PDL::Graphics::Limits - derive limits for display purposes

Functions to derive limits for data for display purposes

  use PDL::Graphics::Limits;

limits derives global limits for one or more multi-dimensional sets of data for display purposes. It obtains minimum and maximum limits for each dimension based upon one of several algorithms.

  @limits = limits( @datasets );
  @limits = limits( @datasets, \%attr );
  $limits = limits( @datasets );
  $limits = limits( @datasets, \%attr );

Data Sets

A data set is represented as a set of one dimensional vectors, one per dimension. All data sets must have the same dimensions. Multi-dimensional data sets are packaged as arrays or hashs; one dimensional data sets need not be. The different representations may be mixed, as long as the dimensions are presented in the same order. Vectors may be either scalars or piddles.

One dimensional data sets

One dimensional data sets may be passed directly, with no additional packaging:

  limits( $scalar, $piddle );

Data sets as arrays

If the data sets are represented by arrays, each vectors in each array must have the same order:

  @ds1 = ( $x1_pdl, $y1_pdl );
  @ds2 = ( $x2_pdl, $y2_pdl );

They are passed by reference:

  limits( \@ds1, \@ds2 );

Data sets as hashes

Hashes are passed by reference as well, but must be further embedded in arrays (also passed by reference), in order that the last one is not confused with the optional trailing attribute hash. For example:

  limits( [ \%ds4, \%ds5 ], \%attr );

If each hash uses the same keys to identify the data, the keys should be passed as an ordered array via the CWVecKeys attribute:

  limits( [ \%h1, \%h2 ], { VecKeys => [ 'x', 'y' ] } );

If the hashes use different keys, each hash must be accompanied by an ordered listing of the keys, embedded in their own anonymous array:

  [ \%h1 => ( 'x', 'y' ) ], [ \%h2 => ( 'u', 'v' ) ]

Keys which are not explicitly identified are ignored.

Errors

Error bars must be taken into account when determining limits; care is especially needed if the data are to be transformed before plotting (for logarithmic plots, for example). Errors may be symmetric (a single value indicates the negative and positive going errors for a data point) or asymmetric (two values are required to specify the errors).

If the data set is specified as an array of vectors, vectors with errors should be embedded in an array. For symmetric errors, the error is given as a single vector (piddle or scalar); for asymmetric errors, there should be two values (one of which may be CWundef to indicate a one-sided error bar):

  @ds1 = ( $x,                  # no errors
           [ $y, $yerr ],       # symmetric errors
           [ $z, $zn, $zp ],    # asymmetric errors
           [ $u, undef, $up ],  # one-sided error bar
           [ $v, $vn, undef ],  # one-sided error bar
         );

If the data set is specified as a hash of vectors, the names of the error bar keys are appended to the names of the data keys in the CWVecKeys designations. The error bar key names are always prefixed with a character indicating what kind of error they represent:

        < negative going errors
        > positive going errors
        = symmetric errors

(Column names may be separated by commas or white space.)

For example,

  %ds1 = ( x => $x, xerr => $xerr, y => $y, yerr => $yerr );
  limits( [ \%ds1 ], { VecKeys => [ 'x =xerr', 'y =yerr' ] } );

To specify asymmetric errors, specify both the negative and positive going errors:

  %ds1 = ( x => $x, xnerr => $xn, xperr => $xp,
           y => $y );
  limits( [ \%ds1 ], { VecKeys => [ 'x <xnerr >xperr', 'y' ] } );

For one-sided error bars, specify a column just for the side to be plotted:

  %ds1 = ( x => $x, xnerr => $xn,
           y => $y, yperr => $yp );
  limits( [ \%ds1 ], { VecKeys => [ 'x <xnerr', 'y >yperr' ] } );

Data in hashes with different keys follow the same paradigm:

  [ \%h1 => ( 'x =xerr', 'y =yerr' ) ], [ \%h2 => ( 'u =uerr', 'v =verr' ) ]

In this case, the column names specific to a single data set override those specified via the CWVecKeys option.

  limits( [ \%h1 => 'x =xerr' ], { VecKeys => [ 'x <xn >xp' ] } )

In the case of a multi-dimensional data set, one must specify all of the keys:

  limits( [ \%h1 => ( 'x =xerr', 'y =yerr' ) ],
                  { VecKeys => [ 'x <xn >xp', 'y <yp >yp' ] } )

