--- a/plotting-data/plotting-data.rst Thu Oct 28 13:19:28 2010 +0530
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,136 +0,0 @@
-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 :
--- a/plotting-data/questions.rst Thu Oct 28 13:19:28 2010 +0530
+++ b/plotting-data/questions.rst Thu Oct 28 15:14:40 2010 +0530
@@ -52,5 +52,14 @@
.. A minimum of 2 questions here (along with answers)
-1. Question 1
-2. Question 2
+1. Plot an errorbar for following experimental data.
+
+ | X | Y | Xerr | Yerr |
+ | 154.9 | 8106 | 8.51 | 165.8 |
+ | 154.3 | 8138 | 8.50 | 166.3 |
+ | 148.7 | 8148 | 7.78 | 161.2 |
+ | 149.6 | 8171 | 7.81 | 162.6 |
+
+in red colour with large dots
+
+2. List the parameters for errorbar and their function?
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/script.rst Thu Oct 28 15:14:40 2010 +0530
@@ -0,0 +1,158 @@
+.. Objectives
+.. ----------
+
+.. By the end of this tutorial, you will be able to
+
+.. 1. Defining a list of numbers
+.. 2. Squaring a list of numbers
+.. 3. Plotting data points.
+.. 4. Plotting errorbars.
+
+
+.. Prerequisites
+.. -------------
+
+.. 1. getting started with plotting
+
+
+.. Author : Amit
+ Internal Reviewer :
+ External Reviewer :
+ Checklist OK? : <put date stamp here, if OK> [2010-10-05]
+
+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 :
--- a/plotting-data/slides.org Thu Oct 28 13:19:28 2010 +0530
+++ b/plotting-data/slides.org Thu Oct 28 15:14:40 2010 +0530
@@ -58,7 +58,7 @@
: In[]: plot(L,t,o)
-* Adding an Error Column
+* Adding Error
| L | T | /Delta L | /Delta T |
@@ -75,10 +75,7 @@
* 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]
+ : In[]: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T,
+ : fmt='b.')
-
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/plotting-data/slides.tex Thu Oct 28 15:14:40 2010 +0530
@@ -0,0 +1,152 @@
+% Created 2010-10-28 Thu 15:05
+\documentclass[presentation]{beamer}
+\usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\setbeamercovered{transparent}
+\usepackage[latin1]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage{graphicx}
+\usepackage{longtable}
+\usepackage{float}
+\usepackage{wrapfig}
+\usepackage{soul}
+\usepackage{amssymb}
+\usepackage{hyperref}
+
+
+\title{Plotting Experimental Data}
+\author{FOSSEE}
+\date{2010-09-14 Tue}
+
+\begin{document}
+
+\maketitle
+
+
+
+
+
+
+\begin{frame}
+\frametitle{Tutorial Plan}
+\label{sec-1}
+\begin{itemize}
+
+\item Plotting Experiment Data and Error Bars\\
+\label{sec-1.1}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{Pre-requisites}
+\label{sec-2}
+\begin{itemize}
+
+\item Plotting simple analytical Functions\\
+\label{sec-2.1}%
+\end{itemize} % ends low level
+\end{frame}
+\begin{frame}
+\frametitle{plot L vs. T$^2$}
+\label{sec-3}
+
+
+
+
+\begin{center}
+\begin{tabular}{rr}
+ 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 \\
+\end{tabular}
+\end{center}
+
+
+
+
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Initializing L \& T}
+\label{sec-4}
+
+\begin{verbatim}
+ 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]
+\end{verbatim}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{square()}
+\label{sec-5}
+
+\begin{verbatim}
+ In []: tsquare=square(t)
+\end{verbatim}
+
+
+\begin{verbatim}
+ array([ 0.4761, 0.81 , 1.4161, 1.69 , 2.1609, 2.4964, 3.1329,
+ 3.3489, 3.7636])
+\end{verbatim}
+
+
+
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Plotting}
+\label{sec-6}
+
+\begin{verbatim}
+ In[]: plot(L,t,.)
+\end{verbatim}
+
+
+
+\begin{verbatim}
+ In[]: plot(L,t,o)
+\end{verbatim}
+\end{frame}
+\begin{frame}
+\frametitle{Adding Error}
+\label{sec-7}
+
+
+
+
+\begin{center}
+\begin{tabular}{rrrr}
+ 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 \\
+\end{tabular}
+\end{center}
+
+
+
+
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Plotting Error bar}
+\label{sec-8}
+
+
+\begin{verbatim}
+ In[]: errorbar(L,tsquare,xerr=delta_L, yerr=delta_T,
+ fmt='b.')
+\end{verbatim}
+\end{frame}
+
+\end{document}