ndx-acquisition-module 0.1.1

Extension to add acquisition module

ndx-acquisition-module

This extension is used to allow adding modules in nwbfile.acquisition, similarly to how nwbfile.processing allows adding modules.

More specifically, this allows creating a module that has TimeSeries and DynamicTable objects, then users can add this module.

This is in alpha development stages. Please use with discretion.

[TOC]

Requirement

The requirements and additional development requirements can be seen in pyproject.toml file.

Here are the minimum requirements:

• python >=3.8
• pynwb>=1.5.0,<3
• hdmf>=3.4.7,<4

Installation

Via pip

pip install ndx-acquisition-module

Via git

pip install git+https://gitlab.com/fleischmann-lab/ndx/ndx-acquisition-module

Usage

Main usage

from ndx_acquisition_module import AcquisitionModule

mod = AcquisitionModule(name="raw_mod", description="raw acq module")

# Add data objects to created AcquisitionModule
mod.add(time_series)  # add time series
mod.add(dynamic_table)  # add dynamic table

# Add AcquisitionModule to nwbfile.acquisition
nwbfile.add_acquisition(mod)

Full example

from datetime import datetime

import numpy as np
from dateutil import tz
from hdmf.common import DynamicTable, VectorData
from ndx_acquisition_module import AcquisitionModule

from pynwb import NWBHDF5IO, NWBFile, TimeSeries

# Create an example NWBFile
nwbfile = NWBFile(
  session_description="test session description",
  identifier="unique_identifier",
  session_start_time=datetime(2012, 2, 21, tzinfo=tz.gettz("US/Pacific")),
)

# Create time series
ts = TimeSeries(
  name="choice_series",
  description="raw choice series",
  data=np.random.randint(4, size=100),
  timestamps=(np.arange(100).astype("float") + 2) / 30,
  unit="-",
)

# Create dynamic table
tbl = DynamicTable(
  name="lookup_table",
  description="lookup table for `choice_series`",
  columns=[
    VectorData(
      name="lookup_id", description="ID to look up", data=[0, 1, 2, 3]
    ),
    VectorData(
      name="lookup_name",
      description="name of ID",
      data=["water", "earth", "fire", "air"],
    ),
  ],
)

# Create AcquisitionModule to store these objects
mod = AcquisitionModule(name="raw_mod", description="raw acq module")

# Add data objects to created AcquisitionModule
mod.add(ts)  # add time series
mod.add(tbl)  # add dynamic table

# Add AcquisitionModule to nwbfile.acquisition
nwbfile.add_acquisition(mod)

# Write the file to disk
filename = "test.nwb"
with NWBHDF5IO(path=filename, mode="w") as io:
  io.write(nwbfile)

API usage notes

With package installed

Currently to use mod.get(<object_name>) or mod[<object_name>], users would also need to install this package.

pip install git+https://gitlab.com/fleischmann-lab/ndx/ndx-acquisition-module

And import, using NWBHDF5IO(..., load_namespaces=True) would not be enough.

# new file completely
from pynwb import  NWBHDF5IO
from ndx_acquisition_module import AcquisitionModule
nwb = NWBHDF5IO('test.nwb', mode='r').read() # notice `load_namepsaces` is not needed

print(nwb.acquisition['raw_mod'])

which outputs:

raw_mod ndx_acquisition_module.AcquisitionModule at 0x139742592581104
Fields:
  data_interfaces: {
    choice_series <class 'pynwb.base.TimeSeries'>,
    lookup_table <class 'hdmf.common.table.DynamicTable'>
  }

To access:

nwb.acquisition['raw_mod']['lookup_table']
nwb.acquisition['raw_mod']['choice_series']

Without package installed

Otherwise, if ndx-acquisition-module is not installed, accessing the inside objects have to be done based on types:

# new file completely
from pynwb import  NWBHDF5IO
nwb = NWBHDF5IO('test.nwb', mode='r', load_namespaces=True).read() # notice `load_namepsaces` is NEEDED

print(nwb.acquisition['raw_mod'])

which outputs:

raw_mod abc.AcquisitionModule at 0x140252603705728
Fields:
  description: raw acq module
  dynamic_tables: {
    lookup_table <class 'hdmf.common.table.DynamicTable'>
  }
  nwb_data_interfaces: {
    choice_series <class 'pynwb.base.TimeSeries'>
  }

To access:

nwb.acquisition['raw_mod'].dynamic_tables['lookup_table']
nwb.acquisition['raw_mod'].nwb_data_interfaces['choice_series']

TODOs

• Figure out how to allow consistent access even if package is not installed, so that using load_namespaces=True is sufficient.
• Edit sphinx deploy stage
• Publish on pypi
• Publish on conda

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This extension was created using ndx-template.