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Quick and dirty static plots of NWP output

Project description

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dlotter

Plot data from NWP output (BETA - in development).
The "word" dlotter is a contraction of DMI and Plotter.

Install

Installation should be relatively simple.

Install using pip: pip install dlotter

One dependency is "cartopy". pip installation of cartopy seems to be currently broken, thus leads to a failed installation of dlotter. If this happens, either build cartopy from source or with conda (see section "Prerequisites").

Usage

Submodules can be imported, but this software is designed to be used as a CLI (Command-Line-Interface), by calling the __main__ module. See examples on the wiki page: https://github.com/dmidk/dlotter/wiki

python -m dlotter: Prints a help message

python -m dlotter plot: Calls the plot submodule and prints a help message (as flags are needed for this command to work)

python -m dlotter plot -p t2m:w10m -d /path/to/grib2/files/ --filetype grib2 --verbose: Plots t2m and w10m from grib2 files in the directory specified.

python -m dlotter plot -p t2m:w10m -d /path/to/grib2/files/ --prefix 0 --filetype grib2 --limit-files 4 --verbose: Limits to use the first 4 files sorted by name and only use files starting with "0" in their name.

python -m dlotter plot -p t2m:w10m -d /path/to/netcdf/files/ --postfix .nc --filetype netcdf --verbose: Plots data from netcdf files with the postfix ".nc" in the directory specified.

Flags and commands

'-a' or '--area' dk,neu
'-d' or '--directory' /path/to/files/
'-p' or '--parameters' t2m:w10m:precip:slp:td2m:tcc:lmhc

areas:

  • dk: Denmark
  • neu: Northern Europe
  • gl: Greenland
  • disko: Disko Bay
  • sjalland: Zealand
  • europe: Europe
  • faroes: Faroe Islands
  • scoresbysund: Scoresbysund (Greenland)

Parameters:

  • t2m: 2 Meter Temperature
  • w10m: 10 Meter Wind Speed
  • precip: Accumulated Precipitation
  • slp: Sea Level Pressure
  • td2m: 2 Meter Dewpoint Temperature
  • tcc: Total Cloud Cover
  • lmhc: Low, Medium, High clouds

Important assumptions

  • All files should be in the same projection. This is to speed up the plotting.
  • All files will be plotted in the same domain. This is also to speed up plotting.
  • All data at one time are in the same file

Prerequisites

dlotter is a script tool based on python. Dependencies is defined in dlotter.yml and a python environment can be made using (mini)conda:

conda env create -f dlotter.yml

Build package

To build from the source code:

python setup.py sdist bdist_wheel

To install locally:

pip install dist/dlotter-$VERSION-py3-none-any.whl --upgrade

To deploy to PyPi (Only users with access can do this):

python -m twine upload dist/*

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