source: trunk/UTIL/PYTHON/planetoplot_v2/demo_data/vertpress.ppobj @ 910

Last change on this file since 910 was 910, checked in by aslmd, 12 years ago

PLANETOPLOT v2

  1. Spiga LMD/UPMC 24/03/2013

Contents

core

  • ppclass.py --> main class with pp() objects (need ppplot and ppcompute)
  • ppplot.py --> plot class (can be used independently, need ppcompute)
  • ppcompute.py --> computation class (can be used independently)

scripts

  • pp.py --> command line utility to use ppclass
  • pp_reload.py --> command line utility to load saved plot objects *.ppobj
  • example/* --> example scripts using ppclass

settings files

  • set_area.txt --> setting file: predefined areas for plotting (can be omitted)
  • set_back.txt --> setting file: predefined backgrounds for plotting (can be omitted)
  • set_multiplot.txt --> setting file: predefined coefficients for multiplots (can be omitted)
  • set_ppclass.txt --> setting file: predefined variables for x,y,z,t (can be omitted)
  • set_var.txt --> setting file: predefined colorbars, format, labels, etc... for variables (can be omitted)

documentation

  • README.TXT --> this README file

data

  • demo_data/* --> plot objects for a demonstration tour and customizing tests

Requirements

python + numpy + matplotlib + netCDF4

  • for mapping --> Basemap
  • for scientific computations --> scipy

[recommended: Enthought Python Distribution (free for academics)]

Installation

  • install required softwares and librairies in requirements
  • add planetoplot_v2 in your PYTHONPATH environment variable (and in your PATH to use pp.py)

Take a demo tour

pp_reload.py demo_data/*

Improvements compared to v1

  • code readability and structuration for future improvements
  • modularity (class formulation) + easy definition/addition of attributes
  • separation between data retrieval and plotting
  • versatility + command line (pp.py)

--> for quick inspection

+ interactive session (ipython)

--> for testing and exploring

+ scripts

--> for powerful and fully customized results

  • performance (overall and on large files) + memory consumption (only retrieve what is needed)
  • saving/loading plot objects in/from *.ppobj
  • plot aesthetics and customizing (see header in ppplot)
  • multiplot flexibility with .plotin attribute
  • easy definition of presets with set_*.txt files
  • function: one field vs. another one
  • emulation of + - / * operations on fields (between two fields or between a field and a int/float)
  • computations of min/max in addition to mean
  • simple inspection of dimensions+variables in a file (pp.py -f file)
  • verbose / non verbose mode

Acknowledgements

Thanks to A. Colaitis, T. Navarro, J. Leconte
for feedbacks and contributions on version 1
File size: 4.9 KB
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