import matplotlib.pyplot as plt
# the pound sign indicates a comment
import numpy as np
from pylab import *
import os

#some font crap -- ignore
font = {'family' : 'serif',
        'weight' : 'normal',
        'size'   : 14}
plt.rc('font', **font)
plt.rc('text', usetex=False)

#don't try to understand what is plt or figure or axis object, just accept it
plt.figure(figsize=(7,4))  #width and heigh ot figure
fig = plt.figure(1)
ax = fig.add_axes([0.1,0.15,0.85,0.76]) # (offset of yaxis,xaxis,width,height as % of window)

#read in some data
mydata = np.loadtxt('sample_plot.dat',skiprows=1) #first line of this file was comment
mydata = mydata.transpose()  # if data for given variable is in given column (rather than by row)
# mydata is a matrix of values, now t,x,y are the 0th, 4th and 5th column
t=mydata[0]
x=mydata[4]
y=mydata[5]

plt.plot(t,x,linestyle='-',linewidth=3,color='g',markersize=8, marker='s', markerfacecolor='none', markeredgecolor='g',markeredgewidth=2)
plt.plot(t,y,linestyle='--',linewidth=3,color='r',markersize=8, marker='o', markerfacecolor='r', markeredgecolor='r',markeredgewidth=2)
  
#plt.semilogy(x,y) #if in future you want log plot, you would need this command

ax.tick_params(axis='both', which='major', labelsize=14)

ax.set_xticks(np.arange(0,30,5), minor=False)
ax.set_xticklabels(np.arange(0,30,5), minor=False, family='serif')
ax.set_xticks(np.arange(0,30,1), minor=True)
plt.xlim(0,24)

ax.set_yticks(np.arange(-12,12,3), minor=False)
ax.set_yticklabels(np.arange(-12,12,3), minor=False, family='serif')
ax.set_yticks(np.arange(-12,12,1), minor=True)
plt.ylim(-11,11)


plt.xlabel('$t$ (s)', fontsize=18, weight='normal')
plt.ylabel('$x,y$ (cm)',fontsize=18)
plt.title('Dopey plot, some greeks: $\\alpha,\\beta,\\gamma$',
fontsize=16, color='gray')
plt.savefig('sample_plot.pdf',format='pdf')
plt.show()
#os.system("open -a Preview sample_plot.pdf") #For OSX, this can replace "show"
quit()