iam-git / WellMet (public) (License: MIT) (since 2021-08-31) (hash sha1)
WellMet is pure Python framework for spatial structural reliability analysis. Or, more specifically, for "failure probability estimation and detection of failure surfaces by adaptive sequential decomposition of the design domain".

/gp_plot.py (5d721d117448dbb96c554ea8f0e4651ffe9ac457) (2718 bytes) (mode 100644) (type blob)

#!/usr/bin/env python
# coding: utf-8

import PyGnuplot as gp
import os

# nikdo mi neuvěří, že by tohle postačílo a nebylo by nutné tohlensto furt úpravovat
def gp_plot(sample_box, space='R', terminal='png', filename=''):
    if not filename:
        filename = 'store/%s_%s_%s'%(sample_box.gm_signature, space, sample_box.nsim)
    if space in ['Rn', 'GK', 'G']:
        gp.c('set autoscale xy')
        gp.c('set size square')
        gp.c('set zeroaxis')
    elif space in ['P', 'U']:
        gp.c('set xrange [0:1]')
        gp.c('set yrange [0:1]')
        gp.c('set size square')
        #gp.c('set autoscale')
        gp.c('unset zeroaxis')
    else: # R teda?
        gp.c('set size noratio')
        gp.c('set autoscale')
        gp.c('unset zeroaxis')
        
    gp.c('set terminal ' + terminal)
    gp.c('set output "%s.%s"'%(filename, terminal))
    if os.name == 'posix':
        gp.c('set decimalsign locale "POSIX"')
    
    # legenda
    gp.c('unset key')
    
    # se mi zda, že gp bere data v řadcích
    f_name = "%s_failure.dat" % (filename)
    s_name = "%s_success.dat" % (filename)
    gp.s(getattr(sample_box.failure_samples, space).T, f_name)
    gp.s(getattr(sample_box.success_samples, space).T, s_name)
    
    
    # rozkaz, který předaváme gnuplotovi
    gp_plot = 'plot "%s" title "Success points" w p lc rgb "green", "%s" title "Failure points" w p lc rgb "red"' % (s_name, f_name)
    
    # Kružničky chcete?
    # Кружочки ннада?
    if space in ['Rn', 'G']:
        gp.c('set parametric')
        for i in range(5):
            lw = 2 - i*0.3
            gp_plot += ', cos(t)*%s,sin(t)*%s notitle w l lc rgb "black" lw %s'%(i+1, i+1, lw)
            
    # ne všichni majó definované hranice
    try:
        bounds = sample_box.get_2D_boundary()
    
        for i in range(len(bounds)):
            bound = getattr(bounds[i], space).T 
            gp.s(bound, "%s_boundary_%s.dat"%(filename, i+1))
            gp_plot += ', "%s_boundary_%s.dat" notitle w l lc rgb "blue"'%(filename, i+1)
    except AttributeError:
        pass
    
    # Plot!
    gp.c(gp_plot)



# nikdo mi neuvěří, že by tohle postačílo a nebylo by nutné tohlensto furt úpravovat
def plot(data2D, terminal='png', filename=''):
    if not filename:
        filename = 'store/plot_%s'%(len(data2D[0]))
        
    gp.c('set terminal ' + terminal)
    gp.c('set output "%s.%s"'%(filename, terminal))
    if os.name == 'posix':
        gp.c('set decimalsign locale "POSIX"')
    
    
    # se mi zda, že gp bere data v řadcích
    gp.s(data2D, filename+'.dat')
    
    # Plot!
    # rozkaz, který předaváme gnuplotovi
    gp.c('plot "%s.dat" ' % (filename))


Mode Type Size Ref File
100644 blob 10887 b53080c965974cd446104f9cf6d8c7bd84fe8416 IS_stat.py
100644 blob 6 0916b75b752887809bac2330f3de246c42c245cd __init__.py
100644 blob 26851 b0ccb9c800e0fd7ecb869b0e052b387f77868382 blackbox.py
100644 blob 7266 441664a465885f76786e9a259015983579217d09 candybox.py
100644 blob 13438 5a97b98b5b5182b075e684ae473a992458f9e574 f_models.py
100644 blob 27159 eb3a87892b1d197f21d78f519ef93d86ca86c4ed g_models.py
100644 blob 2718 5d721d117448dbb96c554ea8f0e4651ffe9ac457 gp_plot.py
100644 blob 10489 1f6dd06a036fdc4ba6a7e6d61ac0b84e8ad3a4c1 mplot.py
100644 blob 896 14e91bd579c101f1c85bc892af0ab1a196a165a0 plot.py
100644 blob 2807 1feb1d43e90e027f35bbd0a6730ab18501cef63a plotly_plot.py
100644 blob 10629 4a1e8fb719565c434fb5835fc2c0620171a8d6f2 qt_plot.py
100644 blob 6251 fc18a41a14682b505a10a2947cfd6fdbea4c59cd reader.py
100644 blob 4228 278bfa08534fcbdf58652edf636fb700395a5f1d samplebox.py
100644 blob 5553 bac994ae58f1df80c7f8b3f33955af5402f5a4f3 sball.py
100644 blob 21563 c9f8f898feec1fbcb76061bb3df981ce6e455049 whitebox.py
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