Ufunc(3) User Contributed Perl Documentation Ufunc(3)NAMEPDL::Ufunc - primitive ufunc operations for pdl
DESCRIPTION
This module provides some primitive and useful functions defined using
PDL::PP based on functionality of what are sometimes called ufuncs (for
example NumPY and Mathematica talk about these). It collects all the
functions generally used to "reduce" or "accumulate" along a dimension.
These all do their job across the first dimension but by using the
slicing functions you can do it on any dimension.
The PDL::Reduce module provides an alternative interface to many of the
functions in this module.
SYNOPSIS
use PDL::Ufunc;
FUNCTIONS
prodover
Signature: (a(n); int+ [o]b())
Project via product to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the product along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = prodover($b);
$spectrum = prodover $image->xchg(0,1)
dprodover
Signature: (a(n); double [o]b())
Project via product to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the product along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = dprodover($b);
$spectrum = dprodover $image->xchg(0,1)
Unlike prodover, the calculations are performed in double precision.
cumuprodover
Signature: (a(n); int+ [o]b(n))
Cumulative product
This function calculates the cumulative product along the 1st
dimension.
By using xchg etc. it is possible to use any dimension.
The sum is started so that the first element in the cumulative product
is the first element of the parameter.
$a = cumuprodover($b);
$spectrum = cumuprodover $image->xchg(0,1)
dcumuprodover
Signature: (a(n); double [o]b(n))
Cumulative product
This function calculates the cumulative product along the 1st
dimension.
By using xchg etc. it is possible to use any dimension.
The sum is started so that the first element in the cumulative product
is the first element of the parameter.
$a = cumuprodover($b);
$spectrum = cumuprodover $image->xchg(0,1)
Unlike cumuprodover, the calculations are performed in double
precision.
sumover
Signature: (a(n); int+ [o]b())
Project via sum to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the sum along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = sumover($b);
$spectrum = sumover $image->xchg(0,1)
dsumover
Signature: (a(n); double [o]b())
Project via sum to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the sum along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = dsumover($b);
$spectrum = dsumover $image->xchg(0,1)
Unlike sumover, the calculations are performed in double precision.
cumusumover
Signature: (a(n); int+ [o]b(n))
Cumulative sum
This function calculates the cumulative sum along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
The sum is started so that the first element in the cumulative sum is
the first element of the parameter.
$a = cumusumover($b);
$spectrum = cumusumover $image->xchg(0,1)
dcumusumover
Signature: (a(n); double [o]b(n))
Cumulative sum
This function calculates the cumulative sum along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
The sum is started so that the first element in the cumulative sum is
the first element of the parameter.
$a = cumusumover($b);
$spectrum = cumusumover $image->xchg(0,1)
Unlike cumusumover, the calculations are performed in double precision.
orover
Signature: (a(n); int+ [o]b())
Project via or to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the or along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = orover($b);
$spectrum = orover $image->xchg(0,1)
bandover
Signature: (a(n); int+ [o]b())
Project via bitwise and to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the bitwise and along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = bandover($b);
$spectrum = bandover $image->xchg(0,1)
borover
Signature: (a(n); int+ [o]b())
Project via bitwise or to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the bitwise or along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = borover($b);
$spectrum = borover $image->xchg(0,1)
zcover
Signature: (a(n); int+ [o]b())
Project via == 0 to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the == 0 along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = zcover($b);
$spectrum = zcover $image->xchg(0,1)
andover
Signature: (a(n); int+ [o]b())
Project via and to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the and along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = andover($b);
$spectrum = andover $image->xchg(0,1)
intover
Signature: (a(n); int+ [o]b())
Project via integral to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the integral along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = intover($b);
$spectrum = intover $image->xchg(0,1)
Notes:
For "n > 3", these are all "O(h^4)" (like Simpson's rule), but are
integrals between the end points assuming the pdl gives values just at
these centres: for such `functions', sumover is correct to O(h), but is
the natural (and correct) choice for binned data, of course.
average
Signature: (a(n); int+ [o]b())
Project via average to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the average along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = average($b);
$spectrum = average $image->xchg(0,1)
daverage
Signature: (a(n); double [o]b())
Project via average to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the average along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = daverage($b);
$spectrum = daverage $image->xchg(0,1)
Unlike average, the calculation is performed in double precision.
medover
Signature: (a(n); [o]b(); [t]tmp(n))
Project via median to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the median along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = medover($b);
$spectrum = medover $image->xchg(0,1)
oddmedover
Signature: (a(n); [o]b(); [t]tmp(n))
Project via oddmedian to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the oddmedian along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = oddmedover($b);
$spectrum = oddmedover $image->xchg(0,1)
The median is sometimes not a good choice as if the array has an even
number of elements it lies half-way between the two middle values -
thus it does not always correspond to a data value. The lower-odd
median is just the lower of these two values and so it ALWAYS sits on
an actual data value which is useful in some circumstances.
pctover
Signature: (a(n); p(); [o]b(); [t]tmp(n))
Project via percentile to N-1 dimensions
This function reduces the dimensionality of a piddle by one by finding
the specified percentile (p) along the 1st dimension. The specified
percentile must be between 0.0 and 1.0. When the specified percentile
falls between data points, the result is interpolated.
By using xchg etc. it is possible to use any dimension.
