PDL::Slices (3)

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NAME

PDL::Slices -- Indexing, slicing, and dicing

SYNOPSIS

  use PDL;
  $a = ones(3,3);
  $b = $a->slice('-1:0,(1)');
  $c = $a->dummy(2);

DESCRIPTION

This package provides many of the powerful PerlDL core index manipulation routines. These routines mostly allow two-way data flow, so you can modify your data in the most convenient representation. For example, you can make a 1000x1000 unit matrix with

 $a = zeroes(1000,1000);
 $a->diagonal(0,1) ++;

which is quite efficient. See PDL::Indexing and PDL::Tips for more examples.

Slicing is so central to the

language that a special compile-time syntax has been introduced to handle it compactly; see PDL::NiceSlice for details.

indexing and slicing functions usually include two-way data flow, so that you can separate the actions of reshaping your data structures and modifying the data themselves. Two special methods, copy and sever, help you control the data flow connection between related variables.

 $b = $a->slice("1:3"); # Slice maintains a link between $a and $b.
 $b += 5;               # $a is changed!

If you want to force a physical copy and no data flow, you can copy or sever the slice expression:

 $b = $a->slice("1:3")->copy;
 $b += 5;               # $a is not changed.

 $b = $a->slice("1:3")->sever;
 $b += 5;               # $a is not changed.

The difference between "sever" and "copy" is that sever acts on (and returns) its argument, while copy produces a disconnected copy. If you say

 $b = $a->slice("1:3");
 $c = $b->sever;

then the variables $b and $c point to the same object but with "->copy" they would not.

FUNCTIONS

s_identity

  Signature: (P(); C())

Internal vaffine identity function.

s_identity processes bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

index

  Signature: (a(n); indx ind(); [oca] c())

"index", "index1d", and "index2d" provide rudimentary index indirection.

 $c = index($source,$ind);
 $c = index1d($source,$ind);
 $c = index2d($source2,$ind1,$ind2);

use the $ind variables as indices to look up values in $source. The three routines thread slightly differently.

*

"index" uses direct threading for 1-D indexing across the 0 dim of $source. It can thread over source thread dims or index thread dims, but not (easily) both: If $source has more than 1 dimension and $ind has more than 0 dimensions, they must agree in a threading sense.

*

"index1d" uses a single active dim in $ind to produce a list of indexed values in the 0 dim of the output - it is useful for collapsing $source by indexing with a single row of values along $source's 0 dimension. The output has the same number of dims as $source. The 0 dim of the output has size 1 if $ind is a scalar, and the same size as the 0 dim of $ind if it is not. If $ind and $source both have more than 1 dim, then all dims higher than 0 must agree in a threading sense.

*

"index2d" works like "index" but uses separate piddles for X and Y coordinates. For more general N-dimensional indexing, see the PDL::NiceSlice syntax or PDL::Slices (in particular "slice", "indexND", and "range").

These functions are two-way, i.e. after

 $c = $a->index(pdl[0,5,8]);
 $c .= pdl [0,2,4];

the changes in $c will flow back to $a.

"index" provids simple threading: multiple-dimensioned arrays are treated as collections of 1-D arrays, so that

 $a = xvals(10,10)+10*yvals(10,10);
 $b = $a->index(3);
 $c = $a->index(9-xvals(10));

puts a single column from $a into $b, and puts a single element from each column of $a into $c. If you want to extract multiple columns from an array in one operation, see dice or indexND.

index barfs if any of the index values are bad.

index1d

  Signature: (a(n); indx ind(m); [oca] c(m))

"index", "index1d", and "index2d" provide rudimentary index indirection.

 $c = index($source,$ind);
 $c = index1d($source,$ind);
 $c = index2d($source2,$ind1,$ind2);

use the $ind variables as indices to look up values in $source. The three routines thread slightly differently.

*

"index" uses direct threading for 1-D indexing across the 0 dim of $source. It can thread over source thread dims or index thread dims, but not (easily) both: If $source has more than 1 dimension and $ind has more than 0 dimensions, they must agree in a threading sense.

*

"index1d" uses a single active dim in $ind to produce a list of indexed values in the 0 dim of the output - it is useful for collapsing $source by indexing with a single row of values along $source's 0 dimension. The output has the same number of dims as $source. The 0 dim of the output has size 1 if $ind is a scalar, and the same size as the 0 dim of $ind if it is not. If $ind and $source both have more than 1 dim, then all dims higher than 0 must agree in a threading sense.

