Python:Various - Revision history

KevinYager: /* Linear Regression */

2019-04-01T18:09:27Z

‎Linear Regression

KevinYager: /* See Also */

2019-04-01T18:09:08Z

‎See Also

KevinYager: /* Super */

2016-10-30T20:57:54Z

‎Super

KevinYager: /* Super */

2015-01-14T21:21:53Z

‎Super

KevinYager at 13:46, 29 October 2014

2014-10-29T13:46:56Z

KevinYager at 20:07, 15 October 2014

2014-10-15T20:07:40Z

KevinYager: Created page with "This page collects some notes/hints about the use of Python. ==Matrix== ===Multiply matrix/array/grid by vector=== #!/usr/bin/python import numpy as np..."

2014-10-15T20:06:57Z

Created page with "This page collects some notes/hints about the use of Python. ==Matrix== ===Multiply matrix/array/grid by vector=== <source lang="python"> #!/usr/bin/python import numpy as np..."

New page

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

==Matrix==
===Multiply matrix/array/grid by vector===
<source lang="python">
#!/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
</source>

==See Also==
* [[Python:Indexing]]

← Older revision		Revision as of 21:21, 14 January 2015
Line 17:		Line 17:
	</source>		</source>

		+	Also note that you can exploit * and ** to pass arguments along:
		+	<source lang="python" line >
		+	#!/usr/bin/python
		+	class Foo(object):
		+	def __init__(self, value1, value2):
		+	# do something with the values
		+	print value1, value2
		+
		+	class MyFoo(Foo):
		+	def __init__(self, args, *kwargs):
		+	# do something else, don't care about the args
		+	print 'myfoo'
		+	super(MyFoo, self).__init__(args, *kwargs)
		+	</source>

	==Matrix==		==Matrix==

← Older revision		Revision as of 13:46, 29 October 2014
Line 1:		Line 1:
−	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==

← Older revision		Revision as of 20:07, 15 October 2014
Line 1:		Line 1:
	This page collects some notes/hints about the use of Python.		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:
		+
		+	<source lang="python" line >
		+	#!/usr/bin/python
		+	# -- coding: utf-8 --
		+
		+	class Cube(Platonic):
		+
		+	def __init__(self, args={}):
		+	super(Cube, self).__init__( args=args )
		+
		+	</source>
		+

	==Matrix==		==Matrix==

@@ Line 77: / Line 77: @@
 ==Linear Regression==
 ==See Also==
 * [[Python:Indexing]]

@@ Line 31: / Line 31: @@
          super(MyFoo, self).__init__(*args, **kwargs)
 </source>
 ==Matrix==