$a = pctover($b, $p);
$spectrum = pctover $image->xchg(0,1) $p
oddpctover
Signature: (a(n); p(); [o]b(); [t]tmp(n))
Project via percentile to N-1 dimensions
This function reduces the dimensionality of a piddle by one by finding
the specified percentile along the 1st dimension. The specified
percentile must be between 0.0 and 1.0. When the specified percentile
falls between two values, the nearest data value is the result.
By using xchg etc. it is possible to use any dimension.
$a = oddpctover($b, $p);
$spectrum = oddpctover $image->xchg(0,1) $p
pct
Return the specified percentile of all elements in a piddle. The
specified percentile (p) must be between 0.0 and 1.0. When the
specified percentile falls between data points, the result is
interpolated.
$x = pct($data, $pct);
oddpct
Return the specified percentile of all elements in a piddle. The
specified percentile must be between 0.0 and 1.0. When the specified
percentile falls between two values, the nearest data value is the
result.
$x = oddpct($data, $pct);
avg
Return the average of all elements in a piddle
$x = avg($data);
sum
Return the sum of all elements in a piddle
$x = sum($data);
prod
Return the product of all elements in a piddle
$x = prod($data);
davg
Return the average (in double precision) of all elements in a piddle
$x = davg($data);
dsum
Return the sum (in double precision) of all elements in a piddle
$x = dsum($data);
dprod
Return the product (in double precision) of all elements in a piddle
$x = dprod($data);
zcheck
Return the check for zero of all elements in a piddle
$x = zcheck($data);
and
Return the logical and of all elements in a piddle
$x = and($data);
band
Return the bitwise and of all elements in a piddle
$x = band($data);
or
Return the logical or of all elements in a piddle
$x = or($data);
bor
Return the bitwise or of all elements in a piddle
$x = bor($data);
min
Return the minimum of all elements in a piddle
$x = min($data);
max
Return the maximum of all elements in a piddle
$x = max($data);
median
Return the median of all elements in a piddle
$x = median($data);
oddmedian
Return the oddmedian of all elements in a piddle
$x = oddmedian($data);
any
Return true if any element in piddle set
Useful in conditional expressions:
if (any $a>15) { print "some values are greater than 15\n" }
all
Return true if all elements in piddle set
Useful in conditional expressions:
if (all $a>15) { print "all values are greater than 15\n" }
minmax
Returns an array with minimum and maximum values of a piddle.
($mn, $mx) = minmax($pdl);
This routine does not thread over the dimensions of $pdl; it returns
the minimum and maximum values of the whole array. See minmaximum if
this is not what is required. The two values are returned as Perl
scalars similar to min/max.
perldl> $x = pdl [1,-2,3,5,0]
perldl> ($min, $max) = minmax($x);
perldl> p "$min $max\n";
-2 5
qsort
Signature: (a(n); [o]b(n))
Quicksort a vector into ascending order.
print qsort random(10);
qsorti
Signature: (a(n); int [o]indx(n))
Quicksort a vector and return index of elements in ascending order.
$ix = qsorti $a;
print $a->index($ix); # Sorted list
qsortvec
Signature: (a(n,m); [o]b(n,m))
Sort a list of vectors lexicographically.
The 0th dimension of the source piddle is dimension in the vector; the
1st dimension is list order. Higher dimensions are threaded over.
print qsortvec pdl([[1,2],[0,500],[2,3],[4,2],[3,4],[3,5]]);
[
[ 0 500]
[ 1 2]
[ 2 3]
[ 3 4]
[ 3 5]
[ 4 2]
]
minimum
Signature: (a(n); [o]c())
Project via minimum to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the minimum along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = minimum($b);
$spectrum = minimum $image->xchg(0,1)
minimum_ind
Signature: (a(n); int [o] c())
Like minimum but returns the index rather than the value
minimum_n_ind
Signature: (a(n); int[o]c(m))
Returns the index of "m" minimum elements
maximum
Signature: (a(n); [o]c())
Project via maximum to N-1 dimensions
This function reduces the dimensionality of a piddle by one by taking
the maximum along the 1st dimension.
By using xchg etc. it is possible to use any dimension.
$a = maximum($b);
$spectrum = maximum $image->xchg(0,1)
maximum_ind
Signature: (a(n); int [o] c())
Like maximum but returns the index rather than the value
maximum_n_ind
Signature: (a(n); int[o]c(m))
Returns the index of "m" maximum elements
minmaximum
Signature: (a(n); [o]cmin(); [o] cmax(); int [o]cmin_ind(); int [o]cmax_ind())
Find minimum and maximum and their indices for a given piddle;
perldl> $a=pdl [[-2,3,4],[1,0,3]]
perldl> ($min, $max, $min_ind, $max_ind)=minmaximum($a)
perldl> p $min, $max, $min_ind, $max_ind
[-2 0] [4 3] [0 1] [2 2]
See also minmax, which clumps the piddle together.
AUTHOR
Copyright (C) Tuomas J. Lukka 1997 (lukka@husc.harvard.edu).
Contributions by Christian Soeller (c.soeller@auckland.ac.nz) and Karl
Glazebrook (kgb@aaoepp.aao.gov.au). All rights reserved. There is no
warranty. You are allowed to redistribute this software / documentation
under certain conditions. For details, see the file COPYING in the PDL
distribution. If this file is separated from the PDL distribution, the
copyright notice should be included in the file.
perl v5.10.0 2008-08-29 Ufunc(3)