used for tightly-coupled parallel applications. remote data toolkit the remote data toolkit is a library of idl routines allowing for easy access to various scientific data in formats such as opendap, hdf 5, and netcdf. modern idl modern idl offers idl programmers one place to look, for beginners and advanced users alike. this book also contains: a thorough tutorial on the core topics of idl; a comprehensive introduction to the object graphics system; common problems and gotchas with many examples; advanced topics not normally found are discussed throughout the book: regular expressions, object graphics, advanced widget programming, performance, object-oriented programming, etc. idldoc idldoc is an open source utility for generating documentation from idl source code and specially formatted comments. mgunit mgunit is an open source unit testing framework for idl. ridl ridl is an open source idl command line replacement. mglib mglib is an open source library of idl routines in areas of visualization, application development, command line utilities, analysis, data access, etc. copyright © 2006-2012 michael galloy, all rights reserved -->


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