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#+LaTeX_CLASS: beamer
#+LaTeX_CLASS_OPTIONS: [presentation]
#+BEAMER_FRAME_LEVEL: 1
#+BEAMER_HEADER_EXTRA: \usetheme{Warsaw}\usecolortheme{default}\useoutertheme{infolines}\setbeamercovered{transparent}
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#+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
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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
#+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
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