Difference between revisions of "Python:Various"
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− | This page collects some notes/hints about the use of Python. | + | This page collects some notes/hints about the use of the [[Python]] programming language. |
==Super== | ==Super== |
Revision as of 08:46, 29 October 2014
This page collects some notes/hints about the use of the Python programming language.
Super
In object-oriented programming, one must sometimes call upon the parent class or super class.
In python, a given object (self) can refer to its parent as:
#!/usr/bin/python # -*- coding: utf-8 -*- class Cube(Platonic): def __init__(self, args={}): super(Cube, self).__init__( args=args )
Matrix
Multiply matrix/array/grid by vector
#!/usr/bin/python import numpy as np # 2D example size = 11 extent = 1.0 #axis_x = np.linspace( -extent, +extent, size ) #axis_y = np.linspace( -extent, +extent, size ) X, Y = np.meshgrid( axis_x, axis_y ) # Example 2D arrays v = np.asarray( [ np.linspace( 0, 1, size ) ] ) print X*v # Multiplies across row (x-direction) print X*v.transpose() # Multiplies down columns (y-direction) # 3D example size = 3 extent = 1.0 X, Y, Z = np.mgrid[ -extent:+extent:size*1j , -extent:+extent:size*1j , -extent:+extent:size*1j ] # Example 3D arrays # Example vectors we want to multiply with u = np.linspace( 1, 2, size ).reshape(size,1,1) # Multiplies down layers (z-direction) v = np.linspace( 1, 2, size ).reshape(1,size,1) # Multiplies down column (y-direction) w = np.linspace( 1, 2, size ).reshape(1,1,size) # Multiplies across row (x-direction) print X print '--' print u print X*u print '--' print v print X*v print '--' print w print X*w