*

"index2d" works like "index" but uses separate piddles for X and Y coordinates. For more general N-dimensional indexing, see the PDL::NiceSlice syntax or PDL::Slices (in particular "slice", "indexND", and "range").

These functions are two-way, i.e. after

 $c = $a->index(pdl[0,5,8]);
 $c .= pdl [0,2,4];

the changes in $c will flow back to $a.

"index" provids simple threading: multiple-dimensioned arrays are treated as collections of 1-D arrays, so that

 $a = xvals(10,10)+10*yvals(10,10);
 $b = $a->index(3);
 $c = $a->index(9-xvals(10));

puts a single column from $a into $b, and puts a single element from each column of $a into $c. If you want to extract multiple columns from an array in one operation, see dice or indexND.

index1d propagates

index elements to the output variable.

index2d

  Signature: (a(na,nb); indx inda(); indx indb(); [oca] c())

"index", "index1d", and "index2d" provide rudimentary index indirection.

 $c = index($source,$ind);
 $c = index1d($source,$ind);
 $c = index2d($source2,$ind1,$ind2);

use the $ind variables as indices to look up values in $source. The three routines thread slightly differently.

*

"index" uses direct threading for 1-D indexing across the 0 dim of $source. It can thread over source thread dims or index thread dims, but not (easily) both: If $source has more than 1 dimension and $ind has more than 0 dimensions, they must agree in a threading sense.

*

"index1d" uses a single active dim in $ind to produce a list of indexed values in the 0 dim of the output - it is useful for collapsing $source by indexing with a single row of values along $source's 0 dimension. The output has the same number of dims as $source. The 0 dim of the output has size 1 if $ind is a scalar, and the same size as the 0 dim of $ind if it is not. If $ind and $source both have more than 1 dim, then all dims higher than 0 must agree in a threading sense.

*

"index2d" works like "index" but uses separate piddles for X and Y coordinates. For more general N-dimensional indexing, see the PDL::NiceSlice syntax or PDL::Slices (in particular "slice", "indexND", and "range").

These functions are two-way, i.e. after

 $c = $a->index(pdl[0,5,8]);
 $c .= pdl [0,2,4];

the changes in $c will flow back to $a.

"index" provids simple threading: multiple-dimensioned arrays are treated as collections of 1-D arrays, so that

 $a = xvals(10,10)+10*yvals(10,10);
 $b = $a->index(3);
 $c = $a->index(9-xvals(10));

puts a single column from $a into $b, and puts a single element from each column of $a into $c. If you want to extract multiple columns from an array in one operation, see dice or indexND.

index2d barfs if either of the index values are bad.

indexNDb

  Backwards-compatibility alias for indexND

indexND

  Find selected elements in an N-D piddle, with optional boundary handling

  $out = $source->indexND( $index, [$method] )

  $source = 10*xvals(10,10) + yvals(10,10);
  $index  = pdl([[2,3],[4,5]],[[6,7],[8,9]]);
  print $source->indexND( $index );

  [
   [23 45]
   [67 89]
  ]

IndexND collapses $index by lookup into $source. The 0th dimension of $index is treated as coordinates in $source, and the return value has the same dimensions as the rest of $index. The returned elements are looked up from $source. Dataflow works --- propagated assignment flows back into $source.

IndexND and IndexNDb were originally separate routines but they are both now implemented as a call to range, and have identical syntax to one another.

rangeb

  Signature: (P(); C(); SV *index; SV *size; SV *boundary)

Engine for range

Same calling convention as range, but you must supply all parameters. "rangeb" is marginally faster as it makes a direct

call, avoiding the perl argument-parsing step.

range

Extract selected chunks from a source piddle, with boundary conditions

        $out = $source->range($index,[$size,[$boundary]])

Returns elements or rectangular slices of the original piddle, indexed by the $index piddle. $source is an N-dimensional piddle, and $index is a piddle whose first dimension has size up to N. Each row of $index is treated as coordinates of a single value or chunk from $source, specifying the location(s) to extract.

If you specify a single index location, then range is essentially an expensive slice, with controllable boundary conditions.

