In [2]:

    

def readlinebyline( filename ) :
    '''This function takes in a textfile, and reads line by line
    and prints to stdout.'''
    f = open(filename,'r')
    for line in f :
        print line
    f.close()


    

In [6]:

    

from print_line_by_line import readlinebyline


    

In [12]:

    

# The glob object 
from glob import glob


    

In [18]:

    

glob('data*.txt')


    

    
Out[18]:





['data1.txt', 'data2.txt']

In [1]:

    

import print_line_by_line as pll


    

In [2]:

    

reload(pll)
pll.printtonewtext('data1.txt')


    

In [3]:

    

import numpy as np


    

In [4]:

    

arr1 = np.loadtxt('data1.txt')


    

In [39]:

    

# Transpose is an attribute of the numpy array object
arr1.T


    

    
Out[39]:





array([[   1.,    2.,    3.,    4.,    5.,    6.,    7.,    8.,    9.,
          10.],
       [   4.,    9.,   16.,   25.,   36.,   49.,   64.,   81.,  100.,
         121.]])

In [7]:

    

data1 = pll.readasnumpy('data1.txt')


    

In [46]:

    

# numpy has methods that take in numpy arrays as arguments
np.sum(data1)
np.diff(data1)


    

    
Out[46]:





array([[  1.,   1.,   1.,   1.,   1.,   1.,   1.,   1.,   1.],
       [  5.,   7.,   9.,  11.,  13.,  15.,  17.,  19.,  21.]])

In [5]:

    

import pylab as plb
%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib

In [9]:

    

plb.plot(data1[0], data1[1],c='r',ls=':')


    

    
Out[9]:





[<matplotlib.lines.Line2D at 0x105df7bd0>]






    

In [14]:

    

# Can save the figure under many different extensions: pdf, eps, png
plb.savefig('fig1.pdf')


    

    






<matplotlib.figure.Figure at 0x105db8790>

In [18]:

    

import plot_my_data as pmd


    

In [19]:

    

# Links to this notebook and the modules it imports
# are in the etherpad
pmd.plot_in_line(data1,figname='myfigipynotebook')


    

In [20]:

    

ls


    

    




Functions Modules and Libraries.ipynb  generate_data.sh~
LICENSE                                myfigipynotebook.png
Python Introduction.ipynb              plot_my_data.py
README.md                              plot_my_data.pyc
data1.txt                              plot_my_data.py~
data2.txt                              print_line_by_line.py
data3.txt                              print_line_by_line.pyc
fig1.eps                               print_line_by_line.py~
fig1.pdf                               simple_for_loop.sh*
fig1.png                               simple_for_loop.sh~*
generate_data.sh

In [21]:

    

__name__


    

    
Out[21]:





'__main__'

In [22]:

    

reload(pmd)


    

    




plot_my_data






    
Out[22]:





<module 'plot_my_data' from 'plot_my_data.py'>

In [23]:

    

reload(pmd)


    

    
Out[23]:





<module 'plot_my_data' from 'plot_my_data.py'>

In [24]:

    

reload(pmd)


    

    




plot_my_data






    
Out[24]:





<module 'plot_my_data' from 'plot_my_data.py'>

In [ ]: