# HG changeset patch # User Anoop Jacob Thomas # Date 1289139446 -19800 # Node ID 3c16961361cd304fe14928476e07d807ded3db90 # Parent 36295bb9176676cb53033deeb9875d0789d7dd27 reviewed plotting-data. diff -r 36295bb91766 -r 3c16961361cd plotting-data/questions.rst --- a/plotting-data/questions.rst Sun Nov 07 18:36:59 2010 +0530 +++ b/plotting-data/questions.rst Sun Nov 07 19:47:26 2010 +0530 @@ -23,10 +23,16 @@ By passing an extra parameter '.'. +.. #[[Anoop: It can better if asked as, How do you plot the data as + points using plot function?]] + 4. What does the parameter 'o' do ? It plots large points. +.. #[[Anoop: give an example and ask what it does, like plot(x, y, + 'o'), that makes the question simple]] + 5. How do you plot error in Python? Using the function error bar. diff -r 36295bb91766 -r 3c16961361cd plotting-data/script.rst --- a/plotting-data/script.rst Sun Nov 07 18:36:59 2010 +0530 +++ b/plotting-data/script.rst Sun Nov 07 19:47:26 2010 +0530 @@ -16,38 +16,50 @@ .. Author : Amit - Internal Reviewer : + Internal Reviewer : Anoop Jacob Thomas External Reviewer : Checklist OK? : [2010-10-05] +.. #[[Anoop: Add quickref]] +.. #[[Anoop: Slides are incomplete, add summary slide, thank you slide + etc.]] + +=============================== Plotting Experimental Data -============================= +=============================== + +{{{ Show the slide containing title }}} + Hello and welcome , this tutorial on Plotting Experimental data is presented by the fossee team. -{{{ Show the slide containing title }}} +{{{ Show the Outline Slide }}} - -{{{ Show the Outline Slide }}} +.. #[[Anoop: outline slide is missing]] 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 +2. We will also become familiar 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 +One needs to be familiar with the concepts of plotting mathematical functions in Python. We will use data from a Simple Pendulum Experiment to illustrate our points. +.. #[[Anoop: what do you mean by points here? if you mean the + points/numbered list in outline slide, then remove the usage point + from here.]] + {{{ Simple Pendulum data Slide }}} - +.. #[[Anoop: slides are incomplete, work on slides and context + switches]] As we know for a simple pendulum length,L is directly proportional to @@ -59,14 +71,20 @@ comma seperated values inside two square brackets. This is also called List so to create two sequences -L,t type in ipython shell. :: +.. #[[Anoop: instead of saying "to tell ipython a sequence of values" + and make it complicated, we can tell, we define a sequence as]] + +L,t type in ipython shell. + +.. #[[Anoop: sentence is incomplete, can be removed]] + +:: 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.:: @@ -75,10 +93,14 @@ array([ 0.4761, 0.81 , 1.4161, 1.69 , 2.1609, 2.4964, 3.1329, 3.3489, 3.7636]) +.. #[[Anoop: how do you get the array([ 0.4761 ....]) output?]] + Now to plot L vs T^2 we will simply type :: - In []: plot(L,t,.) + In []: plot(L,t,'.') + +.. #[[Anoop: be consistent with the spacing and all.]] '.' here represents to plot use small dots for the point. :: @@ -86,17 +108,26 @@ You can also specify 'o' for big dots.:: - In []: plot(L,t,o) + In []: plot(L,t,'o') In []: clf() +.. #[[Anoop: Make sure code is correct, corrected plot(L,t,o) to + plot(L,t,'o')]] + {{{ Slide with Error data included }}} +.. #[[Anoop: again slides are incomplete.]] 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 :: +the sequence values in the same manner as we did for L and t + +.. #[[Anoop: give introduction to error and say what we are going to + do]] + +:: In []: delta_L= [0.08,0.09,0.07,0.05,0.06,0.00,0.06,0.06,0.01] @@ -111,10 +142,12 @@ 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. +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 +similarly we can draw the same error bar with big red dots just change the parameters to fmt to 'ro'. :: In []: clf() @@ -143,7 +176,7 @@ {{{ Show the "sponsored by FOSSEE" slide }}} - +.. #[[Anoop: again slides are incomplete]] This tutorial was created as a part of FOSSEE project. @@ -151,8 +184,3 @@ Thankyou - - -Author : Amit Sethi -Internal Reviewer : -Internal Reviewer 2 : diff -r 36295bb91766 -r 3c16961361cd plotting-data/slides.tex --- a/plotting-data/slides.tex Sun Nov 07 18:36:59 2010 +0530 +++ b/plotting-data/slides.tex Sun Nov 07 19:47:26 2010 +0530 @@ -1,21 +1,28 @@ -% Created 2010-10-28 Thu 15:05 +% Created 2010-11-07 Sun 18:57 \documentclass[presentation]{beamer} -\usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\setbeamercovered{transparent} \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 +\providecommand{\alert}[1]{\textbf{#1}} \title{Plotting Experimental Data} \author{FOSSEE} \date{2010-09-14 Tue} +\usetheme{Warsaw}\useoutertheme{infolines}\usecolortheme{default}\setbeamercovered{transparent} \begin{document} \maketitle @@ -31,7 +38,7 @@ \begin{itemize} \item Plotting Experiment Data and Error Bars\\ -\label{sec-1.1}% +\label{sec-1_1}% \end{itemize} % ends low level \end{frame} \begin{frame} @@ -40,7 +47,7 @@ \begin{itemize} \item Plotting simple analytical Functions\\ -\label{sec-2.1}% +\label{sec-2_1}% \end{itemize} % ends low level \end{frame} \begin{frame}