$index and $size can be piddles or array refs such as you would feed to zeroes and its ilk. If $index's 0th dimension has size higher than the number of dimensions in $source, then $source is treated as though it had trivial dummy dimensions of size 1, up to the required size to be indexed by $index --- so if your source array is 1-D and your index array is a list of 3-vectors, you get two dummy dimensions of size 1 on the end of your source array.

You can extract single elements or N-D rectangular ranges from $source, by setting $size. If $size is undef or zero, then you get a single sample for each row of $index. This behavior is similar to indexNDb, which is in fact implemented as a call to range.

If $size is positive then you get a range of values from $source at each location, and the output has extra dimensions allocated for them. $size can be a scalar, in which case it applies to all dimensions, or an N-vector, in which case each element is applied independently to the corresponding dimension in $source. See below for details.

$boundary is a number, string, or list ref indicating the type of boundary conditions to use when ranges reach the edge of $source. If you specify no boundary conditions the default is to forbid boundary violations on all axes. If you specify exactly one boundary condition, it applies to all axes. If you specify more (as elements of a list ref, or as a packed string, see below), then they apply to dimensions in the order in which they appear, and the last one applies to all subsequent dimensions. (This is less difficult than it sounds; see the examples below).

0 (synonyms: 'f','forbid') (default)

Ranges are not allowed to cross the boundary of the original

PDL.

Disallowed ranges throw an error. The errors are thrown at evaluation time, not at the time of the range call (this is the same behavior as slice).

1 (synonyms: 't','truncate')

Values outside the original piddle get

BAD

if you've got bad value support compiled into your

PDL

and set the badflag for the source

PDL

; or 0 if you haven't (you must set the badflag if you want BADs for out of bound values, otherwise you get 0). Reverse dataflow works

OK

for the portion of the child that is in-bounds. The out-of-bounds part of the child is reset to (BAD|0) during each dataflow operation, but execution continues.

2 (synonyms: 'e','x','extend')

Values that would be outside the original piddle point instead to the nearest allowed value within the piddle. See the

CAVEAT

below on mappings that are not single valued.

3 (synonyms: 'p','periodic')

Periodic boundary conditions apply: the numbers in $index are applied, strict-modulo the corresponding dimensions of $source. This is equivalent to duplicating the $source piddle throughout N-D space. See the

CAVEAT

below about mappings that are not single valued.

4 (synonyms: 'm','mirror')

Mirror-reflection periodic boundary conditions apply. See the

CAVEAT

below about mappings that are not single valued.

The boundary condition identifiers all begin with unique characters, so you can feed in multiple boundary conditions as either a list ref or a packed string. (The packed string is marginally faster to run). For example, the four expressions [0,1], ['forbid','truncate'], ['f','t'], and 'ft' all specify that violating the boundary in the 0th dimension throws an error, and all other dimensions get truncated.

If you feed in a single string, it is interpreted as a packed boundary array if all of its characters are valid boundary specifiers (e.g. 'pet'), but as a single word-style specifier if they are not (e.g. 'forbid').

The output threads over both $index and $source. Because implicit threading can happen in a couple of ways, a little thought is needed. The returned dimension list is stacked up like this:

   (index thread dims), (index dims (size)), (source thread dims)

The first few dims of the output correspond to the extra dims of $index (beyond the 0 dim). They allow you to pick out individual ranges from a large, threaded collection.

The middle few dims of the output correspond to the size dims specified in $size, and contain the range of values that is extracted at each location in $source. Every nonzero element of $size is copied to the dimension list here, so that if you feed in (for example) "$size = [2,0,1]" you get an index dim list of "(2,1)".

The last few dims of the output correspond to extra dims of $source beyond the number of dims indexed by $index. These dims act like ordinary thread dims, because adding more dims to $source just tacks extra dims on the end of the output. Each source thread dim ranges over the entire corresponding dim of $source.

Dataflow: Dataflow is bidirectional.

