Comma-Separated Values (CSV) files

Install NeuroConv. No extra dependencies are necessary for reading CSV.

pip install neuroconv

Convert CSV data to NWB using CsvTimeIntervalsInterface.

The CSV file must contain a header row that contains at least the column names “start_time” and “stop_time”. The CSV data will be saved as trials in the NWB file.

>>> from datetime import datetime
>>> from zoneinfo import ZoneInfo
>>> from pathlib import Path
>>> from neuroconv.datainterfaces import CsvTimeIntervalsInterface
>>>
>>> file_path = f"{TEXT_DATA_PATH}/trials.csv"
>>> # Change the file_path to the location of the file in your system
>>> interface = CsvTimeIntervalsInterface(file_path=file_path, verbose=False)
>>>
>>> # Extract what metadata we can from the source files
>>> metadata = interface.get_metadata()
>>> # Add the time zone information to the conversion
>>> session_start_time = datetime(2020, 1, 1, 12, 30, 0, tzinfo=ZoneInfo("US/Pacific"))
>>> metadata["NWBFile"] = dict(session_start_time=session_start_time)
>>>
>>> nwbfile_path = f"{path_to_save_nwbfile}" # This should be something like: "./saved_file.nwb"
>>> nwbfile = interface.run_conversion(nwbfile_path=nwbfile_path, metadata=metadata)