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@@ -0,0 +1,40 @@
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+import h5py
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+import numpy as np
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+
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+def get_all_data_from_level_h5_rec(filename, group_name, markers, all_strings_mk, spikes, all_strings_sp):
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+ """
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+ This function recursively reads data from an HDF5 file.
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+
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+ Parameters:
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+ filename (str): A string that identifies the HDF5 file from which to extract data.
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+ group_name (str): The group from which to start extracting data.
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+ data (list, optional): A list to add and store the extracted data. Defaults to None.
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+ all_strings (list, optional): A list to add and store the paths of the extracted datasets. Defaults to None.
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+
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+ Returns:
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+ data (list): A list containing the extracted data for each dataset.
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+ all_strings (list): A list containing the paths of the extracted datasets.
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+
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+ authors: Stefano Diomedi and Francesco E. Vaccari
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+ date: 03/2024
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+ """
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+
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+ def visitor_func(name, node):
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+ if isinstance(node, h5py.Group):
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+ node.visititems(visitor_func)
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+ if isinstance(node, h5py.Dataset):
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+ # ...read the data from the dataset and append it to the 'data' list.
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+ if name == 'event_markers' and node.name not in all_strings_mk:
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+ markers.append(node[()])
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+ # ...append the path of the dataset to the 'all_strings' list.
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+ all_strings_mk.append(node.name)
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+ if name == 'spike_trains' and node.name not in all_strings_sp:
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+ spikes.append(node[()])
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+ all_strings_sp.append(node.name)
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+
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+
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+
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+ with h5py.File(filename, 'r') as f:
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+ f[group_name].visititems(visitor_func)
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+
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+ return markers, all_strings_mk, spikes, all_strings_sp
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