--- a/plotting-data/script.rst Tue Nov 09 12:42:40 2010 +0530
+++ b/plotting-data/script.rst Tue Nov 09 15:10:13 2010 +0530
@@ -44,13 +44,14 @@
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.
+
+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
@@ -67,29 +68,28 @@
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.
.. #[[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]]
-::
+{{{ Show the initializing L&T slide }}}
+
+Type in ipython shell ::
- In []: L = [0.1, 0.2, 0.3, 0.4, 0.5,0.6, 0.7, 0.8, 0.9]
+ 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]
+ 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])
@@ -98,49 +98,51 @@
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()
.. #[[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
+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]]
::
- 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]
-
-
+ 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
@@ -150,18 +152,18 @@
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?
-{{{ Summary Slides }}}
+{{{ Show Summary Slide }}}
In this tutorial we have learnt :
@@ -182,5 +184,5 @@
Hope you have enjoyed and found it useful.
- Thankyou
+Thank You!