--- a/other-type-of-plots/script.rst	Tue Oct 12 14:30:53 2010 +0530
+++ b/other-type-of-plots/script.rst	Tue Oct 12 16:26:36 2010 +0530
@@ -3,7 +3,7 @@
 .. * scatter 
 .. * pie chart 
 .. * bar chart 
-.. * log 
+.. * loglog
 .. * illustration of other plots, matplotlib help
 
 ===================
@@ -17,12 +17,12 @@
 {{{ show the outline slide }}}
 
 In this tutorial we will cover scatter plot, pie chart, bar chart and
-log plot. We will also see few other plots and also introduce you to
+loglog plot. We will also see few other plots and also introduce you to
 the matplotlib help.
 
 Let us start with scatter plot. 
 
-{{{ switch to the next slide }}}
+{{{ switch to the next slide, scatter plot }}}
 
 In a scatter plot, the data is displayed as a collection of points,
 each having the value of one variable determining the position on the
@@ -55,12 +55,14 @@
 {{{ close the file and switch to the terminal }}}
 
 To produce the scatter plot first we need to load the data from the
-file using ``loadtxt``. We learned in one of the previous sessions,
+file using ``loadtxt``. We learned it in one of the previous sessions,
 and it can be done as ::
 
     year,profit =
     loadtxt('/home/fossee/other-plot/company-a-data.txt',dtype=type(int()))
 
+{{{ switch to next slide, ``scatter`` function }}}
+
 Now in-order to generate the scatter graph we will use the function 
 ``scatter()`` 
 ::
@@ -75,9 +77,11 @@
 problem to be tried out }}}
 
 Now here is a question for you to try out, plot the same data with red
-diamonds. 
+diamonds markers. 
 
-**Clue** - *try scatter? in your ipython interpreter* 
+.. **Clue** - *try scatter? in your ipython interpreter* 
+
+Pause here and solve the question before moving on.
 
 .. scatter(year,profit,color='r',marker='d')
 
@@ -95,6 +99,8 @@
 the same data from file ``company-a-data.txt``. So let us reuse the
 data we have loaded from the file previously.
 
+{{{ switch to next slide, ``pie()`` function }}}
+
 We can plot the pie chart using the function ``pie()``.
 ::
 
@@ -111,7 +117,9 @@
 same data with colors for each wedges as white, red, black, magenta,
 yellow, blue, green, cyan, yellow, magenta and blue respectively.
 
-**Clue** - *try pie? in your ipython interpreter* 
+.. **Clue** - *try pie? in your ipython interpreter* 
+
+Pause here and solve the question before moving on.
 
 .. pie(t,labels=s,colors=('w','r','k','m','y','b','g','c','y','m','b'))
 
@@ -121,7 +129,7 @@
 with rectangular bars with lengths proportional to the values that
 they represent.
 
-{{{ switch to the slide showing the problem statement of third
+{{{ switch to the slide showing the problem statement of fifth
 exercise question }}}
 
 Plot a bar chart representing the profit percentage of company A, with
@@ -129,6 +137,8 @@
 
 So let us reuse the data we have loaded from the file previously.
 
+{{{ switch to the next slide, ``bar()`` function }}}
+
 We can plot the bar chart using the function ``bar()``.
 ::
 
@@ -143,13 +153,14 @@
 
 Now here is a question for you to try, plot a bar chart which is not
 filled and which is hatched with 45\ :sup:`o` slanting lines as shown
-in the image in the slide.
+in the image in the slide. The data for the chart may be obtained from
+the file ``company-a-data.txt``.
 
-**Clue** - *try bar? in your ipython interpreter* 
+.. **Clue** - *try bar? in your ipython interpreter* 
 
 .. bar(year,profit,fill=False,hatch='/')
 
-{{{ switch to the slide which says about bar chart }}}
+{{{ switch to the slide which says about log-log graph }}}
 
 Now let us move on to log-log plot. A log-log graph or log-log plot is
 a two-dimensional graph of numerical data that uses logarithmic scales
@@ -170,6 +181,8 @@
     x = linspace(1,20,100)
     y = 5*x**3
 
+{{{ switch to next slide, ``loglog()`` function }}}
+
 Now we can plot the log-log chart using ``loglog()`` function,
 ::
 