One can override only parts of the specifications:

  limits( [ \%h1 => ( '=xerr', '=yerr' ) ],
                  { VecKeys => [ 'x <xn >xp', 'y <yp >yp' ] } )

Use CWundef as a placeholder for those keys for which nothing need by overridden:

  limits( [ \%h1 => undef, 'y =yerr' ],
                  { VecKeys => [ 'x <xn >xp', 'y <yp >yp' ] } )

Data Transformation

Normally the data passed to limits should be in their final, transformed, form. For example, if the data will be displayed on a logarithmic scale, the logarithm of the data should be passed to limits. However, if error bars are also to be displayed, the untransformed data must be passed, as

  log(data) + log(error) != log(data + error)

Since the ranges must be calculated for the transformed values, range must be given the transformation function.

If all of the data sets will undergo the same transformation, this may be done with the Trans attribute, which is given a list of subroutine references, one for each element of a data set. An CWundef value may be used to indicate no transformation is to be performed. For example,

  @ds1 = ( $x, $y );

  # take log of $x
  limits( \@ds1, { trans => [ \&log10 ] } );

  # take log of $y
  limits( \@ds1, { trans => [ undef, \&log10 ] } );

If each data set has a different transformation, things are a bit more complicated. If the data sets are specified as arrays of vectors, vectors with transformations should be embedded in an array, with the last element the subroutine reference:

  @ds1 = ( [ $x, \&log10 ], $y );

With error bars, this looks like this:

  @ds1 = ( [ $x, $xerr, \&log10 ], $y );
  @ds1 = ( [ $x, $xn, $xp, \&log10 ], $y );

If the CWTrans attribute is used in conjunction with individual data set transformations, the latter will override it. To explicitly indicate that a specific data set element has no transformation (normally only needed if CWTrans is used to specify a default) set the transformation subroutine reference to CWundef. In this case, the entire quad of data element, negative error, positive error, and transformation subroutine must be specified to avoid confusion:

  [ $x, $xn, $xp, undef ]

Note that CW$xn and CW$xp may be undef. For symmetric errors, simply set both CW$xn and CW$xp to the same value.

For data sets passed as hashes, the subroutine reference is an element in the hashes; the name of the corresponding key is added to the list of keys, preceded by the CW& character:

  %ds1 = ( x => $x, xerr => $xerr, xtrans => \&log10,
           y => $y, yerr => $yerr );

  limits( [ \%ds1, \%ds2 ], 
         { VecKeys => [ 'x =xerr &xtrans',  'y =yerr' ] });
  limits( [ \%ds1 => 'x =xerr &xtrans', 'y =yerr' ] );

If the CWTrans attribute is specified, and a key name is also specified via the CWVecKeys attribute or individually for a data set element, the latter will take precedence. For example,

  $ds1{trans1} = \&log10;
  $ds1{trans2} = \&sqrt;

  # resolves to exp
  limits( [ \%ds1 ], { Trans => [ \&exp ] });

  # resolves to sqrt
  limits( [ \%ds1 ], { Trans => [ \&exp ], 
                      VecKeys => [ 'x =xerr &trans2' ] });

  # resolves to log10
  limits( [ \%ds1 => '&trans1' ], { Trans => [ \&exp ], 
                                   VecKeys => [ 'x =xerr &trans2' ] });

To indicate that a particular vector should have no transformation, use a blank key:

  limits( [ \%ds1 => ( 'x =xerr &', 'y =yerr' ) ], [\%ds2],
           { Trans => [ \&log10 ] } );

or set the hash element to CWundef:

  $ds1{xtrans} = undef;

Range Algorithms

Sometimes all you want is to find the minimum and maximum values. However, for display purposes, it's often nice to have clean range bounds. To that end, limits produces a range in two steps. First it determines the bounds, then it cleans them up.

To specify the bounding algorithm, set the value of the CWBounds key in the CW%attr hash to one of the following values:

MinMax

This indicates the raw minima and maxima should be used. This is the default.

Zscale

This is valid for two dimensional data only. The CWY values are sorted, then fit to a line. The minimum and maximum values of the evaluated line are used for the CWY bounds; the raw minimum and maximum values of the CWX data are used for the CWX bounds. This method is good in situations where there are spurious spikes in the CWY data which would generate too large a dynamic range in the bounds. (Note that the CWZscale algorithm is found in IRAF and DS9; its true origin is unknown to the author).

To specify the cleaning algorithm, set the value of the CWClean key in the CW%attr hash to one of the following values:

None

Perform no cleaning of the bounds.