Examples: Here are basic examples of "range" operation, showing how to get ranges out of a small matrix. The first few examples show extraction and selection of individual chunks. The last example shows how to mark loci in the original matrix (using dataflow).

 pdl> $src = 10*xvals(10,5)+yvals(10,5)
 pdl> print $src->range([2,3])    # Cut out a single element
 23
 pdl> print $src->range([2,3],1)  # Cut out a single 1x1 block
 [
  [23]
 ]
 pdl> print $src->range([2,3], [2,1]) # Cut a 2x1 chunk
 [
  [23 33]
 ]
 pdl> print $src->range([[2,3]],[2,1]) # Trivial list of 1 chunk
 [
  [
   [23]
   [33]
  ]
 ]
 pdl> print $src->range([[2,3],[0,1]], [2,1])   # two 2x1 chunks
 [
  [
   [23  1]
   [33 11]
  ]
 ]
 pdl> # A 2x2 collection of 2x1 chunks
 pdl> print $src->range([[[1,1],[2,2]],[[2,3],[0,1]]],[2,1])
 [
  [
   [
    [11 22]
    [23  1]
   ]
   [
    [21 32]
    [33 11]
   ]
  ]
 ]
 pdl> $src = xvals(5,3)*10+yvals(5,3)
 pdl> print $src->range(3,1)  # Thread over y dimension in $src
 [
  [30]
  [31]
  [32]
 ]

 pdl> $src = zeroes(5,4);
 pdl> $src->range(pdl([2,3],[0,1]),pdl(2,1)) .= xvals(2,2,1) + 1
 pdl> print $src
 [
  [0 0 0 0 0]
  [2 2 0 0 0]
  [0 0 0 0 0]
  [0 0 1 1 0]
 ]

: It's quite possible to select multiple ranges that intersect. In that case, modifying the ranges doesn't have a guaranteed result in the original --- the result is an arbitrary choice among the valid values. For some things that's ; but for others it's not. In particular, this doesn't work:

    pdl> $photon_list = new PDL::RandVar->sample(500)->reshape(2,250)*10
    pdl> histogram = zeroes(10,10)
    pdl> histogram->range($photon_list,1)++;  #not what you wanted

The reason is that if two photons land in the same bin, then that bin doesn't get incremented twice. (That may get fixed in a later version...)

: If $index has too many dimensions compared to $source, then $source is treated as though it had dummy dimensions of size 1, up to the required number of dimensions. These virtual dummy dimensions have the usual boundary conditions applied to them.

If the 0 dimension of $index is ludicrously large (if its size is more than 5 greater than the number of dims in the source

) then range will insist that you specify a size in every dimension, to make sure that you know what you're doing. That catches a common error with range usage: confusing the initial dim (which is usually small) with another index dim (perhaps of size 1000).

If the index variable is Empty, then range() always returns the Empty

If the index variable is not Empty, indexing it always yields a boundary violation. All non-barfing conditions are treated as truncation, since there are no actual data to return.

: Because "range" isn't an affine transformation (it involves lookup into a list of N-D indices), it is somewhat memory-inefficient for long lists of ranges, and keeping dataflow open is much slower than for affine transformations (which don't have to copy data around).

Doing operations on small subfields of a large range is inefficient because the engine must flow the entire range back into the original

with every atomic perl operation, even if you only touch a single element. One way to speed up such code is to sever your range, so that doesn't have to copy the data with each operation, then copy the elements explicitly at the end of your loop. Here's an example that labels each region in a range sequentially, using many small operations rather than a single xvals assignment:

  ### How to make a collection of small ops run fast with range...
  $a =  $data->range($index, $sizes, $bound)->sever;
  $aa = $data->range($index, $sizes, $bound);
  map { $a($_ - 1) .= $_; } (1..$a->nelem);    # Lots of little ops
  $aa .= $a;

"range" is a perl front-end to a

function, "rangeb". Calling "rangeb" is marginally faster but requires that you include all arguments.

* index thread dimensions are effectively clumped internally. This makes it easier to loop over the index array but a little more brain-bending to tease out the algorithm.

rangeb processes bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

rld

  Signature: (indx a(n); b(n); [o]c(m))

Run-length decode a vector

Given a vector $a of the numbers of instances of values $b, run-length decode to $c.

 rld($a,$b,$c=null);

rld does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

rle

  Signature: (c(n); indx [o]a(m); [o]b(m))

Run-length encode a vector

Given vector $c, generate a vector $a with the number of each element, and a vector $b of the unique values. New in

only the elements up to the first instance of 0 in $a are returned, which makes the common use case of a 1-dimensional $c simpler. For threaded operation, $a and $b will be large enough to hold the largest row of $a, and only the elements up to the first instance of 0 in each row of $a should be considered.