@@ -200,7 +213,7 @@
 matplotlib.sourceforge.net/users/screenshots.html and also at
 matplotlib.sourceforge.net/gallery.html
 
-{{{ switch to recap slide }}}
+{{{ switch to summary slide }}}
 
 Now we have come to the end of this tutorial. We have covered scatter
 plot, pie chart, bar chart, log-log plot and also saw few other plots

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other-type-of-plots/slides.org	Tue Oct 12 16:26:36 2010 +0530
@@ -0,0 +1,137 @@
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+#+BEAMER_FRAME_LEVEL: 1
+
+#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\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
+
+#+LaTeX_CLASS: beamer
+#+LaTeX_CLASS_OPTIONS: [presentation]
+
+#+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl}
+#+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}
+
+#+LaTeX_HEADER: \usepackage{listings}
+
+#+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries,
+#+LaTeX_HEADER:  commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},
+#+LaTeX_HEADER:  showstringspaces=false, keywordstyle=\color{blue}\bfseries}
+
+#+TITLE: Other type of plots
+#+AUTHOR:    FOSSEE
+#+EMAIL:     
+#+DATE:    
+
+#+DESCRIPTION: 
+#+KEYWORDS: 
+#+LANGUAGE:  en
+#+OPTIONS:   H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t
+#+OPTIONS:   TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc
+
+* Outline
+  - Scatter plot
+  - Pie chart
+  - Bar chart
+  - Log-log Plot
+  - ~matplotlib~ help
+* Exercise 1: Scatter plot
+  Plot a scatter plot showing the percentage profit of Company A from the year 2000
+  to 2010. The data for the same is available in the file ~company-a-data.txt~.
+* ~scatter()~ function
+  - /Syntax :/ scatter(x,y)
+    - x, a sequence of data
+    - y, a sequence of data, the same length of x
+  : In []: scatter(year, profit)
+* Exercise 2: Scatter plot
+  Plot a scatter plot of the same data in ~company-a-data.txt~ with red diamond markers.
+  : 
+  *Clue* - /try scatter? in your ipython interpreter/
+* Pie chart
+  Pie chart - a circle graph divided into sectors, illustrating proportion. 
+* Exercise 3: Pie chart
+  Plot a pie chart representing the profit percentage of company A, with the data 
+  from the file ~company-a-data.txt~.
+  : 
+  /(we can reuse the data in lists year and profit)/
+* ~pie()~ function
+  - /Syntax :/ pie(values, labels=labels)
+    - values, the data to be plotted
+    - labels, the label for each wedge in the pie chart
+  : In []: pie(profit, labels=year)
+* Exercise 4: Pie chart
+  Plot a pie chart with the same data with colors for each wedges as white, red, 
+  magenta, yellow, blue, green, cyan, yellow, magenta, and blue.
+  : 
+  *Clue* - /try pie? in your ipython interpreter/
+* Bar chart
+  Bar chart - a chart with rectangular bars with lengths proportional 
+  to the values that they represent.
+* Exercise 5: Bar chart
+  Plot a bar chart representing the profit percentage of company A, with the data 
+  from the file ~company-a-data.txt~.
+  : 
+  /(we can reuse the data in lists year and profit)/
+* ~bar()~ function
+  - /Syntax :/ bar(x, y)
+    - x, a sequence of data
+    - y, a sequence of data, the same length of x
+  : In []: bar(year, profit)
+* Exercise 6: Bar chart
+  Plot a bar chart which is not filled and which is hatched with 
+  #+begin_latex
+    $45^o$
+  #+end_latex
+  slanting lines as shown in the image. The data for the chart may be
+  obtained from the file ~company-a-data.txt~.
+  #+begin_latex
+   \begin{center}
+      \includegraphics[scale=0.3]{bar-chart-hatch}    
+    \end{center}
+  #+end_latex
+  *Clue* - /try bar? in your ipython interpreter/
+* Log-log graph
+  - Log-log graph
+    - 2-dimensional graph.
+    - uses logarithmic scales on both axes.
+    - graph appears as straight line due to non-linear scaling.
+* Exercise 7:
+  Plot a log-log chart of 
+  #+begin_latex
+    $y = 5x^3$
+  #+end_latex
+  for x from 1-20.
+* ~loglog()~ function
+  - /Syntax :/ loglog(x, y)
+    - x, a sequence of data
+    - y, a sequence of data, the same length of x
+  : In []: loglog(x, y)
+* Getting help on ~matplotlib~
+  - Help 
+    - [[matplotlib.sourceforge.net/contents.html]]
+  - More plots
+    - [[matplotlib.sourceforge.net/users/screenshots.html]]
+    - [[matplotlib.sourceforge.net/gallery.html]]
+
+* Summary
+  - Scatter plot (~scatter()~)
+  - Pie chart (~pie()~)
+  - Bar chart (~bar()~)
+  - Log-log plot (~loglog()~)
+  - ~matplotlib~ online help
+* Thank you!
+#+begin_latex
+  \begin{block}{}
+  \begin{center}
+  This spoken tutorial has been produced by the
+  \textcolor{blue}{FOSSEE} team, which is funded by the 
+  \end{center}
+  \begin{center}
+    \textcolor{blue}{National Mission on Education through \\
+      Information \& Communication Technology \\ 
+      MHRD, Govt. of India}.
+  \end{center}  
+  \end{block}
+#+end_latex
+
+

