From 74aedbbec5fa854d50ba619dad0519759b06a664 Mon Sep 17 00:00:00 2001
From: Jennifer Rinker <rink@win.dtu.dk>
Date: Mon, 2 Oct 2017 11:45:55 +0200
Subject: [PATCH] moving md so it doesnt clutter repo
---
python_vs_matlab.md | 188 --------------------------------------------
1 file changed, 188 deletions(-)
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-# This is a work in progress
-
-Please don't read this. It requires a lot of formatting.
-
-For now, you can read all of this in a PDF [here](https://gitlab.windenergy.dtu.dk/python-at-risoe/scientific-python-workshops/2-getting-started/blob/master/matlab_vs_python.pdf).
-
-# Placing text below so I don't lose it, but it is not useful to others now
-
-Originally from [this page](http://reactorlab.net/resources-folder/matlab/P_to_M.html)
-but modified to 1) be in markdown, 2) fix some errors, and 3) add more detail.
-
-<table>
- <tr>
- <th>Python</th>
- <th>Matlab</th>
- </tr>
- <tr>
- <td><ul>
- <li>numeric variables are double precision if decimal added</li>
- </ul>
- <pre><code>a = 5. # this is a float
-a = 5 # this is an int</code></pre>
- </td>
- <td><ul>
- <li>numeric variables are double precision by default</li>
- </ul>
- <pre><code>a = 5.0; % this is a double</code></pre>
- </td>
- </tr>
- <tr>
- <td>Eve</td>
- <td>Jackson</td>
- </tr>
-</table>
-
-# test
-
-
-
-numeric arrays are objects defined in NumPy package <br /> indexes start at 0 in Python <br /> structures are defined by indentation, no 'end' <br /> `A = np.empty(10) # initialize array A`| array indexes start at 1 in Matlab <br /> indentation is for readability only <br /> `for i=1:10` <br /> ` A(i) = i;`
-for i in range(1,11): | end
-Â Â Â A.append(i) | A % display contents of A
-Â Â Â print(A[i-1])Â |
- |
-# repeat which prints a series of |
-# values | for i=0:2:10
- |     fprintf(' %i \n', i)
-for i in range(0,11,2): | end
-Â Â Â print(i) |
- |
-# initialize an identity matrix |
- | % MATLAB has built-in functions for
-# import the numpy library for matrix operations | % common array initializations
- |
-import numpy as np | B = eye(100);
- |
-B = np.identity(3) |
- |
-# declare and initialize an array, | C = [1, 2, 3]; % or C = [1 2 3];
-# known as a list in Python |
- |
-C = [1, 2, 3] |
- |
-# initialize and print an array |
-# array name = arange(start,stop,step) | % array name = [start:increment:end];
- |
-import numpy as np |
-C = np.arange(2,10,2) | C = [2:2:8]Â % leave off ; to display value
-print(C) |
- |
-# print an array element on screen |
-# array indexes start at 0Â Â | % array indexes start at 1
- |
-print(C[1])Â | C(2)
- |
-# prints 4 using C from above table cell | % prints 4 using C from above table cell
-# note square brackets C[1] | % note parentheses C(2)
- |
-# declare and initialize an array |
-# with fixed interval between values |
-import numpy as np |
-C = np.linspace(2,8,4) | C =Â linspace(2,8,4);
-# third param is optional and = # points |
-# between and including 1st two points | % third param is optional and = # points
-# if third param left off, default | % between and including 1st two points
-# is 50 points | % if third param left off, default
- | % is 100 points
-# initialize a 2D array | % these three examples accomplish the
- | % same thing