 $c = floor(4*random(10));
 rle($c,$a=null,$b=null);
 #or
 ($a,$b) = rle($c);

 #for $c of shape [10, 4]:
 $c = floor(4*random(10,4));
 ($a,$b) = rle($c);

 #to see the results of each row one at a time:
 foreach (0..$c->dim(1)-1){
  my ($as,$bs) = ($a(:,($_)),$b(:,($_)));
  my ($ta,$tb) = where($as,$bs,$as!=0); #only the non-zero elements of $a
  print $c(:,($_)) . " rle==> " , ($ta,$tb) , "\trld==> " . rld($ta,$tb) . "\n";
 }

rle does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

xchg

  Signature: (P(); C(); int n1; int n2)

exchange two dimensions

Negative dimension indices count from the end.

The command

 $b = $a->xchg(2,3);

creates $b to be like $a except that the dimensions 2 and 3 are exchanged with each other i.e.

 $b->at(5,3,2,8) == $a->at(5,3,8,2)

xchg does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

reorder

Re-orders the dimensions of a based on the supplied list.

Similar to the xchg method, this method re-orders the dimensions of a

While the xchg method swaps the position of two dimensions, the reorder method can change the positions of many dimensions at once.

 # Completely reverse the dimension order of a 6-Dim array.
 $reOrderedPDL = $pdl->reorder(5,4,3,2,1,0);

The argument to reorder is an array representing where the current dimensions should go in the new array. In the above usage, the argument to reorder "(5,4,3,2,1,0)" indicates that the old dimensions ($pdl's dims) should be re-arranged to make the new pdl ($reOrderPDL) according to the following:

   Old Position   New Position
   ------------   ------------
   5              0
   4              1
   3              2
   2              3
   1              4
   0              5

You do not need to specify all dimensions, only a complete set starting at position 0. (Extra dimensions are left where they are). This means, for example, that you can reorder() the X and Y dimensions of an image, and not care whether it is an

image with a third dimension running across color plane.

Example:

 pdl> $a = sequence(5,3,2);       # Create a 3-d Array
 pdl> p $a
 [
  [
   [ 0  1  2  3  4]
   [ 5  6  7  8  9]
   [10 11 12 13 14]
  ]
  [
   [15 16 17 18 19]
   [20 21 22 23 24]
   [25 26 27 28 29]
  ]
 ]
 pdl> p $a->reorder(2,1,0); # Reverse the order of the 3-D PDL
 [
  [
   [ 0 15]
   [ 5 20]
   [10 25]
  ]
  [
   [ 1 16]
   [ 6 21]
   [11 26]
  ]
  [
   [ 2 17]
   [ 7 22]
   [12 27]
  ]
  [
   [ 3 18]
   [ 8 23]
   [13 28]
  ]
  [
   [ 4 19]
   [ 9 24]
   [14 29]
  ]
 ]

The above is a simple example that could be duplicated by calling "$a->xchg(0,2)", but it demonstrates the basic functionality of reorder.

As this is an index function, any modifications to the result

will change the parent.

mv

  Signature: (P(); C(); int n1; int n2)

move a dimension to another position

The command

 $b = $a->mv(4,1);

creates $b to be like $a except that the dimension 4 is moved to the place 1, so:

 $b->at(1,2,3,4,5,6) == $a->at(1,5,2,3,4,6);

The other dimensions are moved accordingly. Negative dimension indices count from the end.

mv does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

oslice

  Signature: (P(); C(); char* str)

'oslice' is the original 'slice' routine in pre-2.006_006 versions of It is left here for reference but will disappear in

Extract a rectangular slice of a piddle, from a string specifier.

"slice" was the original Swiss-army-knife

indexing routine, but is largely superseded by the NiceSlice source prefilter and its associated nslice method. It is still used as the basic underlying slicing engine for nslice, and is especially useful in particular niche applications.

 $a->slice('1:3');  #  return the second to fourth elements of $a
 $a->slice('3:1');  #  reverse the above
 $a->slice('-2:1'); #  return last-but-one to second elements of $a

The argument string is a comma-separated list of what to do for each dimension. The current formats include the following, where a, b and c are integers and can take legal array index values (including -1 etc):

:

takes the whole dimension intact.

