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Add Axon recording #4021
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Add Axon recording #4021
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,66 @@ | ||
| from __future__ import annotations | ||
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| from pathlib import Path | ||
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| from spikeinterface.core.core_tools import define_function_from_class | ||
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| from .neobaseextractor import NeoBaseRecordingExtractor | ||
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| class AxonRecordingExtractor(NeoBaseRecordingExtractor): | ||
| """ | ||
| Class for reading Axon Binary Format (ABF) files. | ||
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| Based on :py:class:`neo.rawio.AxonRawIO` | ||
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| Supports both ABF1 (pClamp ≤9) and ABF2 (pClamp ≥10) formats. | ||
| Can read data from pCLAMP and AxoScope software. | ||
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| Parameters | ||
| ---------- | ||
| file_path : str or Path | ||
| The ABF file path to load the recordings from. | ||
| stream_id : str or None, default: None | ||
| If there are several streams, specify the stream id you want to load. | ||
| stream_name : str or None, default: None | ||
| If there are several streams, specify the stream name you want to load. | ||
| all_annotations : bool, default: False | ||
| Load exhaustively all annotations from neo. | ||
| use_names_as_ids : bool, default: False | ||
| Determines the format of the channel IDs used by the extractor. | ||
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| Examples | ||
| -------- | ||
| >>> from spikeinterface.extractors import read_axon | ||
| >>> recording = read_axon(file_path='path/to/file.abf') | ||
| """ | ||
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| NeoRawIOClass = "AxonRawIO" | ||
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| def __init__( | ||
| self, | ||
| file_path, | ||
| stream_id=None, | ||
| stream_name=None, | ||
| all_annotations: bool = False, | ||
| use_names_as_ids: bool = False, | ||
| ): | ||
| neo_kwargs = self.map_to_neo_kwargs(file_path) | ||
| NeoBaseRecordingExtractor.__init__( | ||
| self, | ||
| stream_id=stream_id, | ||
| stream_name=stream_name, | ||
| all_annotations=all_annotations, | ||
| use_names_as_ids=use_names_as_ids, | ||
| **neo_kwargs, | ||
| ) | ||
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| self._kwargs.update(dict(file_path=str(Path(file_path).absolute()))) | ||
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| @classmethod | ||
| def map_to_neo_kwargs(cls, file_path): | ||
| neo_kwargs = {"filename": str(file_path)} | ||
| return neo_kwargs | ||
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| read_axon = define_function_from_class(source_class=AxonRecordingExtractor, name="read_axon") |
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And this only has one stream?
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Yes, otherwise that test would not work.