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-Plotting   Experimental  Data  
-=============================   
-Hello  and welcome , this tutorial on  Plotting Experimental data is 
-presented by the fossee  team.  
-
-{{{ Show the slide containing title }}}
-
-
-{{{ Show the Outline Slide }}}
-
-Here  we will discuss plotting  Experimental data. 
-
-1.We will see how we can represent a sequence of numbers in Python. 
-
-2.We will also become fimiliar with  elementwise squaring of such a
-sequence. 
-
-3. We will also see how we can use our graph to indicate Error.
-
-One needs   to  be  fimiliar  with  the   concepts  of  plotting
-mathematical functions in Python.
-
-We will use  data from a Simple Pendulum  Experiment to illustrate our
-points. 
-
-{{{ Simple Pendulum data Slide }}} 
-
-  
-  
-  
-As we know for a simple pendulum length,L is directly  proportional to 
-the square of time,T. We shall be plotting L and T^2 values.
-
-
-First  we will have  to initiate L and  T values. We initiate them as sequence 
-of values.  To tell ipython a sequence of values we  write the sequence in 
-comma  seperated values inside two square brackets.  This is also  called List 
-so to create two sequences
-
-L,t type in ipython shell. ::
-
-    In []: L = [0.1, 0.2, 0.3, 0.4, 0.5,0.6, 0.7, 0.8, 0.9]
-    
-    In []: t= [0.69, 0.90, 1.19,1.30, 1.47, 1.58, 1.77, 1.83, 1.94]
-
-
-  
-To obtain the  square of sequence t we will  use the function square
-with argument t.This is saved into the variable tsquare.::
-
-   In []: tsquare=square(t)
-  
-   array([  0.4761, 0.81 , 1.4161,  1.69 , 2.1609,  2.4964, 3.1329, 
-   3.3489, 3.7636])
-
-  
-Now to plot L vs T^2 we will simply type ::
-
-  In []: plot(L,t,.)
-
-'.' here represents to plot use small dots for the point. ::
-
-  In []: clf()
-
-You can also specify 'o' for big dots.::
- 
-  In []: plot(L,t,o)
-
-  In []: clf()
-
-
-{{{ Slide with Error data included }}}
-
-
-Now we  shall try  and take into  account error  into our plots . The
-Error values for L and T  are on your screen.We shall again intialize
-the sequence values in the same manner as we did for L and t ::
-
-  In []: delta_L= [0.08,0.09,0.07,0.05,0.06,0.00,0.06,0.06,0.01]
-  
-  In []: delta_T= [0.04,0.08,0.11,0.05,0.03,0.03,0.01,0.07,0.01]
-
-
-  
-Now to plot L vs T^2 with an error bar we use the function errorbar()
-
-The syntax of the command is as given on the screen. ::
-
-    
-    In []: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T, fmt='b.')
-
-This gives a  plot with error bar for  x and y axis. The  dots are of
-blue color.
-
-
-similarly we can draw the same error bar with big red dots just change 
-the parameters to fmt to 'ro'. ::
-
-    In []: clf()
-    In []: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T, fmt='ro')
-
-
-
-thats it. you can explore other options to errorbar using the documentation 
-of errorbar.::
-
-   In []: errorbar?
-
-
-{{{ Summary Slides }}}
-
-In this tutorial we have learnt : 
-
-1. How to declare a sequence of number , specifically the kind of sequence we learned was a list.
-
-2. Plotting experimental data extending our knowledge from mathematical functions. 
-
-3. The various options available for plotting dots instead of lines.
-
-4. Plotting experimental data such that we can also represent error. We did this using the errorbar() function.
-
-
- {{{ Show the "sponsored by FOSSEE" slide }}}
-
-
-
-This tutorial was created as a part of FOSSEE project.
-
-Hope you have enjoyed and found it useful.
-
- Thankyou
-
- 
-
-Author              : Amit Sethi
-Internal Reviewer   :
-Internal Reviewer 2 :