[ncl-talk] NCL-to-Python examples

[Carl Schreck]

I've starting reading more closely through some of the transition-to-python
documentation (specifically the "*NCL-to-Python Transition Guide*
<http://www.ncl.ucar.edu/Document/Manuals/NCL_to_Python/Transition_Guide_NCL_PyNGL.pdf>"
and the *suite of NCL and Python examples
<http://www.ncl.ucar.edu/Applications/NCL_to_Python>).*

First off, these are already excellent resources, and I know they just
preliminary works-in-progress at this stage. They have already answered
many of my questions as to how to replicate my NCL workflow in python.

I am wondering if the NCL team has a formal way to track feature requests
for things that either need to be in these guides and/or put into the
future TBD python package.

I know Barry Lynn had a list of such items in the previous thread:

> 1) the calendar functions, inverse and regular.
> 2) The ability to subset strings and obtain dates for example from the
> strings.
> 3) The ability to use attributes to obtain times (e.g., from the GFS data).
> 4)  The ability to call shell commands from within NCL.
> 5) The ability to parse variables in a list, e.g., CSV files read as
> single lines and then parsed into separate variables.
> 6) The ability to "WRAPIT" Fortran programs.
> 7) The ability to subset arrays and conform them.


My impression is that python already natively does 2-7, possibly more
easily than NCL (I always thought NCL was a little clunky with strings and
csv).

However, I would certainly like to see examples for equivalents of
cd_calendar, cd_inv_calendar, cd_string, cd_convert, and time_axis_labels.
I'm sure they exist, I just don't see them yet in the current documents
from NCL.

Thanks!
Carl


-- 

<https://ncics.org/> *Carl J. Schreck III, PhD*
*Research Scholar*
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