<div dir="ltr">Hi:<div><br></div><div>just dropping my 2 cents...</div><div><br></div><div><b>netcdf4-python</b></div><div>1. For me netcdf4-python is much easier to install</div><div>2. netcdf4-python can read multiple files as if it was only one file MFDataset("prefix*.nc")</div><div>3. Very easy to deal with dates</div><div>4. I've never checked the benefits, but it can exploit cython if installed..</div><div><br></div><div><br></div><div><b>pynio</b></div><div>1. Can read many formats in addition to netcdf</div><div><br></div><div><br></div><div>As you can see I do not have much experience with pynio mainly because I use netcdf4-python more ...</div><div>I would like to see if someone has compared their performance?</div><div><br></div><div><br></div><div>Cheers</div></div><div class="gmail_extra"><br><div class="gmail_quote">2015-06-15 15:29 GMT-04:00 Tom Roche <span dir="ltr"><<a href="mailto:Tom_Roche@pobox.com" target="_blank">Tom_Roche@pobox.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><br>
Louis Wicker Mon, 15 Jun 2015 13:27:27 -0500 [1]<br>
> Are u aware of [netcdf4-python][2] from Jeff Whitaker?<br>
<br>
I thought PyNIO was "the NCAR way" to interact with netCDF from "the NumPy world." Plainly I am mistaken! So my next question is, how do netcdf4-python and PyNIO compare/contrast? Why use one rather than the other?<br>
<br>
(And the question after that is, does answering the first question require stepping into some kinda political minefield ?-)<br>
<br>
TIA, Tom Roche <<a href="mailto:Tom_Roche@pobox.com">Tom_Roche@pobox.com</a>><br>
<br>
[1]: <a href="http://mailman.ucar.edu/pipermail/pyngl-talk/2015-June/000044.html" rel="noreferrer" target="_blank">http://mailman.ucar.edu/pipermail/pyngl-talk/2015-June/000044.html</a><br>
[2]: <a href="https://github.com/Unidata/netcdf4-python" rel="noreferrer" target="_blank">https://github.com/Unidata/netcdf4-python</a><br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Sasha</div></div>
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