denoise

denoise(source, threshold=1e-12, name=None, metadata=None)

Replace values whose absolute magnitude is tiny with zero.

Parameters

source : Panel | Graph

Input numeric Panel or single-output Graph. threshold : float, default 1e-12

Non-negative magnitude below which values are replaced with zero. name : str | None, default None

Optional graph-node name. A generated name is used when omitted. metadata : Mapping[str, Any] | None, default None

Optional metadata stored on the graph node.

Returns

Graph

Lazy single-output graph. Call .compute() to materialize a Panel.

Examples

import pandas as pd

from bagelquant_core import Domain, Panel
from bagelquant_core.transformer import denoise

domain = Domain(calendar=pd.to_datetime(["2024-01-02", "2024-01-03", "2024-01-04"]), universe=["a", "b"])
source = Panel.from_domain(pd.DataFrame({"a": [1.0, 2.0, 4.0], "b": [2.0, 3.0, 8.0]}, index=domain.sessions), domain)

result = denoise(source, threshold=1e-6).compute().data
print(result)

Notes

Rows represent time and columns represent assets.