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+++ b/plotting_data/script.rst Wed Dec 01 16:51:35 2010 +0530
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+.. Objectives
+.. ----------
+
+.. By the end of this tutorial, you will be able to
+
+.. 1. Defining a list of numbers
+.. 2. Squaring a list of numbers
+.. 3. Plotting data points.
+.. 4. Plotting errorbars.
+
+
+.. Prerequisites
+.. -------------
+
+.. 1. getting started with plotting
+
+
+.. Author : Amit
+ Internal Reviewer : Anoop Jacob Thomas<anoop@fossee.in>
+ External Reviewer :
+ Checklist OK? : <put date stamp here, if OK> [2010-10-05]
+
+.. #[[Anoop: Add quickref]]
+.. #[[Anoop: Slides are incomplete, add summary slide, thank you slide
+ etc.]]
+
+===============================
+Plotting Experimental Data
+===============================
+
+{{{ Show the slide containing title }}}
+
+Hello and welcome , this tutorial on Plotting Experimental data is
+presented by the fossee team.
+
+{{{ Show the Outline Slide }}}
+
+.. #[[Anoop: outline slide is missing]]
+
+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 familiar with elementwise squaring of such a
+sequence.
+
+3. How to plot data points using python.
+
+4. We will also see how we can use our graph to indicate Error.
+
+One needs to be familiar with the concepts of plotting
+mathematical functions in Python.
+
+We will use data from a Simple Pendulum Experiment to illustrate.
+
+.. #[[Anoop: what do you mean by points here? if you mean the
+ points/numbered list in outline slide, then remove the usage point
+ from here.]]
+
+{{{ Simple Pendulum data Slide }}}
+
+.. #[[Anoop: slides are incomplete, work on slides and context
+ switches]]
+
+
+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. We define a sequence by comma seperated values inside two square brackets.
+This is also called List.Lets create two sequences L and t.
+
+.. #[[Anoop: instead of saying "to tell ipython a sequence of values"
+ and make it complicated, we can tell, we define a sequence as]]
+
+.. #[[Anoop: sentence is incomplete, can be removed]]
+
+{{{ Show the initializing L&T slide }}}
+
+Type in ipython shell ::
+
+ L = [0.1, 0.2, 0.3, 0.4, 0.5,0.6, 0.7, 0.8, 0.9]
+
+ 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.::
+
+ tsquare=square(t)
+ tsqaure
+ array([ 0.4761, 0.81 , 1.4161, 1.69 , 2.1609, 2.4964, 3.1329,
+ 3.3489, 3.7636])
+
+.. #[[Anoop: how do you get the array([ 0.4761 ....]) output?]]
+
+
+Now to plot L vs T^2 we will simply type ::
+
+ plot(L,tsquare,'.')
+
+.. #[[Anoop: be consistent with the spacing and all.]]
+
+'.' here represents to plot use small dots for the point. ::
+
+ clf()
+
+You can also specify 'o' for big dots.::
+
+ plot(L,tsquare,'o')
+
+ clf()
+
+
+Following are exercises that you must do.
+
+%% %% Plot the given experimental data with large dots.The data is
+on your screen.
+
+%% %% Plot the given experimental data with small dots.
+The data is on your screen
+
+
+Please, pause the video here. Do the exercises and then continue.
+
+
+
+
+
+.. #[[Anoop: Make sure code is correct, corrected plot(L,t,o) to
+ plot(L,t,'o')]]
+
+
+
+.. #[[Anoop: again slides are incomplete.]]
+
+For any experimental there is always an error in measurements due to
+instrumental and human constaraints.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
+
+The error data we will use is on your screen.
+
+{{{ Show the Adding Error Slide }}}
+.. #[[Anoop: give introduction to error and say what we are going to
+ do]]
+
+::
+
+ delta_L= [0.08,0.09,0.07,0.05,0.06,0.00,0.06,0.06,0.01]
+ delta_T= [0.04,0.08,0.03,0.05,0.03,0.03,0.04,0.07,0.08]
+
+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. ::
+
+
+ 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. The parameters xerr and yerr are error on x and y axis and
+fmt is the format of the plot.
+
+
+similarly we can draw the same error bar with big red dots just change
+the parameters to fmt to 'ro'. ::
+
+ clf()
+ 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.::
+
+ errorbar?
+
+Following is an exercise that you must do.
+
+%% %% Plot the given experimental data with large green dots.Also include
+the error in your plot.
+
+Please, pause the video here. Do the exercise and then continue.
+
+
+
+
+
+
+
+{{{ Show Summary Slide }}}
+
+In this tutorial we have learnt :
+
+
+
+1. How to declare a sequence of numbers.
+
+2. Plotting experimental data.
+
+#. The various options available for plotting dots instead of lines.
+
+#. Plotting experimental data such that we can also represent error.
+
+
+
+ {{{ Show the "sponsored by FOSSEE" slide }}}
+
+.. #[[Anoop: again slides are incomplete]]
+
+This tutorial was created as a part of FOSSEE project.
+
+Hope you have enjoyed and found it useful.
+
+Thank You!
+