--- a/plotting-data/script.rst Mon Nov 08 02:12:28 2010 +0530
+++ b/plotting-data/script.rst Thu Nov 11 02:28:55 2010 +0530
@@ -16,38 +16,51 @@
.. Author : Amit
- Internal Reviewer :
+ 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 slide containing title }}}
+{{{ Show the Outline Slide }}}
-
-{{{ 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 fimiliar with elementwise squaring of such a
+2. We will also become familiar with elementwise squaring of such a
sequence.
-3. We will also see how we can use our graph to indicate Error.
+3. How to plot data points using python.
-One needs to be fimiliar with the concepts of plotting
+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 our
-points.
+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
@@ -55,104 +68,151 @@
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
+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.
-L,t type in ipython shell. ::
+.. #[[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]]
- 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]
+{{{ 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
+
+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)
-
+ 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 ::
- In []: plot(L,t,.)
+ plot(L,tsquare,'.')
+
+.. #[[Anoop: be consistent with the spacing and all.]]
'.' here represents to plot use small dots for the point. ::
- In []: clf()
+ clf()
You can also specify 'o' for big dots.::
- In []: plot(L,t,o)
+ plot(L,tsquare,'o')
- In []: clf()
+ clf()
-{{{ Slide with Error data included }}}
+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.
+
+
+
-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 ::
+.. #[[Anoop: Make sure code is correct, corrected plot(L,t,o) to
+ plot(L,t,'o')]]
- 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]
+.. #[[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. ::
- In []: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T, fmt='b.')
+ 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.
+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
+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')
+ 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.::
- In []: 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.
+
+
+
+
+
-{{{ Summary Slides }}}
+{{{ Show Summary Slide }}}
-In this tutorial we have learnt :
+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.
+1. How to declare a sequence of numbers.
+
+2. Plotting experimental data.
-3. The various options available for plotting dots instead of lines.
+#. 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.
+#. 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.
- Thankyou
-
-
+Thank You!
-Author : Amit Sethi
-Internal Reviewer :
-Internal Reviewer 2 :