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CmpCalib_matplotlib.py
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CmpCalib_matplotlib.py
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#!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
import argparse
import numpy as np
import re
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import matplotlib.cm as cm
from scipy.interpolate import griddata
from collections import OrderedDict
class Calibration:
def __init__(self):
self.path = ''
self.e_radiaux=[]
self.e_plani=[]
self.e_plani_max=0
self.random_color = np.asarray( np.random.rand(3) )
return
def load(self):
file=open(self.path,'r')
for row in file :
if re.match('\s\d', row) :
self.e_radiaux.append(map(float,row.split()))
elif re.match('\d', row):
self.e_plani.append(map(float,row.split()))
return
def set_path(self,path):
self.path=path
return
def set_e_plani_max(self):
self.e_plani_max = np.max(np.asarray(self.e_plani)[:,4])
return
class Comparaison:
def __init__(self):
self.path_calibs = []
self.calibrations = OrderedDict()
self.max_all_e_plani=[]
self.max_scale= 1.0
self.is_max_scale_defined=False
self.linewidth = 1.75
self.fontsize = 17
self.nbclass=50
self.scale_output=1.0
self.plot = plt.figure(1)
self.plot.set_size_inches(20,15)
self.ratio = 0.2
self.dir_output=''
self.interpolation = 'linear'
self.width_arrows = 0.003
return
#Instances all Calibs
def load(self):
for path_calib in self.path_calibs:
self.calibrations[path_calib] = Calibration() #Instance
self.calibrations[path_calib].set_path(path_calib) # set path
self.calibrations[path_calib].load() # parse txt file
self.calibrations[path_calib].set_e_plani_max() # store the max euclidian dist
self.max_all_e_plani.append(self.calibrations[path_calib].e_plani_max) # store in Comparaison object the maximum objet between all file to plot to share same scale
return
def get_args(self):
try:
parser = argparse.ArgumentParser()
except:
parser.print_help()
sys.exit(0)
parser.add_argument( 'Calibrations' , help = 'Absolute path of calibration file(s).' , type = str , nargs = '+' )
parser.add_argument( '-o' , '--output' , help = 'Absolute path to save' , type = str , action = "store", dest = 'output')
parser.add_argument( '-m' , '--max_scale' , help = 'Maximum deviation value to plot. Default is maximum deviation from input file(s).' , type = float , action = "store", dest = 'max_scale')
parser.add_argument( '-c' , '--nbclass' , help = 'Number of classes for the LUT. Default is 50.' , type = int , action = "store", dest = 'nbclass')
parser.add_argument( '-f' , '--fontsize' , help = 'Fontsize. Default is 17.' , type = int , action = "store", dest = 'fontsize')
parser.add_argument( '-l' , '--linewidth' , help = 'Width of the line to plot. Default is 1.75.' , type = float , action = "store", dest = 'linewidth')
parser.add_argument( '-r' , '--ratio' , help = 'Padding in each "Ecarts Planimetriques" frame (%% of maximum value X & Y). Useful to displayed whole plotted arrows. Default is 0.2.' , type = float , action = "store", dest = 'ratio')
parser.add_argument( '-sc' , '--scale_output' , help = 'coefficient to choose scale of image output.' , type = float , action = "store", dest = 'scale_output')
parser.add_argument( '-i' , '--interpolation_mode' , help = 'Choose between: {‘linear’, ‘nearest’, ‘cubic’}. Default is ''linear'' ', type = str , action = "store", dest = 'interpolation_mode')
parser.add_argument( '-w' , '--width_arrows' , help = 'Width of the arrows. Default is 0.03', type = float , action = "store", dest = 'width_arrows')
args = parser.parse_args()
self.path_calibs = args.Calibrations
self.dir_output = os.path.join(os.path.dirname(self.path_calibs[0]),'CmpCalib_plot.png')
if args.ratio is not None:
self.ratio = args.ratio
if args.output is not None:
self.dir_output = args.output
if args.max_scale is not None:
self.is_max_scale_defined=True
self.max_scale = args.max_scale
if args.nbclass is not None:
self.nbclass = args.nbclass
if args.fontsize is not None:
self.fontsize = args.fontsize
if args.linewidth is not None:
self.linewidth = args.linewidth
if args.scale_output is not None:
self.scale_output = args.scale_output
if args.interpolation_mode is not None:
self.interpolation = args.interpolation_mode
if args.width_arrows is not None:
self.width_arrows = args.width_arrows
return
def initialize_plot(self):
plt.clf() # clear
plt.ion()
