binsWithin

binsWithin( QDataSet ds, QDataSet bounds ) → QDataSet

return non-zero where the bins of ds are within the bounds.

Parameters

ds - rank 2 bins dataset
bounds - a rank 1 bounding box.

Returns:

rank 1 dataset containing non-zero where the condition is true.

See Also:

Ops_w.md#within(QDataSet, QDataSet)


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binsWithout

binsWithout( QDataSet ds, QDataSet bounds ) → QDataSet

return non-zero where the bins of ds are outside of the bounds.

Parameters

ds - rank 2 bins dataset
bounds - a rank 1 bounding box.

Returns:

rank 1 dataset containing non-zero where the condition is true.

See Also:

binsWithin(QDataSet, QDataSet)


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bitwiseAnd

bitwiseAnd( QDataSet ds1, QDataSet ds2 ) → QDataSet

bitwise AND operator treats the data as (32-bit) integers, and returns the bit-wise AND.

Parameters

ds1 -
ds2 -

Returns:

bit-wise AND.

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bitwiseOr

bitwiseOr( QDataSet ds1, QDataSet ds2 ) → QDataSet

bitwise OR operator treats the data as (32-bit) integers, and returns the bit-wise OR.

Parameters

ds1 -
ds2 -

Returns:

bit-wise OR.

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bitwiseXor

bitwiseXor( QDataSet ds1, QDataSet ds2 ) → QDataSet

bitwise XOR (exclusive or) operator treats the data as (32-bit) integers, and returns the bit-wise XOR. Note there is no bitwise not, and this is because there are no shorts, bytes. So to implement bitwise not for a 16 bit number you would have bitwiseXor( ds, dataset(2**16-1) ).

Parameters

ds1 -
ds2 -

Returns:

bit-wise XOR.

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buckshotInterpolate

buckshotInterpolate( QDataSet xyz, QDataSet data, QDataSet xinterp, QDataSet yinterp, QDataSet zinterp ) → QDataSet

3-D interpolation performed by tesselating the space (with 4-point tetrahedra) and doing interpolation. NOTE: this does not check units.

Parameters

xyz - rank 2 bundle of x,y,z data.
data - rank 1 dependent data, a function of x,y,z.
xinterp - the x locations to interpolate, rank 0, 1, or 2.
yinterp - the y locations to interpolate
zinterp - the z locations to interpolate

Returns:

the interpolated data.

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butterworth

butterworth( QDataSet in, int order, Datum f, boolean lowp ) → QDataSet

Perform Butterworth filter for high pass or low pass.

Parameters

in - the rank 1 waveform
order - the order of the filter (2,3,4)
f - the frequency, e.g. Units.hertz.createDatum(10)
lowp - true for low pass, false for high pass.

Returns:

the dataset in the same form.

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bytarr

bytarr( int len0 ) → QDataSet

create a dataset filled with zeros, stored in unsigned bytes. Each element can contain numbers from 0 to 255.

Parameters

len0 - the zeroth dimension length

Returns:

rank 1 dataset filled with zeros.

See Also:

Ops_d.md#dblarr(int)


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