''

(nothing) is a synonym for ``:'' (This means that "$a->slice(':,3')" is equal to "$a->slice(',3')").

a

slices only this value out of the corresponding dimension.

(a)

means the same as ``a'' by itself except that the resulting dimension of length one is deleted (so if $a has dims "(3,4,5)" then "$a->slice(':,(2),:')" has dimensions "(3,5)" whereas "$a->slice(':,2,:')" has dimensions "(3,1,5))".

a:b

slices the range a to b inclusive out of the dimension.

a:b:c

slices the range a to b, with step c (i.e. "3:7:2" gives the indices "(3,5,7)"). This may be confusing to Matlab users but several other packages already use this syntax.

'*'

inserts an extra dimension of width 1 and

'*a'

inserts an extra (dummy) dimension of width a.

An extension is planned for a later stage allowing "$a->slice('(=1),(=1|5:8),3:6(=1),4:6')" to express a multidimensional diagonal of $a.

Trivial out-of-bounds slicing is allowed: if you slice a source dimension that doesn't exist, but only index the 0th element, then "slice" treats the source as if there were a dummy dimension there. The following are all equivalent:

        xvals(5)->dummy(1,1)->slice('(2),0')  # Add dummy dim, then slice
        xvals(5)->slice('(2),0')              # Out-of-bounds slice adds dim.
        xvals(5)->slice((2),0)                # NiceSlice syntax
        xvals(5)->((2))->dummy(0,1)           # NiceSlice syntax

This is an error:

        xvals(5)->slice('(2),1')        # nontrivial out-of-bounds slice dies

Because slicing doesn't directly manipulate the source and destination pdl --- it just sets up a transformation between them --- indexing errors often aren't reported until later. This is either a bug or a feature, depending on whether you prefer error-reporting clarity or speed of execution.

oslice does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

using

Returns array of column numbers requested

 line $pdl->using(1,2);

Plot, as a line, column 1 of $pdl vs. column 2

 pdl> $pdl = rcols("file");
 pdl> line $pdl->using(1,2);

diagonalI

  Signature: (P(); C(); SV *list)

Returns the multidimensional diagonal over the specified dimensions.

The diagonal is placed at the first (by number) dimension that is diagonalized. The other diagonalized dimensions are removed. So if $a has dimensions "(5,3,5,4,6,5)" then after

 $b = $a->diagonal(0,2,5);

the piddle $b has dimensions "(5,3,4,6)" and "$b->at(2,1,0,1)" refers to "$a->at(2,1,2,0,1,2)".

diagonal doesn't handle threadids correctly.

diagonalI does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

lags

  Signature: (P(); C(); int nthdim; int step; int n)

Returns a piddle of lags to parent.

Usage:

  $lags = $a->lags($nthdim,$step,$nlags);

I.e. if $a contains

 [0,1,2,3,4,5,6,7]

then

 $b = $a->lags(0,2,2);

is a (5,2) matrix

 [2,3,4,5,6,7]
 [0,1,2,3,4,5]

This order of returned indices is kept because the function is called ``lags'' i.e. the nth lag is n steps behind the original.

$step and $nlags must be positive. $nthdim can be negative and will then be counted from the last dim backwards in the usual way (-1 = last dim).

lags does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

splitdim

  Signature: (P(); C(); int nthdim; int nsp)

Splits a dimension in the parent piddle (opposite of clump)

After

 $b = $a->splitdim(2,3);

the expression

 $b->at(6,4,x,y,3,6) == $a->at(6,4,x+3*y)

is always true ("x" has to be less than 3).

splitdim does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

rotate

  Signature: (x(n); indx shift(); [oca]y(n))

Shift vector elements along with wrap. Flows data back&forth.

rotate does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

threadI

  Signature: (P(); C(); int id; SV *list)

internal

Put some dimensions to a threadid.

 $b = $a->threadI(0,1,5); # thread over dims 1,5 in id 1

threadI does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

identvaff

  Signature: (P(); C())

A vaffine identity transformation (includes thread_id copying).

Mainly for internal use.

identvaff does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

unthread

  Signature: (P(); C(); int atind)

All threaded dimensions are made real again.