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/other-type-of-plots/slides.tex	Tue Oct 12 16:26:36 2010 +0530
@@ -0,0 +1,280 @@
+% Created 2010-10-12 Tue 16:22
+\documentclass[presentation]{beamer}
+\usepackage[latin1]{inputenc}
+\usepackage[T1]{fontenc}
+\usepackage{fixltx2e}
+\usepackage{graphicx}
+\usepackage{longtable}
+\usepackage{float}
+\usepackage{wrapfig}
+\usepackage{soul}
+\usepackage{t1enc}
+\usepackage{textcomp}
+\usepackage{marvosym}
+\usepackage{wasysym}
+\usepackage{latexsym}
+\usepackage{amssymb}
+\usepackage{hyperref}
+\tolerance=1000
+\usepackage[english]{babel} \usepackage{ae,aecompl}
+\usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}
+\usepackage{listings}
+\lstset{language=Python, basicstyle=\ttfamily\bfseries,
+commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},
+showstringspaces=false, keywordstyle=\color{blue}\bfseries}
+\providecommand{\alert}[1]{\textbf{#1}}
+
+\title{Other type of plots}
+\author{FOSSEE}
+\date{}
+
+\usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent}
+\begin{document}
+
+\maketitle
+
+
+
+
+
+
+
+
+
+\begin{frame}
+\frametitle{Outline}
+\label{sec-1}
+
+\begin{itemize}
+\item Scatter plot
+\item Pie chart
+\item Bar chart
+\item Log-log Plot
+\item \texttt{matplotlib} help
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Exercise 1: Scatter plot}
+\label{sec-2}
+
+  Plot a scatter plot showing the percentage profit of Company A from the year 2000
+  to 2010. The data for the same is available in the file \texttt{company-a-data.txt}.
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{scatter()} function}
+\label{sec-3}
+
+\begin{itemize}
+\item \emph{Syntax :} scatter(x,y)
+
+\begin{itemize}
+\item x, a sequence of data
+\item y, a sequence of data, the same length of x
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: scatter(year, profit)
+\end{verbatim}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 2: Scatter plot}
+\label{sec-4}
+
+  Plot a scatter plot of the same data in \texttt{company-a-data.txt} with red diamond markers.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \textbf{Clue} - \emph{try scatter? in your ipython interpreter}
+\end{frame}
+\begin{frame}
+\frametitle{Pie chart}
+\label{sec-5}
+
+  Pie chart - a circle graph divided into sectors, illustrating proportion. 
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 3: Pie chart}
+\label{sec-6}
+
+  Plot a pie chart representing the profit percentage of company A, with the data 
+  from the file \texttt{company-a-data.txt}.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \emph{(we can reuse the data in lists year and profit)}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{pie()} function}
+\label{sec-7}
+
+\begin{itemize}
+\item \emph{Syntax :} pie(values, labels=labels)
+
+\begin{itemize}
+\item values, the data to be plotted
+\item labels, the label for each wedge in the pie chart
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: pie(profit, labels=year)
+\end{verbatim}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 4: Pie chart}
+\label{sec-8}
+
+  Plot a pie chart with the same data with colors for each wedges as white, red, 
+  magenta, yellow, blue, green, cyan, yellow, magenta, and blue.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \textbf{Clue} - \emph{try pie? in your ipython interpreter}
