http://climate-cms.wikis.unsw.edu.au/index.php?action=history&feed=atom&title=Using_Python_with_Climate_Data 2026-08-17T13:07:27Z Revision history for this page on the wiki MediaWiki 1.31.0 http://climate-cms.wikis.unsw.edu.au/index.php?title=Using_Python_with_Climate_Data&diff=740&oldid=prev 2019-03-18T05:33:38Z

<p></p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revision as of 05:33, 18 March 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">{{Needs Update}}</ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>At the Melbourne Uni follow-up meeting for the 2013 Software Carpentry workshop Damien Irving showed off several Python libraries for working with climate data. Damien's notes are given below, he also has material available on [http://drclimate.wordpress.com/2013/02/18/python-and-software-carpentry-a-3-year-journey |&#160; his blog].</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>At the Melbourne Uni follow-up meeting for the 2013 Software Carpentry workshop Damien Irving showed off several Python libraries for working with climate data. Damien's notes are given below, he also has material available on [http://drclimate.wordpress.com/2013/02/18/python-and-software-carpentry-a-3-year-journey |&#160; his blog].</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr> <tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l66" >Line 66:</td> <td colspan="2" class="diff-lineno">Line 68:</td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* use docstrings as your primary documentation method</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* use docstrings as your primary documentation method</div></td></tr> <tr><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* use pylint to test the quality of your code</div></td><td class='diff-marker'>&#160;</td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* use pylint to test the quality of your code</div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2">&#160;</td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[[Category: Python]]</ins></div></td></tr> </table>

S.wales http://climate-cms.wikis.unsw.edu.au/index.php?title=Using_Python_with_Climate_Data&diff=375&oldid=prev 2013-02-26T05:23:50Z

<p>Imported from Wikispaces</p> <p><b>New page</b></p><div>At the Melbourne Uni follow-up meeting for the 2013 Software Carpentry workshop Damien Irving showed off several Python libraries for working with climate data. Damien's notes are given below, he also has material available on [http://drclimate.wordpress.com/2013/02/18/python-and-software-carpentry-a-3-year-journey | his blog].<br /> <br /> ----<br /> <br /> Hi all,<br /> <br /> Thanks for coming to the Software Carpentry boot camp follow up session this afternoon. Below is a summary of the text that I showed at the end, including the various links that I promised. If you're struggling with Python at all, feel free to look through my bitbucket repository for useful examples (https://bitbucket.org/DBrent/phd/src). At the 'cdat_tutorial' directory in that repository, you'll see the example code that I used today.<br /> <br /> ==netCDF== <br /> <br /> * be CF compliant<br /> * use attributes: data should be self-describing<br /> * more details: http://drclimate.wordpress.com/2013/02/25/are-you-cf-compliant/<br /> <br /> ==ipython== <br /> <br /> * excellent interactive development environment (IDE)<br /> * use dir() and ? to explore objects<br /> * use pdb for debugging<br /> * use ! to run any command at the system shell<br /> * on abyss: /usr/local/uvcdat/1.2.0rc1/bin/ipython<br /> <br /> ==uvcdat== <br /> <br /> * for quickly viewing your data<br /> * overview: http://drclimate.wordpress.com/2012/12/19/getting-started-with-python/<br /> * youtube: http://www.youtube.com/watch?v=Nuer6B21NA0<br /> * general cdat documentation: http://www2-pcmdi.llnl.gov/cdat<br /> * on abyss: /usr/local/uvcdat/1.2.0rc1/bin/uvcdat<br /> <br /> ==import cdms2== <br /> <br /> * for netCDF input and output<br /> * documentation: http://esg.llnl.gov/cdat/cdms_html/cdms.htm<br /> <br /> ==import cdutil== <br /> <br /> * climate relevant utilities (climatologies, regions, calendars etc)<br /> * documentation: http://esg.llnl.gov/cdat/cdat_utilities/cdat_utilities.htm<br /> <br /> ==import genutil== <br /> <br /> * climate relevant statistics (correlation, percentiles, etc)<br /> * documentation: http://esg.llnl.gov/cdat/cdat_utilities/cdat_utilities.htm<br /> <br /> ==import regrid2== <br /> <br /> * for regirdding<br /> <br /> ==import MV2== <br /> <br /> * for masked arrays<br /> * it's a copy of numpy.ma, but the data keep their attributes<br /> <br /> ==import matplotlib== <br /> <br /> * for all plotting (timeseries, spatial maps, etc)<br /> * from mpl_toolkits.basemap import Basemap, for spatial maps<br /> * from mpl_toolkits.basemap import shiftgrid, for longitude axis fiddling<br /> * documentation: http://matplotlib.org/<br /> <br /> ==programming tips== <br /> <br /> * use the argparse module for parsing the command line<br /> * create your own modules to avoid duplication of code<br /> * use docstrings as your primary documentation method<br /> * use pylint to test the quality of your code</div>

ScottWales