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# HILBERT

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The HILBERT node is based on a numpy or scipy function. The description of that function is as follows: Compute the analytic signal, using the Hilbert transform. The transformation is done along the last axis by default. Params: x : array_like Signal data. Must be real. N : int Number of Fourier components. Default: x.shape[axis]. axis : int Axis along which to do the transformation. Default: -1. Returns: out : DataContainer type 'ordered pair', 'scalar', or 'matrix'
Python Code
from flojoy import OrderedPair, flojoy, Matrix, Scalar
import numpy as np

import scipy.signal

@flojoy
def HILBERT(
default: OrderedPair | Matrix,
N: int = 2,
axis: int = -1,
) -> OrderedPair | Matrix | Scalar:
"""The HILBERT node is based on a numpy or scipy function.

The description of that function is as follows:

Compute the analytic signal, using the Hilbert transform.

The transformation is done along the last axis by default.

Parameters
----------
x : array_like
Signal data.  Must be real.
N : int, optional
Number of Fourier components. Default: x.shape[axis].
axis : int, optional
Axis along which to do the transformation. Default: -1.

Returns
-------
DataContainer
type 'ordered pair', 'scalar', or 'matrix'
"""

result = scipy.signal.hilbert(
x=default.y,
N=N,
axis=axis,
)

if isinstance(result, np.ndarray):
result = OrderedPair(x=default.x, y=result)
else:
assert isinstance(
result, np.number | float | int
), f"Expected np.number, float or int for result, got {type(result)}"
result = Scalar(c=float(result))

return result


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