[ncl-install] Problems testing Nil
Kevin Hallock
hallock at ucar.edu
Wed Jun 26 12:05:44 MDT 2019
Hi Mia Sophie,
The NUG_multi_timeseries.ncl script is supposed to create a PNG file called “NUG_multi_timeseries.png” in the same directory you were in when you ran “ncl $NCARG_ROOT/lib/ncarg/nclex/nug/NUG_multi_timeseries.ncl”.
Could you please try running the command “ls -l NUG_multi_timeseries.png” from the same directory that you originally ran “ncl $NCARG_ROOT/lib/ncarg/nclex/nug/NUG_multi_timeseries.ncl” to see if the PNG file does exist?
If the file NUG_multi_timeseries.png does not exist, then please try activating the environment (if necessary) and running the script again:
conda activate ncl_stable # might need to use "source activate ncl_stable"
ncl $NCARG_ROOT/lib/ncarg/nclex/nug/NUG_multi_timeseries.ncl
ls -l NUG_multi_timeseries.png
I hope this helps!
Kevin
> On Jun 26, 2019, at 6:01 AM, Specht, Mia Sophie via ncl-install <ncl-install at ucar.edu> wrote:
>
> Hello!
>
> I’ve installed NCL following the instructions on your website and it all seemed to work. Then I ran the recommended tests and the first two worked fine ("ncl -V" and "ncl $NCARG_ROOT/lib/ncarg/nclex/gsun/gsun02n.ncl"). The first one echoed “6.6.2” and the second one popped up the plots. However, the 3rd test line "ncl $NCARG_ROOT/lib/ncarg/nclex/nug/NUG_multi_timeseries.ncl" does not produce a PNG file as said on the website. I don’t get an error message either. This is what I get:
>
> (ncl_stable) d147-143:PhD miasophiespecht$ ncl $NCARG_ROOT/lib/ncarg/nclex/nug/NUG_multi_timeseries.ncl
> Copyright (C) 1995-2019 - All Rights Reserved
> University Corporation for Atmospheric Research
> NCAR Command Language Version 6.6.2
> The use of this software is governed by a License Agreement.
> See http://www.ncl.ucar.edu/ <http://www.ncl.ucar.edu/> for more details.
>
> Also, this is the output of the commands asked for on the website:
>
> (ncl_stable) d147-143:PhD miasophiespecht$ conda list -n ncl_stable
> # packages in environment at /anaconda3/envs/ncl_stable:
> #
> # Name Version Build Channel
> boost-cpp 1.70.0 hd59e818_0 conda-forge
> bzip2 1.0.6 h1de35cc_1002 conda-forge
> ca-certificates 2019.6.16 hecc5488_0 conda-forge
> cairo 1.16.0 h0ab9d94_1001 conda-forge
> cfitsio 3.430 h50cca31_1002 conda-forge
> curl 7.64.1 h22ea746_0 conda-forge
> esmf 7.1.0 h3ab5097_1006 conda-forge
> expat 2.2.5 h6de7cb9_1003 conda-forge
> fontconfig 2.13.1 h1027ab8_1000 conda-forge
> freetype 2.10.0 h24853df_0 conda-forge
> freexl 1.0.5 h1de35cc_1002 conda-forge
> geos 3.7.1 h0a44026_1000 conda-forge
> geotiff 1.5.1 h83de174_2 conda-forge
> gettext 0.19.8.1 h46ab8bc_1002 conda-forge
> giflib 5.1.7 h01d97ff_1 conda-forge
