In [1]:

cd C:\Users\micha\Dropbox\Catalyst Neuro\repos\nwb-jupyter-widgets

In [2]:

from pynwb import NWBHDF5IO
from nwbwidgets.brains import HumanElectrodesPlotlyWidget
from nwbwidgets.utils.timeseries import get_timeseries_tt
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

from datetime import datetime
from ndx_events import LabeledEvents, AnnotatedEventsTable, Events

io = NWBHDF5IO(r'C:\Users\micha\Desktop\Brunton Lab Data\H5\subj_01_day_3.nwb', mode='r')
nwb = io.read()

In [3]:

HumanElectrodesPlotlyWidget(nwb.electrodes)

HumanElectrodesPlotlyWidget(children=(FigureWidget({
    'data': [{'color': 'lightgray',
              'hoveri…

In [ ]:

In [4]:

for i, n in enumerate([0]):
    print(i, n)

0 0

In [5]:

a = np.array([x for x in range(3)])

In [6]:

Out[6]:

array([0, 1, 2])

In [7]:

b = np.array([1, 1, 1])

In [8]:

a[b == 1]

Out[8]:

array([0, 1, 2])

In [9]:

list(nwb.electrodes.colnames)

Out[9]:

['x',
 'y',
 'z',
 'imp',
 'location',
 'filtering',
 'group',
 'group_name',
 'standard_deviation',
 'kurtosis',
 'median_deviation',
 'good',
 'low_freq_R2',
 'high_freq_R2']

In [10]:

nwb.electrodes['good'][:]

Out[10]:

array([ True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True])

In [11]:

type(nwb.electrodes['good'][0])

Out[11]:

numpy.bool_

In [12]:

isinstance(nwb.electrodes['x'][0], np.float)

Out[12]:

True

In [13]:

type(nwb.electrodes['z'][0])

Out[13]:

numpy.float64