from typing import Dict
import numpy as np
[docs]
def load_nwb(filepath: str) -> Dict:
"""
Load data from NWB structure. File should be string path to a .nwb file
Parameters
----------
filepath : str, path-like
Path to NWB data file.
Returns
-------
loaded_dict : dict from string to numpy array or float
Keys: 'data' - loaded neural recording (time*channels), 'data_f' - sampling rate of data,
'wav' - loaded audio recording (time*channels), wav_f' - sampling rate of sound,
'labels' - array of labels for the channel streams
"""
try:
from pynwb import NWBHDF5IO
except Exception:
raise Exception('Missing package pynwb which is required for loading data from NWB format. Please '
'install it with "pip install pynwb"')
with NWBHDF5IO(filepath, "r") as reader:
loaded_data = reader.read()
loaded_dict = {}
loaded_dict['data'] = loaded_data.acquisition['ieeg'].data[:]
loaded_dict['data_f'] = loaded_data.acquisition['ieeg'].rate
loaded_dict['wav'] = loaded_data.acquisition['audio'].data[:]
loaded_dict['wav_f'] = loaded_data.acquisition['audio'].rate
loaded_dict['labels_data'] = np.array(['NWB1'] * loaded_dict['data'].shape[1])
loaded_dict['labels_wav'] = np.array([f'audio_{i}' for i in range(loaded_dict['wav'].shape[1])])
return loaded_dict