--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/getting-started-with-lists/slides.org Wed Oct 13 17:28:04 2010 +0530
@@ -0,0 +1,35 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\setbeamercovered{transparent}
+#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra)
+#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC
+#+OPTIONS: H:5 num:t toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+
+#+TITLE: Plotting Data
+#+AUTHOR: FOSSEE
+#+DATE: 2010-09-14 Tue
+#+EMAIL: info@fossee.in
+
+# \author[FOSSEE] {FOSSEE}
+
+# \institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+# \date{}
+
+* Tutorial Plan
+** How to create lists
+** Structure of lists
+** Access list elements
+** Append elements to lists
+** Deleting elements from lists
+
+
+* Summary
+
+ l=[1,2,3,4]
+ l[-1]
+ l.append(5)
+ del(l[2])
+ len(l)
+
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/plotting-data.rst Wed Oct 13 17:28:04 2010 +0530
@@ -0,0 +1,136 @@
+Plotting Experimental Data
+=============================
+Hello and welcome , this tutorial on Plotting Experimental data is
+presented by the fossee team.
+
+{{{ Show the slide containing title }}}
+
+
+{{{ Show the Outline Slide }}}
+
+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
+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
+mathematical functions in Python.
+
+We will use data from a Simple Pendulum Experiment to illustrate our
+points.
+
+{{{ Simple Pendulum data Slide }}}
+
+
+
+
+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. 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
+
+L,t type in ipython shell. ::
+
+ 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.::
+
+ In []: tsquare=square(t)
+
+ array([ 0.4761, 0.81 , 1.4161, 1.69 , 2.1609, 2.4964, 3.1329,
+ 3.3489, 3.7636])
+
+
+Now to plot L vs T^2 we will simply type ::
+
+ In []: plot(L,t,.)
+
+'.' here represents to plot use small dots for the point. ::
+
+ In []: clf()
+
+You can also specify 'o' for big dots.::
+
+ In []: plot(L,t,o)
+
+ In []: clf()
+
+
+{{{ Slide with Error data included }}}
+
+
+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 ::
+
+ 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]
+
+
+
+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.')
+
+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'. ::
+
+ In []: clf()
+ In []: 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?
+
+
+{{{ Summary Slides }}}
+
+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.
+
+3. 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.
+
+
+ {{{ Show the "sponsored by FOSSEE" slide }}}
+
+
+
+This tutorial was created as a part of FOSSEE project.
+
+Hope you have enjoyed and found it useful.
+
+ Thankyou
+
+
+
+Author : Amit Sethi
+Internal Reviewer :
+Internal Reviewer 2 :
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/questions.rst Wed Oct 13 17:28:04 2010 +0530
@@ -0,0 +1,56 @@
+Objective Questions
+-------------------
+
+.. A mininum of 8 questions here (along with answers)
+
+1. How do you declare a sequence of numbers in python?
+ Give example .
+
+ Comma seperated numbers inside two square brackets.
+
+ seq=[1.5,3.2,8.7]
+
+
+2. Square the following sequence?
+
+ distance_values=[2.1,4.6,8.72,9.03].
+
+ square(distance_values)
+
+
+
+3. How do you plot points ?
+
+ By passing an extra parameter '.'.
+
+4. What does the parameter 'o' do ?
+
+ It plots large points.
+
+5. How do you plot error in Python?
+
+ Using the function error bar.
+
+6. How do I get large red colour dots on a plot?
+
+ By passing the paramter 'ro'.
+
+7. What are the parameters 'xerr' and 'yerr' in errorbar function for?
+
+ xerr - List of error values of variable on x axis.
+ yerr - List of error values of variable on y ayis.
+
+8. How would you plot error bar with a line?
+
+ The fmt parameter for a line will be '-'.
+
+
+
+
+Larger Questions
+----------------
+
+.. A minimum of 2 questions here (along with answers)
+
+1. Question 1
+2. Question 2
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/slides.org Wed Oct 13 17:28:04 2010 +0530
@@ -0,0 +1,84 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\setbeamercovered{transparent}
+#+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra)
+#+PROPERTY: BEAMER_col_ALL 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 :ETC
+#+OPTIONS: H:5 num:t toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+
+#+TITLE: Plotting Experimental Data
+#+AUTHOR: FOSSEE
+#+DATE: 2010-09-14 Tue
+#+EMAIL: info@fossee.in
+
+# \author[FOSSEE] {FOSSEE}
+
+# \institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
+# \date{}
+
+* Tutorial Plan
+** Plotting Experiment Data and Error Bars
+* Pre-requisites
+** Plotting simple analytical Functions
+* plot L vs. T^2
+
+#+ORGTBL: L vs T^2 orgtbl-to-latex
+
+ | L | T |
+ | 0.1 | 0.69 |
+ | 0.2 | 0.90 |
+ | 0.3 | 1.19 |
+ | 0.4 | 1.30 |
+ | 0.5 | 1.47 |
+ | 0.6 | 1.58 |
+ | 0.7 | 1.77 |
+ | 0.8 | 1.83 |
+ | 0.9 | 1.94 |
+
+
+
+
+* Initializing L & T
+ : 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]
+* square()
+ : In []: tsquare=square(t)
+
+ : array([ 0.4761, 0.81 , 1.4161, 1.69 , 2.1609, 2.4964, 3.1329,
+ : 3.3489, 3.7636])
+
+
+* Plotting
+ : In[]: plot(L,t,.)
+
+
+ : In[]: plot(L,t,o)
+
+* Adding an Error Column
+
+
+ | L | T | /Delta L | /Delta T |
+ | 0.1 | 0.69 | 0.08 | 0.04 |
+ | 0.2 | 0.90 | 0.09 | 0.08 |
+ | 0.3 | 1.19 | 0.07 | 0.11 |
+ | 0.4 | 1.30 | 0.05 | 0.05 |
+ | 0.5 | 1.47 | 0.06 | 0.03 |
+ | 0.6 | 1.58 | 0.00 | 0.03 |
+ | 0.7 | 1.77 | 0.06 | 0.01 |
+ | 0.8 | 1.83 | 0.06 | 0.07 |
+ | 0.9 | 1.94 | 0.01 | 0.01 |
+
+
+* Plotting Error bar
+
+ : In[]: delta_L= [0.08,0.09,0.07,0.05,0.16,
+ : 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]
+
+
+