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#+TITLE: Other type of plots

#+AUTHOR:    FOSSEE

#+EMAIL:     

#+DATE:    

#+DESCRIPTION: 

#+KEYWORDS: 

#+LANGUAGE:  en

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* 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 

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    $45^o$

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  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}

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  *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 

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    $y = 5x^3$

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  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}{}

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  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}

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