author | Christopher Burns <chris.d.burns@gmail.com> |
Tue, 29 Jun 2010 00:30:21 -0500 | |
branch | scipy2010 |
changeset 431 | 9126059d6b37 |
parent 330 | 46533051b9d3 |
child 437 | 3547b6f299b4 |
permissions | -rwxr-xr-x |
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\documentclass[12pt]{article} |
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\title{Interactive Plotting} |
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\author{FOSSEE} |
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|
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\usepackage{listings} |
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\lstset{language=Python, |
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basicstyle=\ttfamily, |
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commentstyle=\itshape\bfseries, |
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showstringspaces=false, |
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} |
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\newcommand{\typ}[1]{\lstinline{#1}} |
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\usepackage[english]{babel} |
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\usepackage[latin1]{inputenc} |
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\usepackage{times} |
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\usepackage[T1]{fontenc} |
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\usepackage{ae,aecompl} |
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\usepackage{mathpazo,courier,euler} |
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\usepackage[scaled=.95]{helvet} |
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|
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\begin{document} |
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\date{} |
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\vspace{-1in} |
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\begin{center} |
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\LARGE{Statistics and Least square fit}\\ |
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\large{FOSSEE} |
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\end{center} |
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\section{Statistics} |
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Dictionary |
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\begin{lstlisting} |
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In []: d = {"Hitchhiker's guide" : 42, |
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....: "Terminator" : "I'll be back"} #Creation |
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In []: d["Hitchhiker's guide"] # Accessing a value with key |
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In []: "Hitchhiker's guide" in d #Checking for a key |
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In []: d.keys() # Obtaining List of Keys |
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In []: d.values() # Obtaining List of Values |
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\end{lstlisting} |
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Iterating through List indices |
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\begin{lstlisting} |
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In []: names = ["Guido","Alex", "Tim"] |
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In []: for i, name in enumerate(names): |
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...: print i, name |
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\end{lstlisting} |
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Computing Mean value of `\texttt{g}' |
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\begin{lstlisting} |
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In []: G = [] |
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In []: for line in open('pendulum.txt'): |
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.... points = line.split() |
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.... l = float(points[0]) |
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.... t = float(points[1]) |
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.... g = 4 * pi * pi * l / t * t |
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.... G.append(g) |
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\end{lstlisting} |
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sum() and len() functions |
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\begin{lstlisting} |
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total = 0 |
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for g in G: |
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total += g |
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mean_g = total / len(g) |
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|
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mean_g = sum(G) / len(G) |
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mean_g = mean(G) |
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\end{lstlisting} |
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\newpage |
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Ternary Operator |
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\begin{lstlisting} |
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In []: score = int(score_str) if score_str != 'AA' else 0 |
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\end{lstlisting} |
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Drawing Pie Charts |
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\begin{lstlisting} |
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In []: pie(science.values(), labels=science.keys()) |
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\end{lstlisting} |
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Arrays |
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\begin{lstlisting} |
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In []: a = array([1, 2, 3]) #Creating |
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In []: b = array([4, 5, 6]) |
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In []: a + b #Sum; Element-wise |
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\end{lstlisting} |
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Numpy statistical operations |
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\begin{lstlisting} |
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In []: mean(math_scores) |
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In []: median(math_scores) |
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In []: std(math_scores) |
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\end{lstlisting} |
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\end{document} |