|
Last change
on this file since 916 was
910,
checked in by aslmd, 12 years ago
|
PLANETOPLOT v2
- 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
|
-
Property svn:executable set to
*
|
|
File size:
831 bytes
|
| Line | |
|---|
| 1 | #! /usr/bin/env python |
|---|
| 2 | # ----------------------------------------------------------------------- |
|---|
| 3 | # A very simple script to reload a previously saved plot array in ppclass |
|---|
| 4 | # ... for a demo, try "pp_reload.py demo_data/*" |
|---|
| 5 | # Author: A. Spiga 03/2013 |
|---|
| 6 | # ----------------------------------------------------------------------- |
|---|
| 7 | from optparse import OptionParser ### TBR by argparse |
|---|
| 8 | from ppclass import pp |
|---|
| 9 | # ----------------------------------------------------------------------- |
|---|
| 10 | parser = OptionParser() |
|---|
| 11 | parser.add_option('-o',action='store',dest='out',type="string",default="gui",help='Specify a new output format') |
|---|
| 12 | (opt,args) = parser.parse_args() |
|---|
| 13 | # ----------------------------------------------------------------------- |
|---|
| 14 | for files in args: |
|---|
| 15 | yeah = pp() |
|---|
| 16 | yeah.defineplot(loadfile=files) |
|---|
| 17 | yeah.out = opt.out |
|---|
| 18 | yeah.makeplot() |
|---|
| 19 | |
|---|
Note: See
TracBrowser
for help on using the repository browser.
