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that's cool! I read about some problems in the past....but that's
really good news!
Another cause to dive into PyTroll...! ;-)
Am 14.04.19 um 21:57 schrieb
I run (and develop) SatPy on a windows machine, it works
without any problems or modifications compared to Linux. Just
install Miniconda and away you go!
On Sun, 14 Apr 2019 at 20:54,
Christian Peters via Groups.Io <email@example.com
really a great overview about the possibilities we have with
to process data received by EUMETCAST. The detailed
installation instructions and the
scripts are very helpful to dive into the magic of "make it
by yourself" and helps a lot, as the
documentation of PyTroll lacks some more code examples. It
is really amazing that you can
have nice composites with a few lines of code! Really highly
Thank you very much for your efforts, maybe someone will now
try PyTroll under Windows or Mac OS?
But I think the 'best' platform could be Linux as it's
Maybe worth a try to install Linux for the first time...?
13.04.19 um 10:28 schrieb Ernst Lobsiger:
I'am back with PyTroll/SatPy for EUMETCast. Python is
going to version 3.7+ next year
and all support for Python 2.7 will end on January 1st
2020. I have now (re-)written my
HOWTO using Python 3.7.3 on a Debian 10 (Buster, still
testing) GNU/Linux box. I attach
this HOWTO and a couple of PyTroll/SatPy scripts that
produce high quality images. It
must be noted that these scripts should run with little
adaptions under Windows with
Anaconda3 and PyTroll/SatPy installed. This means that
installation method 3 described
in my HOWTO can be used on Windows or Mc OS boxes as well.
One thing I'd like to stress
is that PyTroll/SatPy has projection library Proj under
the hood. So it is rather easy
to reproject data moving your station or any other point
of interest into the center of
the picture. With Proj more or less any map projection you
can think of is included.
I now wrote a number of scripts for polar orbiting
satellites as well. If you get
data from Metop_A/B/C, Suomi_NPP, NOAA-20 or
EOS-Aqua/Terra each of these satellites
will produce one usable pass near or over your station
every day and night. My scripts
will automatically pick up the right files to produce
images of your "personal" pass.
I have put a couple of images that can be produced on my
GNU/Linux receiver Terra.
Terra can be reached here: http://18.104.22.168:85/Pictures
PyTroll/SatPy is now slowly becomming mature and the
documentation has been improved
as well. We witness the grow up of a very professional
software tool that is already
used by many universities and national met offices 24/7.
Those who are willing to read
the documentation and climb some learning curve can be
part of the development. This
is all FOSS and the small team of core developers is
responsive and willing to help.
P.S. As my text files were written under GNU/Linux Windows
users might miss CRs at the
end of lines. If this is the case open the files with
WordPad and (re-)save them again.
And *YES* I'm still a Python dummy. Don't compare my code
with what people like Simon do.