1 #+LaTeX_CLASS: beamer

     2 #+LaTeX_CLASS_OPTIONS: [presentation]

     3 #+BEAMER_FRAME_LEVEL: 1

     4 

     5 #+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent}

     6 #+COLUMNS: %45ITEM %10BEAMER_env(Env) %10BEAMER_envargs(Env Args) %4BEAMER_col(Col) %8BEAMER_extra(Extra)

     7 #+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

     8 

     9 #+LaTeX_CLASS: beamer

    10 #+LaTeX_CLASS_OPTIONS: [presentation]

    11 

    12 #+LaTeX_HEADER: \usepackage[english]{babel} \usepackage{ae,aecompl}

    13 #+LaTeX_HEADER: \usepackage{mathpazo,courier,euler} \usepackage[scaled=.95]{helvet}

    14 

    15 #+LaTeX_HEADER: \usepackage{listings}

    16 

    17 #+LaTeX_HEADER:\lstset{language=Python, basicstyle=\ttfamily\bfseries,

    18 #+LaTeX_HEADER:  commentstyle=\color{red}\itshape, stringstyle=\color{darkgreen},

    19 #+LaTeX_HEADER:  showstringspaces=false, keywordstyle=\color{blue}\bfseries}

    20 

    21 #+TITLE: Other type of plots

    22 #+AUTHOR:    FOSSEE

    23 #+EMAIL:     

    24 #+DATE:    

    25 

    26 #+DESCRIPTION: 

    27 #+KEYWORDS: 

    28 #+LANGUAGE:  en

    29 #+OPTIONS:   H:3 num:nil toc:nil \n:nil @:t ::t |:t ^:t -:t f:t *:t <:t

    30 #+OPTIONS:   TeX:t LaTeX:nil skip:nil d:nil todo:nil pri:nil tags:not-in-toc

    31 

    32 * Outline

    33   - Scatter plot

    34   - Pie chart

    35   - Bar chart

    36   - Log-log Plot

    37   - ~matplotlib~ help

    38 * Exercise 1: Scatter plot

    39   Plot a scatter plot showing the percentage profit of Company A from the year 2000

    40   to 2010. The data for the same is available in the file ~company-a-data.txt~.

    41 * ~scatter()~ function

    42   - /Syntax :/ scatter(x,y)

    43     - x, a sequence of data

    44     - y, a sequence of data, the same length of x

    45   : In []: scatter(year, profit)

    46 * Exercise 2: Scatter plot

    47   Plot a scatter plot of the same data in ~company-a-data.txt~ with red diamond markers.

    48   : 

    49   *Clue* - /try scatter? in your ipython interpreter/

    50 * Pie chart

    51   Pie chart - a circle graph divided into sectors, illustrating proportion. 

    52 * Exercise 3: Pie chart

    53   Plot a pie chart representing the profit percentage of company A, with the data 

    54   from the file ~company-a-data.txt~.

    55   : 

    56   /(we can reuse the data in lists year and profit)/

    57 * ~pie()~ function

    58   - /Syntax :/ pie(values, labels=labels)

    59     - values, the data to be plotted

    60     - labels, the label for each wedge in the pie chart

    61   : In []: pie(profit, labels=year)

    62 * Exercise 4: Pie chart

    63   Plot a pie chart with the same data with colors for each wedges as white, red, 

    64   magenta, yellow, blue, green, cyan, yellow, magenta, and blue.

    65   : 

    66   *Clue* - /try pie? in your ipython interpreter/

    67 * Bar chart

    68   Bar chart - a chart with rectangular bars with lengths proportional 

    69   to the values that they represent.

    70 * Exercise 5: Bar chart

    71   Plot a bar chart representing the profit percentage of company A, with the data 

    72   from the file ~company-a-data.txt~.

    73   : 

    74   /(we can reuse the data in lists year and profit)/

    75 * ~bar()~ function

    76   - /Syntax :/ bar(x, y)

    77     - x, a sequence of data

    78     - y, a sequence of data, the same length of x

    79   : In []: bar(year, profit)

    80 * Exercise 6: Bar chart

    81   Plot a bar chart which is not filled and which is hatched with 

    82   #+begin_latex

    83     $45^o$

    84   #+end_latex

    85   slanting lines as shown in the image. The data for the chart may be

    86   obtained from the file ~company-a-data.txt~.

    87   #+begin_latex

    88    \begin{center}

    89       \includegraphics[scale=0.3]{bar-chart-hatch}    

    90     \end{center}

    91   #+end_latex

    92   *Clue* - /try bar? in your ipython interpreter/

    93 * Log-log graph

    94   - Log-log graph

    95     - 2-dimensional graph.

    96     - uses logarithmic scales on both axes.

    97     - graph appears as straight line due to non-linear scaling.

    98 * Exercise 7:

    99   Plot a log-log chart of 

   100   #+begin_latex

   101     $y = 5x^3$

   102   #+end_latex

   103   for x from 1-20.

   104 * ~loglog()~ function

   105   - /Syntax :/ loglog(x, y)

   106     - x, a sequence of data

   107     - y, a sequence of data, the same length of x

   108   : In []: loglog(x, y)

   109 * Getting help on ~matplotlib~

   110   - Help 

   111     - [[matplotlib.sourceforge.net/contents.html]]

   112   - More plots

   113     - [[matplotlib.sourceforge.net/users/screenshots.html]]

   114     - [[matplotlib.sourceforge.net/gallery.html]]

   115 

   116 * Summary

   117   - Scatter plot (~scatter()~)

   118   - Pie chart (~pie()~)

   119   - Bar chart (~bar()~)

   120   - Log-log plot (~loglog()~)

   121   - ~matplotlib~ online help

   122 * Thank you!

   123 #+begin_latex

   124   \begin{block}{}

   125   \begin{center}

   126   This spoken tutorial has been produced by the

   127   \textcolor{blue}{FOSSEE} team, which is funded by the 

   128   \end{center}

   129   \begin{center}

   130     \textcolor{blue}{National Mission on Education through \\

   131       Information \& Communication Technology \\ 

   132       MHRD, Govt. of India}.

   133   \end{center}  

   134   \end{block}

   135 #+end_latex

   136 

   137