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graph_matrix_4x4_modified.py
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graph_matrix_4x4_modified.py
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# encoding: UTF-8
import sys
import os.path
import glob
import numpy as np
import matplotlib
from matplotlib.ticker import MultipleLocator
import pylab
# Take data files from folder specified by user
folder = sys.argv[1]
vac = sys.argv[2]
vdc = sys.argv[3]
sub_path = '/home/jesus/Doctorado/reducciones_lab/'
path = os.path.join(sub_path, folder, "*.F*")
file_list = glob.glob(path)
# Take sample name from file name
sample_name = os.path.splitext(os.path.basename(file_list[0]))[0]
# Make a list with files ending with F11, F12, ...
matrix_elements = []
for item in file_list:
extension = os.path.splitext(item)[1][1:]
matrix_elements.append(extension)
# Define function that gets data from files
def get_data(n):
return np.genfromtxt(os.path.join(sub_path, folder, sample_name + '.') + str(n),
delimiter='\t',
dtype=None ,
usecols=(0, 1, 2),
names='deg, data, error')
#return deg, data = np.loadtxt(os.path.join(sub_path, folder, sample_name + '.') + str(n),
#delimiter='\t', usecols=(0, 1), unpack=True)
def split_name(name):
return name[0], name[1:]
def load_data(path, ignore_nlines=6):
with open(path, 'rt') as fd:
rows = []
for index, line in enumerate(fd):
if index < ignore_nlines:
continue
columns = [float(x) for x in line.split()]
values = [columns[0]] + columns[1::2]
rows.append(values)
return zip(*rows)
#
#lista = [, , ]
#nombres = ['', '', '']
#for i, j in zip(lista, nombres)
matrix_elements.sort()
scattering_elements = dict()
pylab.figure(figsize=(10, 10), dpi=400)
pylab.rc('text', usetex=True)
pylab.rc("font", size = 9)
for index, name in enumerate(matrix_elements):
data = get_data(name)
if name == 'F11' or name == 'F12' or name == 'F22' or name == 'F33' or name == 'F34' or name == 'F44':
if name == 'F11':
index2 = 1
elif name == 'F12':
index2= 2
elif name == 'F22':
index2= 3
elif name == 'F33':
index2= 4
elif name == 'F34':
index2= 5
elif name == 'F44':
index2= 6
scattering_elements[name] = data
pylab.subplot(4, 4, index + 1)
letter, number = split_name(name)
if index == 0:
pylab.yscale('log')
pylab.text(30, 0.03, name, fontsize=12)
elif index2 == 3:
pylab.ylim(ymin = 0)
pylab.ylim(ymax = 1.1)
pylab.gca().yaxis.set_minor_locator(MultipleLocator(0.1))
index2 = 0
else:
pylab.ylim(ymin = -1)
pylab.ylim(ymax = 1)
pylab.gca().yaxis.set_minor_locator(MultipleLocator(0.1))
if name == 'F12':
pylab.errorbar(data['deg'], -data['data'],
fmt='o', mfc='None', mec='black',
markersize = 4, yerr=data['error'],
ecolor='black', elinewidth=0.5,
capsize= 0, label=str(sample_name))
else:
pylab.errorbar(data['deg'], data['data'],
fmt='o', mfc='None', mec='black',
markersize = 4, yerr=data['error'],
ecolor='black', elinewidth=0.5,
capsize= 0, label=str(sample_name))
xmin,xmax = pylab.xlim()
ymin,ymax = pylab.ylim()
if name == 'F11':
pylab.text(0.4*xmax, 0.2*ymax, r'$F_{{{0}}}$'.format(str(number)), fontsize=12)
elif name == 'F12':
pylab.text(0.4*xmax, 0.75*ymax, '-'+r'$F_{{{0}}}$'.format(str(number))+r'$\rm /\textit{$F$}_{11}$', fontsize=12)
else:
pylab.text(0.4*xmax, 0.75*ymax, r'$F_{{{0}}}$'.format(str(number))+r'$\rm /\textit{$F$}_{11}$', fontsize=12)
pylab.xticks([0, 45, 90, 135, 180])
pylab.gca().xaxis.set_minor_locator(MultipleLocator(15))
pylab.tight_layout()
pylab.legend(loc='center left', bbox_to_anchor=(1, 0.5), title='Vdc='+str(vdc)+' Vac='+str(vac))
pylab.savefig(sample_name, bbox_inches='tight', dpi=400)
pylab.show()