rly

import pynwb
import ndx_franklab_novela

with pynwb.NWBHDF5IO('beans20190718.nwb', 'r') as io:
    nwbfile = io.read()
    orig_eseries = nwbfile.acquisition['e-series']
    n_timestamps = 4000000  # / 20000 Hz sampling rate = 200 seconds
    data = orig_eseries.data[0:n_timestamps, :]
    ts = orig_eseries.timestamps[0:n_timestamps]
    electrodes = nwbfile.create_electrode_table_region(

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import datetime
import numpy as np
from pynwb import NWBFile, NWBHDF5IO, validate


nwbfile = NWBFile(
    session_description='session_description',
    identifier='identifier',
    session_start_time=datetime.datetime.now(datetime.timezone.utc),
)

rly

from pynwb import NWBFile, NWBHDF5IO
from pynwb.ecephys import LFP, ElectricalSeries
import numpy as np
import datetime


# Create a test file
nwb = NWBFile(
    session_description='session_description',
    identifier='identifier',

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rly

from pynwb import NWBHDF5IO
import pynwb
from hdmf.data_utils import GenericDataChunkIterator
from hdmf.backends.hdf5.h5_utils import H5DataIO

filepath = r"D:\GiocomoData_dandiset53\000053\sub-npI1\sub-npI1_ses-20190413_behavior+ecephys.nwb"


class H5DatasetDataChunkIterator(GenericDataChunkIterator):
    """A data chunk iterator that reads chunks over the 0th dimension of an HDF5 dataset up to a max length.

rly

import pynwb
from pynwb.spec import NWBDatasetSpec, NWBGroupSpec, NWBNamespace

from hdmf.spec import NamespaceCatalog
from hdmf.build import TypeMap


def print_namespace_versions(type_map):
    """Print the namespace name and version of all namespaces in the given type map."""
    for ns_name in type_map.namespace_catalog.namespaces:

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rly

from pynwb import NWBHDF5IO, NWBFile


def get_neurodata_type_objs_io(io: NWBHDF5IO, neurodata_type: str, namespace: str):
    """Return all PyNWB objects in the file that have a neurodata type from a namespace.

    This works regardless of whether the extension was imported earlier in the python execution.

    All objects that are instances of the class associated with the given neurodata_type in the
    given namespace will be returned. This includes objects that are instances of a subclass.

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rly

import glob
import h5py
import numpy as np
import argparse
import pynwb


STR_DTYPE = h5py.special_dtype(vlen=str)