gamma
gamma( double n ) → double
return the gamma function for numbers greater than 0. This will
soon work for any number where gamma has a result (Apache Math v3 is needed for this).
Parameters
n - a double
Returns:
a double
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gamma( Object n ) → QDataSet
ge
ge( QDataSet ds1, QDataSet ds2 ) → QDataSet
element-wise function returns 1 where ds1>=ds2.
Parameters
ds1 - a QDataSet
ds2 - a QDataSet
Returns:
a QDataSet
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ge( Object ds1, Object ds2 ) → QDataSet
getProperty
getProperty( QDataSet ds, String name ) → Object
retrieve a property from the dataset. This was introduced for use
in the Data Mash Up tool.
Parameters
ds - the dataset
name - the property name
Returns:
the property or null (None) if the dataset doesn't have the property.
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getProperty( QDataSet ds, String propertyName, java.lang.Class clazz ) → Object
getQubeDimsForArray
getQubeDimsForArray( Object arg0 ) → int
return the length of each index of a n-D array. In Java these are
arrays of arrays, and no test is made to verify that the array is really
a qube. This was introduced when it appeared that Python/jpype was
producing arrays without the getClass method.
For example, if we have an array of 3 arrays, each having 5 elements,
then [ 3,5 ] is returned.
Parameters
arg0 - an array, or array of arrays, or array of array of arrays, etc.
Returns:
the n dimensions of each index of the array.
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greaterOf
greaterOf( QDataSet ds1, QDataSet ds2 ) → QDataSet
element-wise function returns the greater of ds1 and ds2.
If an element of ds1 or ds2 is fill, then the result is fill.
Parameters
ds1 - a QDataSet
ds2 - a QDataSet
Returns:
the bigger of the two, in the units of ds1.
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greaterOf( Object ds1, Object ds2 ) → QDataSet
grid
grid( QDataSet ds ) → QDataSet
Opposite of the flatten function, takes rank 2 bundle (x,y,z) and
makes a table from it z(x,y). This presumes that the rank 1 X and
Y data contain repeating elements for the rows and columns of the grid.
Parameters
ds - rank 2 bundle of X,Y, and Z data.
Returns:
rank 2 table.
See Also:
flatten(QDataSet)
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gridIrregularY
gridIrregularY( QDataSet t, QDataSet y, QDataSet z, QDataSet ytags ) → QDataSet
This finds sweeps of Y and interpolates T->Y->Z to make a regular
spectrogram T,yTags->Z[T,yTags]
This function was once known as "LvT" because it was used to create a spectrogram
of Flux(Time,Lshell) by interpolating along sweeps.
Parameters
t - the rank 1 x values (often time)
y - the rank 1 y values (for example, L)
z - the rank 1 z values at each y.
ytags - the rank 1 y tags for the result.
Returns:
the rank 2 spectrogram.
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gt
gt( QDataSet ds1, QDataSet ds2 ) → QDataSet
element-wise function returns 1 where ds1>ds2.
Parameters
ds1 - a QDataSet
ds2 - a QDataSet
Returns:
a QDataSet
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gt( Object ds1, Object ds2 ) → QDataSet
guessLabel
guessLabel( QDataSet ds ) → String
get the label, using the NAME when LABEL is not available.
Parameters
ds - the dataset
Returns:
the human-readable label.
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guessLabel( QDataSet ds, String deft ) → String
guessName
guessName( QDataSet ds ) → String
guess a name for the dataset, looking for NAME and then safeName(LABEL). The
result will be a Java-style identifier suitable for the variable.
Parameters
ds - the dataset
Returns:
the name or null if there is no NAME or LABEL
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guessName( QDataSet ds, String deft ) → String