- |
-D = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] | D = [1 2 3; 4 5 6; 7 8 9];
- | D = [1:3; 4:6; 7:9];
- | D = [1 2 3
- | Â Â Â Â Â 4 5 6
- | Â Â Â Â Â 7 8 9];
-# print element of 2D array | % array indexes start at 1
-# array indexes start at 0Â | Â Â
-print(D[1][1]) # row 2, column 2 |
-#Â prints 5Â using D from above table cell | D(2,2) % row 2, column 2
- | % prints 5Â using D from above table cell
-# print selected sub array of 2D array |
-#Â e.g., print rows 1 to 2 of column 1Â |
- | D(1:2,1) % rows 1 to 2 of column 1
-for i in range(0,2): |
-Â Â Â print(D[i][0]) |
- |
-# print all rows of column 1 of 2D |
-# array |
- |
-import numpy as np | D(:,1) % all rows, column 1
-D = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) |
-Dsub = D[0:,0:1] |
-print(Dsub) |
- |
-# logical expression |
- |
-a = 1 | a = 1
-b = 2 | b = 2;
-if a == 1 or b == 3: | if a == 1 || b == 3
-Â Â Â print('a = 2 or b = 3') | Â Â Â Â fprintf('a = 2 or b = 3 \n');
- | endÂ
- |
-#Â if structure |
- |
-if a == 1 and b != 3: | if a == 1 && b ~= 3
-Â Â Â print('a=1 and b not 3'); | Â Â Â Â fprintf('a=1 and b not 3 \n');
-   print('OK?') |     fprintf('OK? \n');
- | end
- |
-# if, else structure |
- | a ~= 1
-if a != 1: | Â Â Â Â fprintf('a is not 1 \n')
-Â Â Â print('a is not 1') | elseif b ~= 3Â
-elif b != 3: | Â Â Â Â fprintf('b is not 3 \n')
-Â Â Â print('b is not 3') | else
-else: | Â Â Â Â fprintf('huh? \n')
-Â Â Â print('huh?') | end
- |
-# switch structure |
- | switch menuChoice
-# Python doesn't have a switch structure | Â Â Â Â case 1
- | Â Â Â Â Â Â Â % can do any actions in a case, e.g.,
-# any switch structure can be | Â Â Â Â Â Â Â % call a user-defined function
-# written as an if-else structure | Â Â Â Â Â Â Â Â myMenuFunc01();
- | Â Â Â Â case 2
-# switch structures may be quicker to |         myMenuFunc02();
-# read and write for applications such as menus | Â Â Â Â case 3
- | Â Â Â Â Â Â Â Â myMenuFunc03();
- | Â Â Â Â otherwise
- | Â Â Â Â Â Â Â Â fprintf('invalid selection, try again')
- | end
- |
-# program which calls a user-defined function | % main program and function definition must
- | % be in separate files and function file
-# define function, here I chose name myfunc | % must have same name as function name
- |
-def myfunc(x,y): | z =Â myfunc(2,3)
-Â Â Â return x**y # ** is exponentiation operator | % prints 8 for this input
- |
-# call function | ----- LISTING OF FILEÂ myfunc.m ------
- |
-z = myfunc(2,3) | function returnValue = myfunc(x,y)
-print(z) | Â Â returnValue = x^y; % ^ is exponentiation operator
-# prints 8 for this input |
- | Â Â % function is a keyword
- | Â Â % returnValue is arbitrary variable name
- | Â Â Â Â Â
-# matrix multiplication | Â Â
- | Â Â
-import numpy as np | Â Â
- | AÂ = [2,3; 3,5];
-A = np.matrix( ((2,3), (3, 5)) ) | B = [1,2; 5,-1];
-B = np.matrix( ((1,2), (5, -1)) ) |
- | C = A * B
-C = A * B |
-print(C)Â |
- |
-# plotting |
- |
-import numpy as np |
-import matplotlib.pyplot as plt |
-x = np.linspace(0,2*np.pi,100) | x = linspace(0,2*pi,100);
-y = np.sin(x) | y = sin(x);
-plt.plot(x,y) | plot(x,y)
-plt.ylabel('sin(x)') | ylabel('sin(x)')
-plt.xlabel('x') | xlabel('x')Â
-plt.show()Â |
-
--
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