RangeFrac

This is based upon the CWPGPLOT pgrnge function. It symmetrically expands the bounds (determined above) by a fractional amount:

    $expand = $frac * ( $axis->{max} - $axis->{min} );
    $min = $axis->{min} - $expand;
    $max = $axis->{max} + $expand;

The fraction may be specified in the CW%attr hash with the CWRangeFrac key. It defaults to CW0.05. Because this is a symmetric expansion, a limit of CW0.0 may be transformed into a negative number, which may be inappropriate. If the CWZeroFix key is set to a non-zero value in the CW%attr hash, the cleaned boundary is set to CW0.0 if it is on the other side of CW0.0 from the above determined bounds. For example, If the minimum boundary value is CW0.1, and the cleaned boundary value is CW-0.1, the cleaned value will be set to CW0.0. Similarly, if the maximum value is CW-0.1 and the cleaned value is CW0.1, it will be set to CW0.0. This is the default clean algorithm.

RoundPow

This is based upon the CWPGPLOT pgrnd routine. It determines a nice value, where nice is the closest round number to the boundary value, where a round number is 1, 2, or 5 times a power of 10.

User Specified Limits

To fully or partially override the automatically determined limits, use the Limits attribute. These values are used as input to the range algorithms.

The Limits attribute value may be either an array of arrayrefs, or a hash.

Arrays

The Limits value may be a reference to an array of arrayrefs, one per dimension, which contain the requested limits. The dimensions should be ordered in the same way as the datasets. Each arrayref should contain two ordered values, the minimum and maximum limits for that dimension. The limits may have the undefined value if that limit is to be automatically determined. The limits should be transformed (or not) in the same fashion as the data. For example, to specify that the second dimension's maximum limit should be fixed at a specified value:

  Limits => [ [ undef, undef ], [ undef, $max ] ]

Note that placeholder values are required for leading dimensions which are to be handled automatically. For convenience, if limits for a dimension are to be fully automatically determined, the placeholder arrayref may be empty. Also, trailing undefined limits may be omitted. The above example may be rewritten as:

  Limits => [ [], [ undef, $max ] ]

If the minimum value was specified instead of the maximum, the following would be acceptable:

  Limits => [ [], [ $min ] ]

If the data has but a single dimension, nested arrayrefs are not required:

  Limits => [ $min, $max ]

Hashes

Th Limits attribute value may be a hash; this can only be used in conjunction with the VecKeys attribute. If the data sets are represented by hashes which do not have common keys, then the user defined limits should be specified with arrays. The keys in the Limits hash should be the names of the data vectors in the VecKeys. Their values should be hashes with keys CWmin and CWmax, representing the minimum and maximum limits. Limits which have the value CWundef or which are not specified will be determined from the data. For example,

  Limits => { x => { min => 30 }, y => { max => 22 } }

Return Values

When called in a list context, it returns the minimum and maximum bounds for each axis:

  @limits = ( $min_1, $max_1, $min_2, $max_2, ... );

which makes life easier when using the env method:

  $window->env( @limits );

When called in a scalar context, it returns a hashref with the keys

  axis1, ... axisN

where CWaxisN is the name of the Nth axis. If axis names have not been specified via the CWVecKeys element of CW%attr, names are concocted as CWq1, CWq2, etc. The values are hashes with keys CWmin and CWmax. For example:

  { q1 => { min => 1, max => 2},
    q2 => { min => -33, max => 33 } }

Miscellaneous

Normally limits complains if hash data sets don't contain specific keys for error bars or transformation functions. If, however, you'd like to specify default values using the CW%attr argument, but there are data sets which don't have the data and you'd rather not have to explicitly indicate that, set the CWKeyCroak attribute to zero. For example,

  limits( [ { x => $x }, { x => $x1, xerr => $xerr } ], 
         { VecKeys => [ 'x =xerr' ] } );

will generate an error because the first data set does not have an CWxerr key. Resetting CWKeyCroak will fix this:

  limits( [ { x => $x }, { x => $x1, xerr => $xerr } ], 
         { VecKeys => [ 'x =xerr' ], KeyCroak => 0 } );

Diab Jerius, <djerius@cpan.org>

Copyright (C) 2004 by the Smithsonian Astrophysical Observatory

This software is released under the GNU General Public License. You may find a copy at <http://www.fsf.org/copyleft/gpl.html>.