Last change
on this file since 911 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
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Property svn:executable set to
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File size:
1.1 KB
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1 | #! /usr/bin/env python |
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2 | from ppclass import pp |
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3 | |
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4 | tsurf = pp() |
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5 | tsurf.file = "/home/aymeric/Big_Data/DATAPLOT/diagfired.nc" |
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6 | tsurf.var = "tsurf" |
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7 | tsurf.x = None |
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8 | tsurf.y = 10. |
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9 | tsurf.t = 2. |
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10 | tsurf.getdefineplot() |
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11 | |
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12 | ps = pp() |
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13 | ps << tsurf |
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14 | ps.var = "ps" |
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15 | ps.getdefineplot() |
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16 | |
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17 | S = ps.f(tsurf) |
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18 | S.p[0].lstyle="" |
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19 | S.p[0].marker="h" |
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20 | S.p[0].color="g" |
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21 | S.makeplot() |
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22 | |
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23 | icetot = pp() |
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24 | icetot << tsurf |
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25 | icetot.var = "icetot" |
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26 | icetot.getdefineplot() |
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27 | |
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28 | S2 = icetot.f(tsurf) |
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29 | S2.p[0].lstyle="" |
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30 | S2.p[0].marker="D" |
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31 | S2.p[0].color="r" |
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32 | S2.makeplot() |
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33 | |
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34 | u = pp() |
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35 | u << tsurf |
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36 | u.var = "u" |
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37 | u.z = 1. |
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38 | u.get() |
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39 | |
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40 | v = pp() |
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41 | v << u |
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42 | v.var = "v" |
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43 | v.get() |
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44 | |
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45 | wind = u**2 + v**2 |
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46 | wind = wind**0.5 |
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47 | S3 = wind.f(ps) |
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48 | S3.p[0].lstyle="" |
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49 | S3.p[0].marker="o" |
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50 | S3.p[0].color="k" |
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51 | S3.p[0].ylabel="wind speed $\sqrt{u^{2}+v^{2}}$ (m s$^{-1}$)" |
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52 | S3.makeplot() |
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53 | |
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54 | ## multidim scatter also possible |
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55 | ## the important thing is forcedimplot |
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56 | |
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57 | tsurf = pp() |
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58 | tsurf.file = "/home/aymeric/Big_Data/DATAPLOT/diagfired.nc" |
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59 | tsurf.var = "tsurf" |
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60 | tsurf.x = None |
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61 | tsurf.y = None |
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62 | tsurf.t = 2. |
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63 | tsurf.forcedimplot = 1 |
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64 | tsurf.getdefineplot() |
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65 | |
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66 | ps = pp() |
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67 | ps << tsurf |
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68 | ps.var = "ps" |
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69 | ps.getdefineplot() |
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70 | |
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71 | S = ps.f(tsurf) |
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72 | S.p[0].lstyle="" |
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73 | S.p[0].marker="h" |
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74 | S.p[0].color="g" |
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75 | S.makeplot() |
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