> glib 2.58.3 h9d45998_1001 conda-forge
> gsl 2.5 ha2d443c_0 conda-forge
> hdf4 4.2.13 hf3c6af0_1002 conda-forge
> hdf5 1.10.5 nompi_h0cbb7df_1100 conda-forge
> hdfeos2 2.20 h207910d_1000 conda-forge
> hdfeos5 5.1.16 h60f75e3_5 conda-forge
> icu 58.2 h0a44026_1000 conda-forge
> jasper 1.900.1 h636a363_1006 conda-forge
> jpeg 9c h1de35cc_1001 conda-forge
> json-c 0.13.1 h1de35cc_1001 conda-forge
> kealib 1.4.10 h6659575_1005 conda-forge
> krb5 1.16.3 hcfa6398_1001 conda-forge
> libblas 3.8.0 7_openblas conda-forge
> libcblas 3.8.0 7_openblas conda-forge
> libcurl 7.64.1 h16faf7d_0 conda-forge
> libcxx 8.0.0 2 conda-forge
> libcxxabi 8.0.0 2 conda-forge
> libdap4 3.19.1 hae55d67_1000 conda-forge
> libedit 3.1.20170329 hcfe32e1_1001 conda-forge
> libffi 3.2.1 h6de7cb9_1006 conda-forge
> libgdal 2.4.1 hbed8f18_4 conda-forge
> libgfortran 3.0.1 0 conda-forge
> libiconv 1.15 h01d97ff_1005 conda-forge
> libkml 1.3.0 hed7d534_1010 conda-forge
> libnetcdf 4.6.2 h1a02027_1002 conda-forge
> libpng 1.6.37 h2573ce8_0 conda-forge
> libpq 11.3 h56406e1_0 conda-forge
> libspatialite 4.3.0a he900ada_1028 conda-forge
> libssh2 1.8.2 hcdc9a53_2 conda-forge
> libtiff 4.0.10 hd08fb8f_1003 conda-forge
> libxml2 2.9.9 hd80cff7_0 conda-forge
> llvm-openmp 8.0.0 h770b8ee_0 conda-forge
> lz4-c 1.8.3 h6de7cb9_1001 conda-forge
> mpi 1.0 mpich conda-forge
> mpich 3.2.1 ha90c164_1011 conda-forge
> ncl 6.6.2 h202f54f_6 conda-forge
> ncurses 6.1 h0a44026_1002 conda-forge
> netcdf-fortran 4.4.5 hdf19b3b_1001 conda-forge
> openblas 0.3.5 h436c29b_1001 conda-forge
> openjpeg 2.3.1 hc1feee7_0 conda-forge
> openmp 8.0.0 0 conda-forge
> openssl 1.1.1b h01d97ff_2 conda-forge
> pcre 8.41 h0a44026_1003 conda-forge
> pixman 0.38.0 h01d97ff_1003 conda-forge
> poppler 0.67.0 hb974355_6 conda-forge
> poppler-data 0.4.9 1 conda-forge
> postgresql 11.3 hf10c77c_0 conda-forge
> proj4 6.1.0 h2cc77ee_2 conda-forge
> readline 7.0 hcfe32e1_1001 conda-forge
> sqlite 3.28.0 h9721f7c_0 conda-forge
> tk 8.6.9 h2573ce8_1002 conda-forge
> tzcode 2019a h01d97ff_1002 conda-forge
> udunits2 2.2.27.6 h776b7f1_1001 conda-forge
> xerces-c 3.2.2 h44e365a_1001 conda-forge
> xz 5.2.4 h1de35cc_1001 conda-forge
> zlib 1.2.11 h1de35cc_1004 conda-forge
> zstd 1.4.0 ha9f0a20_0 conda-forge
> (ncl_stable) d147-143:PhD miasophiespecht$ conda --version
> conda 4.7.5
> (ncl_stable) d147-143:PhD miasophiespecht$ which ncl
> /anaconda3/envs/ncl_stable/bin/ncl
> (ncl_stable) d147-143:PhD miasophiespecht$ ncl -V
> 6.6.2
> (ncl_stable) d147-143:PhD miasophiespecht$ env | grep NCARG
> NCARG_ROOT=/anaconda3/envs/ncl_stable
>
>
> Thank you very much for your help!
>
> Mia Sophie
>
>
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