--- a/plotting-data/questions.rst Sun Nov 07 18:36:59 2010 +0530
+++ b/plotting-data/questions.rst Sun Nov 07 19:47:26 2010 +0530
@@ -23,10 +23,16 @@
By passing an extra parameter '.'.
+.. #[[Anoop: It can better if asked as, How do you plot the data as
+ points using plot function?]]
+
4. What does the parameter 'o' do ?
It plots large points.
+.. #[[Anoop: give an example and ask what it does, like plot(x, y,
+ 'o'), that makes the question simple]]
+
5. How do you plot error in Python?
Using the function error bar.
--- 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 :