plotting-data/script.rst
changeset 399 3c16961361cd
parent 372 8e05616c4102
child 416 06ac45f4de88
--- a/plotting-data/script.rst	Sun Nov 07 18:36:59 2010 +0530
+++ b/plotting-data/script.rst	Sun Nov 07 19:47:26 2010 +0530
@@ -16,38 +16,50 @@
 
      
 .. 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.
 
-One needs   to  be  fimiliar  with  the   concepts  of  plotting
+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. 
 
+.. #[[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 
@@ -59,14 +71,20 @@
 comma  seperated values inside two square brackets.  This is also  called List 
 so to create two sequences
 
-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]]
+
+L,t type in ipython shell.
+
+.. #[[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]
 
-
-  
+ 
 To obtain the  square of sequence t we will  use the function square
 with argument t.This is saved into the variable tsquare.::
 
@@ -75,10 +93,14 @@
    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,.)
+  In []: plot(L,t,'.')
+
+.. #[[Anoop: be consistent with the spacing and all.]]
 
 '.' here represents to plot use small dots for the point. ::
 
@@ -86,17 +108,26 @@
 
 You can also specify 'o' for big dots.::
  
-  In []: plot(L,t,o)
+  In []: plot(L,t,'o')
 
   In []: clf()
 
 
+.. #[[Anoop: Make sure code is correct, corrected plot(L,t,o) to
+   plot(L,t,'o')]]
+
 {{{ Slide with Error data included }}}
 
+.. #[[Anoop: again slides are incomplete.]]
 
 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 sequence values in the same manner as we did for L and t
+
+.. #[[Anoop: give introduction to error and say what we are going to
+   do]]
+
+::
 
   In []: delta_L= [0.08,0.09,0.07,0.05,0.06,0.00,0.06,0.06,0.01]
   
@@ -111,10 +142,12 @@
     
     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. 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()
@@ -143,7 +176,7 @@
 
  {{{ Show the "sponsored by FOSSEE" slide }}}
 
-
+.. #[[Anoop: again slides are incomplete]]
 
 This tutorial was created as a part of FOSSEE project.
 
@@ -151,8 +184,3 @@
 
  Thankyou
 
- 
-
-Author              : Amit Sethi
-Internal Reviewer   :
-Internal Reviewer 2 :