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