--- a/plotting-data/script.rst Wed Nov 17 23:24:57 2010 +0530
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,218 +0,0 @@
-.. 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!
-