+\end{frame}
+\begin{frame}
+\frametitle{Bar chart}
+\label{sec-9}
+
+  Bar chart - a chart with rectangular bars with lengths proportional 
+  to the values that they represent.
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{Exercise 5: Bar chart}
+\label{sec-10}
+
+  Plot a bar chart representing the profit percentage of company A, with the data 
+  from the file \texttt{company-a-data.txt}.
+\begin{verbatim}
+   
+\end{verbatim}
+
+  \emph{(we can reuse the data in lists year and profit)}
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{bar()} function}
+\label{sec-11}
+
+\begin{itemize}
+\item \emph{Syntax :} bar(x, y)
+
+\begin{itemize}
+\item x, a sequence of data
+\item y, a sequence of data, the same length of x
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: bar(year, profit)
+\end{verbatim}
+\end{frame}
+\begin{frame}
+\frametitle{Exercise 6: Bar chart}
+\label{sec-12}
+
+  Plot a bar chart which is not filled and which is hatched with 
+    $45^o$
+  slanting lines as shown in the image. The data for the chart may be
+  obtained from the file \texttt{company-a-data.txt}.
+   \begin{center}
+      \includegraphics[scale=0.3]{bar-chart-hatch}    
+    \end{center}
+  \textbf{Clue} - \emph{try bar? in your ipython interpreter}
+\end{frame}
+\begin{frame}
+\frametitle{Log-log graph}
+\label{sec-13}
+
+\begin{itemize}
+\item Log-log graph
+
+\begin{itemize}
+\item 2-dimensional graph.
+\item uses logarithmic scales on both axes.
+\item graph appears as straight line due to non-linear scaling.
+\end{itemize}
+
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Exercise 7:}
+\label{sec-14}
+
+  Plot a log-log chart of 
+    $y = 5x^3$
+  for x from 1-20.
+\end{frame}
+\begin{frame}[fragile]
+\frametitle{\texttt{loglog()} function}
+\label{sec-15}
+
+\begin{itemize}
+\item \emph{Syntax :} loglog(x, y)
+
+\begin{itemize}
+\item x, a sequence of data
+\item y, a sequence of data, the same length of x
+\end{itemize}
+
+\end{itemize}
+
+\begin{verbatim}
+   In []: loglog(x, y)
+\end{verbatim}
+\end{frame}
+\begin{frame}
+\frametitle{Getting help on \texttt{matplotlib}}
+\label{sec-16}
+
+\begin{itemize}
+\item Help
+
+\begin{itemize}
+\item \hyperref[sec-16]{matplotlib.sourceforge.net/contents.html}
+\end{itemize}
+
+\item More plots
+
+\begin{itemize}
+\item \hyperref[sec-16]{matplotlib.sourceforge.net/users/screenshots.html}
+\item \hyperref[sec-16]{matplotlib.sourceforge.net/gallery.html}
+\end{itemize}
+
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Summary}
+\label{sec-17}
+
+\begin{itemize}
+\item Scatter plot (\texttt{scatter()})
+\item Pie chart (\texttt{pie()})
+\item Bar chart (\texttt{bar()})
+\item Log-log plot (\texttt{loglog()})
+\item \texttt{matplotlib} online help
+\end{itemize}
+\end{frame}
+\begin{frame}
+\frametitle{Thank you!}
+\label{sec-18}
+
+  \begin{block}{}
+  \begin{center}
+  This spoken tutorial has been produced by the
+  \textcolor{blue}{FOSSEE} team, which is funded by the 
+  \end{center}
+  \begin{center}
+    \textcolor{blue}{National Mission on Education through \\
+      Information \& Communication Technology \\ 
+      MHRD, Govt. of India}.
+  \end{center}  
+  \end{block}
+\end{frame}
+
+\end{document}