#~ plt.show() #keep open
return
def plot_e_radiaux_plani(self):
gs = gridspec.GridSpec(7, 7)
for i,calibration in enumerate(self.calibrations.keys()):
#### plot ecart radiaux ####
#~ ax = plt.subplot2grid((4, 4), (0,0),colspan=4,rowspan=1)
ax = plt.subplot(gs[0:2, 0:7])
ax.plot(np.asarray(self.calibrations[calibration].e_radiaux)[:,0],np.asarray(self.calibrations[calibration].e_radiaux)[:,1],\
c=self.calibrations[calibration].random_color,label=os.path.basename(calibration),linewidth = self.linewidth) # plot ecart radiaux data
ax.tick_params( axis = 'both' , labelsize = self.fontsize-3)
ax.set_xlabel('Rayon (px)', horizontalalignment = 'center').set_fontsize(self.fontsize)
ax.set_ylabel( 'Ecarts radiaux (px)' ).set_fontsize(self.fontsize)
ax.legend(loc = 'upper left', prop = {'size': self.fontsize} )
ax.spines['top'].set_visible(False)
#~ ax.yaxis.set_ticks_position('left','right')
ax.xaxis.set_ticks_position('bottom')
#### plot ecart plani ####
if len(self.calibrations)==1:
ax1 = plt.subplot(gs[3:7, 1:6])
ax1.set_title(os.path.basename(calibration),fontsize=self.fontsize+4,fontweight='bold',color=self.calibrations[calibration].random_color,position=(0.5, 1-(self.ratio/5))) #if 1 file
elif len(self.calibrations)==2:
ax1 = self.plot.add_subplot(2,2,(i+1+2))
ax1.set_title(os.path.basename(calibration),fontsize=self.fontsize,fontweight='bold',color=self.calibrations[calibration].random_color,position=(0.5, 0.95-(self.ratio/2.8))) #if 2 files
else:
ax1 = self.plot.add_subplot(3,3,(i+len(self.calibrations)))
ax1.set_title(os.path.basename(calibration),fontsize=self.fontsize,color=self.calibrations[calibration].random_color,position=(0.5, 0.95-(self.ratio/3))) #if n files
ax1.spines['top'].set_visible(False)
ax1.spines['right'].set_visible(False)
ax1.spines['left'].set_visible(False)
ax1.spines['bottom'].set_visible(False)
ax1.set_xticks([min(np.asarray(self.calibrations[calibration].e_plani)[:,0]),max(np.asarray(self.calibrations[calibration].e_plani)[:,0])/2,max(np.asarray(self.calibrations[calibration].e_plani)[:,0])])
ax1.set_yticks([min(np.asarray(self.calibrations[calibration].e_plani)[:,1]),max(np.asarray(self.calibrations[calibration].e_plani)[:,1])/2,max(np.asarray(self.calibrations[calibration].e_plani)[:,1])])
if i==0:
ax1.set_ylabel('Ecarts Planimetriques (px)').set_fontsize(self.fontsize)
ax1.tick_params( axis = 'both' , labelsize = self.fontsize-3)
ax1.set_xlabel('Rayon (px)', horizontalalignment = 'center').set_fontsize(self.fontsize)
xi = np.linspace(np.min(np.asarray(self.calibrations[calibration].e_plani)[:,0])-np.max(np.asarray(self.calibrations[calibration].e_plani)[:,0])*(self.ratio), np.max(np.asarray(self.calibrations[calibration].e_plani)[:,0])*(1+self.ratio),400)
yi = np.linspace(np.min(np.asarray(self.calibrations[calibration].e_plani)[:,1])-np.max(np.asarray(self.calibrations[calibration].e_plani)[:,1])*(self.ratio), np.max(np.asarray(self.calibrations[calibration].e_plani)[:,1])*(1+self.ratio),400)
points = np.vstack((np.asarray(self.calibrations[calibration].e_plani)[:,0],np.asarray(self.calibrations[calibration].e_plani)[:,1])).T
values = np.asarray(self.calibrations[calibration].e_plani)[:,4]
zi = griddata(points,values,(xi[None,:], yi[:,None]), method=self.interpolation)
m = cm.ScalarMappable(cmap=cm.viridis_r)
if not self.is_max_scale_defined:
v = np.linspace(0, np.max(self.max_all_e_plani),self.nbclass,endpoint=True)
else:
v = np.linspace(0, self.max_scale,self.nbclass,endpoint=True)
m.set_array(v)
CS = plt.contourf(xi,yi,zi,v,cmap=m.get_cmap())
ax1.quiver(np.asarray(self.calibrations[calibration].e_plani)[:,0],np.asarray(self.calibrations[calibration].e_plani)[:,1],np.asarray(self.calibrations[calibration].e_plani)[:,2],np.asarray(self.calibrations[calibration].e_plani)[:,3],width=self.width_arrows)
plt.axis('equal')
plt.draw()
if i == (len(self.calibrations)-1):
cbar_ax = self.plot.add_axes([0.95, 0.15, 0.01, 0.7])
self.plot.colorbar(m,cax=cbar_ax)
plt.subplots_adjust(wspace=0.1, hspace=0)
#~ self.plot.set_size_inches( int(round(20*self.scale_output)) , int(round(15*self.scale_output)) )
self.plot.savefig(self.dir_output,dpi=90)
if __name__ == '__main__':
comparaison=Comparaison()
comparaison.get_args()
print('--- parsing file(s) ---')
comparaison.load()
comparaison.initialize_plot()
print('--- plotting ---')
comparaison.plot_e_radiaux_plani()
print('--- Saved to : '+ comparaison.dir_output )