In [6]:

    

import numpy as np
import matplotlib.pyplot as plt
%matplotlib
tp = [('date','i8'),('value','f8')]
yahoo_data = np.loadtxt('yahoo_data.txt',dtype=tp, skiprows=1)
google_data = np.loadtxt('google_data.txt',dtype=tp, skiprows=1)
ny_data = np.loadtxt('ny_temps.txt',dtype=tp, skiprows=1)
f0, ax0 = plt.subplots()
ax2 = ax0.twinx()
yahoo_line = ax0.plot(yahoo_data['date'], yahoo_data['value'], color = 'm', label = 'Yahoo! Stock Value',linewidth = 1.5)
google_line = ax0.plot(google_data['date'], google_data['value'], color = 'b', label = 'Google Stock Value', linewidth = 1.5)
ny_line = ax2.plot(ny_data['date'], ny_data['value'], color = 'r', label = 'NY Mon. High Temp', linestyle = '--', linewidth = 1.5)
lines = yahoo_line+google_line+ny_line
labels = [l.get_label() for l in lines]
ax0.legend(lines,labels, 'center left',fontsize = 'medium', frameon = False)
ax0.set_ylim(-20,780)
ax0.set_xlim(48800,55600)
ax0.set_ylabel('Value (Dollars)', fontsize = 'large')
ax0.set_xlabel('Date (MJD)', fontsize = 'large')
ax0.set_title('New York Temperature, Google, and Yahoo!', fontsize ='x-large')
ax2.set_ylim(-150,100)
ax2.set_ylabel('Temperature ($^\circ$F)', fontsize = 'large')


    

    




Using matplotlib backend: MacOSX

In [49]:

    

ax0.plot?


    

In [59]:

    

plt.close('all')


    

In [52]:

    

ax0.set_xlabel?


    

In [33]:

    

[yahoo_line,google_line]


    

    
Out[33]:





[[<matplotlib.lines.Line2D at 0x109fbe4d0>],
 [<matplotlib.lines.Line2D at 0x109fde990>]]

In [34]:

    

yahoo_line


    

    
Out[34]:





[<matplotlib.lines.Line2D at 0x109fbe4d0>]

In [35]:

    

a, = yahoo_line
print a


    

    




Line2D(Yahoo! Stock Value)

In [36]:

    

a


    

    
Out[36]:





<matplotlib.lines.Line2D at 0x109fbe4d0>

In [ ]: