org.autoplot.jythonsupport.JythonOps

Contains operations that are only available to Jython code, and is dependent on the jython libraries.

JythonOps( )

addToSearchPath

download the jar file resource, unpack it, and add it to the search path. Note such scripts will not work with Webstart releases! The code is only loaded once per session, so Autoplot must be restarted if the library is updated. Here is an example use:

import sys
addToSearchPath( sys.path, 'http://www-us.apache.org/dist//commons/math/binaries/commons-math3-3.6.1-bin.zip/commons-math3-3.6.1/commons-math3-3.6.1.jar', monitor )
from org.apache.commons.math3.distribution import BetaDistribution
beta= BetaDistribution(2,5)

xx= linspace(0,1.0,100)
yy= zeros(100)
for i in indgen(100):
    yy[i]= beta.density(xx[i].value())
#yy= map( xx, beta.density )
plot( xx, yy )

Parameters

Returns:

See Also:

addToSearchPath

download the jar file resource, unpack it, and add it to the search path. Note such scripts will not work with Webstart releases! The code is only loaded once per session, so Autoplot must be restarted if the library is updated. Here is an example use:

import sys
addToSearchPath( sys.path, 'http://www-us.apache.org/dist//commons/math/binaries/commons-math3-3.6.1-bin.zip/commons-math3-3.6.1/commons-math3-3.6.1.jar', monitor )
from org.apache.commons.math3.distribution import BetaDistribution
beta= BetaDistribution(2,5)

xx= linspace(0,1.0,100)
yy= zeros(100)
for i in indgen(100):
    yy[i]= beta.density(xx[i].value())
#yy= map( xx, beta.density )
plot( xx, yy )

Parameters

Returns:

See Also:

applyLambda

Apply the Python function, typically a lambda function, to each element of the dataset. For example:

 xx= dindgen( 6 ) 
 yy= applyLambda( xx, lambda x : x**2 )
 plot( xx, yy )

Parameters

Returns:

applyLambda

Apply the Python function, typically a two-argument lambda function, to each element of the dataset. For example:

 xx= dindgen( 6 ) 
 yy= ones( 6 )
 yy= applyLambda( xx, yy, lambda x,y : x+y )
 plot( xx, yy )

Parameters

Returns:

applyLambda

Apply the Python function, typically a three-argument lambda function, to each element of the dataset. For example:

 xx= dindgen( 6 ) 
 yy= ones( 6 )
 yy= applyLambda( xx, yy, lambda x,y : x+y )
 plot( xx, yy )

Parameters

Returns:

coerceToDs

color

get the color from the python object, for example:

• Color.RED
• 16711680 (int for red)
• 16711680. (float from QDataSet)
• (255,0,0)
• (1.0,0,0)

Parameters

Returns:

currentLine

return the current line in the Jython script as <filename>:<linenum> or ??? if this cannot be done. Note calls to this will collect a stack trace and will affect performance.

Returns:

See Also:

dataset

coerce a python array or list into a QDataSet.

Parameters

Returns:

See Also:

dataset

coerce Python objects like arrays Lists and Arrays into a QDataSet.

Parameters

Returns:

See Also:

datum

coerce python objects to Datum

Parameters

Returns:

See Also:

datumRange

coerce python objects to DatumRange See http://jfaden.net:8080/hudson/job/autoplot-test029/ This supports:

• 2-element rank 1 QDataSet
• Strings like ("5 to 15 s" or "2014-01-01")
• 2-element arrays and lists

Parameters

Returns:

datumRange

coerce two python objects to DatumRange

Parameters

Returns:

datumRange

coerce python objects to DatumRange, when the units are known.

Parameters

Returns:

findJavaPathRoots

search the folder for the names of packages. This could trivially return "org", but instead navigate to find a more precise name, or names like "org.autoplot" and "org.das2". Note this is a bit like a recursive find command, but note that some Java assumptions like classnames being capitalized and packages being lower case are encoded.

Parameters

Returns:

See Also:

formUri

convenience method for creating URIs.

Parameters

Returns:

invokeSometime

run the function on a different thread

Parameters

Returns:

invokeSometime

run the function on a different thread

Parameters

Returns:

putProperty

converts types often seen in Jython codes to the correct type. For example, ds= putProperty( ds, 'UNITS', 'seconds since 2012-01-01'). Note USER_PROPERTIES can be a Python dictionary and it will be converted to a Java Map.

Parameters

Returns:

validateParam

validate the parameter value against the constraint. This will raise an exception when the constraint is not met, or returns a modified value conforming (with format). See https://github.com/autoplot/dev/blob/master/demos/2025/20250108/getParamsValidation.jy

Parameters

Returns:

See Also:

validateParam

validate the parameter, possibly modifying it to match constraints. For example, a double less than the minimum would throw an IllegalArgumentException. However a time range is reformatted to match the format, and a double can be formatted to limit resolution. Constraints include:

• regex -- regular expression which must be matched.
• min -- minimum value allowed, and for timerange parameter this is interpretted as time range.
• max -- maximum value allowed, and for timerange parameter this is interpretted as time range.
• format -- if URI template with $Y etc, then reformat with this, if starts with % then reformat double.
• values -- list/array of allowed values

Parameters

Returns:

See Also:

validateParam

validate the parameter value against the constraint. This will raise an exception when the constraint is not met, or returns a modified value conforming (with format).

Parameters

Returns:

See Also: