spectrochempy.PeakFindingResult

class PeakFindingResult(peaks, properties=None, *, sample_index=None, sample_position=None, sample_height=None)

Structured result returned by find_peaks.

Parameters:

• peaks (NDDataset or None) – Dataset containing identified peak positions and heights.

• properties (dict or None) – Peak properties returned by scipy.signal.find_peaks.

Notes

The object is intentionally dependency-light. It exposes Python-native table helpers and does not require pandas.

Attributes Summary

peaks
properties
sample_index
sample_position
sample_height
table	Return a dependency-light tabular view of the detected peaks.

Methods Summary

to_csv(path, *[, delimiter])	Write peak information to a CSV file.
to_dict()	Return peak information as a list of dictionaries.

Attributes Documentation

peaks

properties

sample_index

sample_position

sample_height

table

Return a dependency-light tabular view of the detected peaks.

Methods Documentation

to_csv(path, *, delimiter=',')

Write peak information to a CSV file.

Parameters:

• path (str or pathlib.Path) – Destination path.

• delimiter (str, default=’,’) – CSV delimiter.

Returns:

pathlib.Path – The written path.

to_dict()

Return peak information as a list of dictionaries.

Each dictionary contains index (the row identifier), refined position and height, available discrete sample fields, plus any per-peak properties whose length matches the number of detected peaks. Values keep their native units when they are unit-bearing quantities.

Examples using spectrochempy.PeakFindingResult