#Libraries to manage different elements
#--------------------------------------
from matplotlib import pyplot as pl
import numpy as np
from matplotlib import rcParams
from matplotlib import gridspec
import matplotlib.ticker as ticker
#-------------------------------------

#Load data
#---------------------------------------
data=np.loadtxt('linear_data.dat')
#---------------------------------------

#Font and latin accents
#------------------------------
rcParams['text.latex.unicode']=True #Enable Unicode
pl.rc('font',family='serif')        #Use a serif font

#Plot Figure
#----------------------------------
ax1 = pl.subplot()
#Plot the xs versus ys vector
ax1.plot(data[:,0], data[:,1], label='My First Plot', lw='0.8', color='red')

#Draws an arbitrary line [xi,xf], [yi,yf]
ax1.plot([4,4 ], [0, 26],  linestyle='--',  lw=0.5)
#-----------------------------------

#General plot elements
#-------------------------------------
pl.xlabel(u"Energía [eV]", x=0.5, y=0)    #X label
pl.ylabel(u"Position [m]", x=0.0, y=0.5) #Y label 
pl.xlim(0.0, 10.0)  # X range
pl.ylim(0, 26)      # Y range
pl.legend(loc=2, bbox_to_anchor=(0.30, 0.95),prop={'size':10})   #Legend format 
#-------------------------------------

#Add text in the plot
#-------------------------------------
ax1.text(1, 5, r'$\alpha_i = \sum_{i=0}^\infty x_i$', fontsize=23)


#Intructions for the exit format: png, eps, ps, svg
#---------------------------------------------------
pl.savefig('simple_enhanced.png',format='png', dpi=400)

pl.show()