abs

abs( QDataSet ds1 ) → QDataSet

element-wise abs. For vectors, this returns the length of each element. Note Jython conflict needs to be resolved. Note the result of this will have dimensionless units, and see magnitude for the more abstract operator. For ratio-type units (Stevens) like "kms", the unit is preserved.

Parameters

ds1 - the dataset

Returns:

dataset with the same geometry

See Also:

Ops_p.mdOps#magnitude(QDataSet) magnitude(ds), which preserves the sign.


search for examples view on GitHub view source

accum

accum( QDataSet accumDs, QDataSet ds ) → QDataSet

return an array that is the running sum of each element in the array, starting with the value accum. Result[i]= accum + total( ds[0:i+1] )

Parameters

accumDs - the initial value of the running sum. Last value of Rank 0 or Rank 1 dataset is used, or may be null.
ds - each element is added to the running sum

Returns:

the running of each element in the array.

See Also:

Ops_d.md#diff(QDataSet)


search for examples view on GitHub view source

acos

acos( QDataSet ds ) → QDataSet

element-wise arccos.

Parameters

ds -

Returns:

org.das2.qds.QDataSet

search for examples view on GitHub view source

and

and( QDataSet ds1, QDataSet ds2 ) → QDataSet

element-wise logical and function. non-zero is true, zero is false.

Parameters

ds1 -
ds2 -

Returns:

org.das2.qds.QDataSet

See Also:

Ops_b.md#bitwiseAnd(QDataSet, QDataSet)


search for examples view on GitHub view source

appendEvents

appendEvents( QDataSet ev1, QDataSet ev2 ) → QDataSet

provide explicit method for appending two events scheme datasets. This will probably be deprecated, and this was added at 17:30 for a particular need.

Parameters

ev1 -
ev2 -

Returns:

org.das2.qds.QDataSet

search for examples view on GitHub view source

applyUnaryOp

applyUnaryOp( QDataSet ds1, org.das2.qds.ops.Ops.UnaryOp op ) → MutablePropertyDataSet

apply the unary operation (such as "cos") to the dataset, propagating DEPEND_0 through DEPEND_3 are propagated. TODO: This should be reviewed for speed (iterator is known to be slow) and other metadata that can be preserved.

Parameters

ds1 - the argument
op - the operation for each element.

Returns:

the result the the same geometry.

search for examples view on GitHub view source

asin

asin( QDataSet ds ) → QDataSet

element-wise arcsin.

Parameters

ds -

Returns:

org.das2.qds.QDataSet

search for examples view on GitHub view source

atan

atan( QDataSet ds ) → QDataSet

element-wise atan.

Parameters

ds -

Returns:

org.das2.qds.QDataSet

search for examples view on GitHub view source

atan2

atan2( QDataSet y, QDataSet x ) → QDataSet

element-wise atan2, 4-quadrant atan. From the Java atan2 documentation: "Returns the angle theta from the conversion of rectangular coordinates ( x,  y) to polar coordinates (r, theta). This method computes the phase theta by computing an arc tangent of y/x in the range of -pi to pi."

Note different languages have different argument order. Microsoft Office uses atan2(x,y); IDL uses atan(y,x); Matlab uses atan2(y,x); and NumPy uses arctan2(y,x).

Parameters

y - the y values
x - the x values

Returns:

angles between -PI and PI

See Also:

java.lang.Math#atan2(double, double)


search for examples view on GitHub view source

autoHistogram

autoHistogram( QDataSet ds ) → QDataSet

AutoHistogram is a one-pass self-scaling histogram, useful in autoranging data. The data is fed into the routine, and bins will grow as more and more data is added, to result in about 100 bins. For example, if the initial binsize is 1.0 unit, and the data extent is 0-200, then bins are combined so that the new binsize is 2.0 units and 100 bins are used.

Parameters

ds - rank N dataset (all ranks are supported).

Returns:

rank 1 dataset

search for examples view on GitHub view source