See [

Doc] for details and examples.

unthread does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

dice

Dice rows/columns/planes out of a using indexes for each dimension.

This function can be used to extract irregular subsets along many dimension of a

e.g. only certain rows in an image, or planes in a cube. This can of course be done with the usual dimension tricks but this saves having to figure it out each time!

This method is similar in functionality to the slice method, but slice requires that contiguous ranges or ranges with constant offset be extracted. ( i.e. slice requires ranges of the form "1,2,3,4,5" or "2,4,6,8,10"). Because of this restriction, slice is more memory efficient and slightly faster than dice

 $slice = $data->dice([0,2,6],[2,1,6]); # Dicing a 2-D array

The arguments to dice are arrays (or 1D PDLs) for each dimension in the

These arrays are used as indexes to which rows/columns/cubes,etc to dice-out (or extract) from the $data

Use "X" to select all indices along a given dimension (compare also mslice). As usual (in slicing methods) trailing dimensions can be omitted implying "X"'es for those.

 pdl> $a = sequence(10,4)
 pdl> p $a
 [
  [ 0  1  2  3  4  5  6  7  8  9]
  [10 11 12 13 14 15 16 17 18 19]
  [20 21 22 23 24 25 26 27 28 29]
  [30 31 32 33 34 35 36 37 38 39]
 ]
 pdl> p $a->dice([1,2],[0,3]) # Select columns 1,2 and rows 0,3
 [
  [ 1  2]
  [31 32]
 ]
 pdl> p $a->dice(X,[0,3])
 [
  [ 0  1  2  3  4  5  6  7  8  9]
  [30 31 32 33 34 35 36 37 38 39]
 ]
 pdl> p $a->dice([0,2,5])
 [
  [ 0  2  5]
  [10 12 15]
  [20 22 25]
  [30 32 35]
 ]

As this is an index function, any modifications to the slice change the parent (use the ".=" operator).

dice_axis

Dice rows/columns/planes from a single axis (dimension) using index along a specified axis

This function can be used to extract irregular subsets along any dimension, e.g. only certain rows in an image, or planes in a cube. This can of course be done with the usual dimension tricks but this saves having to figure it out each time!

 $slice = $data->dice_axis($axis,$index);

 pdl> $a = sequence(10,4)
 pdl> $idx = pdl(1,2)
 pdl> p $a->dice_axis(0,$idx) # Select columns
 [
  [ 1  2]
  [11 12]
  [21 22]
  [31 32]
 ]
 pdl> $t = $a->dice_axis(1,$idx) # Select rows
 pdl> $t.=0
 pdl> p $a
 [
  [ 0  1  2  3  4  5  6  7  8  9]
  [ 0  0  0  0  0  0  0  0  0  0]
  [ 0  0  0  0  0  0  0  0  0  0]
  [30 31 32 33 34 35 36 37 38 39]
 ]

The trick to using this is that the index selects elements along the dimensions specified, so if you have a 2D image "axis=0" will select certain "X" values - i.e. extract columns

As this is an index function, any modifications to the slice change the parent.

slice

  $slice = $data->slice([2,3],'x',[2,2,0],"-1:1:-1", "*3");

Extract rectangular slices of a piddle, from a string specifier, an array ref specifier, or a combination.

"slice" is the main method for extracting regions of PDLs and manipulating their dimensionality. You can call it directly or via he NiceSlice source prefilter that extends Perl syntax o include array slicing.

"slice" can extract regions along each dimension of a source

subsample or reverse those regions, dice each dimension by selecting a list of locations along it, or basic indexing routine. The selected subfield remains connected to the original via dataflow. In most cases this neither allocates more memory nor slows down subsequent operations on either of the two connected PDLs.

You pass in a list of arguments. Each term in the list controls the disposition of one axis of the source

and/or returned Each term can be a string-format cut specifier, a list ref that gives the same information without recourse to string manipulation, or a with up to 1 dimension giving indices along that axis that should be selected.

If you want to pass in a single string specifier for the entire operation, you can pass in a comma-delimited list as the first argument. "slice" detects this condition and splits the string into a regular argument list. This calling style is fully backwards compatible with "slice" calls from before

If a particular argument to "slice" is a string, it is parsed as a selection, an affine slice, or a dummy dimension depending on the form. Leading or trailing whitespace in any part of each specifier is ignored (though it is not ignored within numbers).

