Python:Various

This page collects some notes/hints about the use of Python.

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    

See Also

• Python:Indexing