'', :, or X --- keep

The empty string, ":", or "X" cause the entire corresponding dimension to be kept unchanged.

<n> --- selection

A single number alone causes a single index to be selected from the corresponding dimension. The dimension is kept (and reduced to size 1) in the output.

(<n>) --- selection and collapse

A single number in parenthesis causes a single index to be selected from the corresponding dimension. The dimension is discarded (completely eliminated) in the output.

<n>:<m> --- select an inclusive range

Two numbers separated by a colon selects a range of values from the corresponding axis, e.g. "3:4" selects elements 3 and 4 along the corresponding axis, and reduces that axis to size 2 in the output. Both numbers are regularized so that you can address the last element of the axis with an index of " -1 ". If, after regularization, the two numbers are the same, then exactly one element gets selected (just like the "<n>" case). If, after regulariation, the second number is lower than the first, then the resulting slice counts down rather than up --- e.g. "-1:0" will return the entire axis, in reversed order.

<n>:<m>:<s> --- select a range with explicit step

If you include a third parameter, it is the stride of the extracted range. For example, "0:-1:2" will sample every other element across the complete dimension. Specifying a stride of 1 prevents autoreversal --- so to ensure that your slice is *always* forward you can specify, e.g., "2:$n:1". In that case, an ``impossible'' slice gets an Empty

PDL

(with 0 elements along the corresponding dimension), so you can generate an Empty

PDL

with a slice of the form "2:1:1".

*<n> --- insert a dummy dimension

Dummy dimensions aren't present in the original source and are ``mocked up'' to match dimensional slots, by repeating the data in the original

PDL

some number of times. An asterisk followed by a number produces a dummy dimension in the output, for example *2 will generate a dimension of size 2 at the corresponding location in the output dim list. Omitting the numeber (and using just an asterisk) inserts a dummy dimension of size 1.

If you feed in an

ref as a slice term, then it can have 0-3 elements. The first element is the start of the slice along the corresponding dim; the second is the end; and the third is the stepsize. Different combinations of inputs give the same flexibility as the string syntax.

[] - keep dim intact

An empty

ARRAY

ref keeps the entire corresponding dim

[ 'X' ] - keep dim intact

[ '*',$n ] - generate a dummy dim of size $n

If $n is missing, you get a dummy dim of size 1.

[ $dex, , 0 ] - collapse and discard dim

$dex must be a single value. It is used to index the source, and the corresponding dimension is discarded.

[ $start, $end ] - collect inclusive slice

In the simple two-number case, you get a slice that runs up or down (as appropriate) to connect $start and $end.

[ $start, $end, $inc ] - collect inclusive slice

The three-number case works exactly like the three-number string case above.

args for dicing

If you pass in a 0- or 1-D

as a slicing argument, the corresponding dimension is ``diced'' --- you get one position along the corresponding dim, per element of the indexing e.g. "$a->slice( pdl(3,4,9))" gives you elements 3, 4, and 9 along the 0 dim of $a.

Because dicing is not an affine transformation, it is slower than direct slicing even though the syntax is convenient.

 $a->slice('1:3');  #  return the second to fourth elements of $a
 $a->slice('3:1');  #  reverse the above
 $a->slice('-2:1'); #  return last-but-one to second elements of $a

 $a->slice([1,3]);  # Same as above three calls, but using array ref syntax
 $a->slice([3,1]);
 $a->slice([-2,1]);

sliceb

  Signature: (P(); C(); SV *args)

info not available

sliceb does not process bad values. It will set the bad-value flag of all output piddles if the flag is set for any of the input piddles.

BUGS

For the moment, you can't slice one of the zero-length dims of an empty piddle. It is not clear how to implement this in a way that makes sense.

Many types of index errors are reported far from the indexing operation that caused them. This is caused by the underlying architecture: slice() sets up a mapping between variables, but that mapping isn't tested for correctness until it is used (potentially much later).

AUTHOR

Copyright (C) 1997 Tuomas J. Lukka. Contributions by Craig DeForest, deforest@boulder.swri.edu. Documentation contributions by David Mertens. All rights reserved. There is no warranty. You are allowed to redistribute this software / documentation under certain conditions. For details, see the file in the distribution. If this file is separated from the distribution, the copyright notice should be included in the file.