stream_data_BruntonLab.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pynwb import NWBHDF5IO\n",
    "\n",
    "from nwbwidgets import nwb2widget\n",
    "from nwbwidgets.brains import HumanElectrodesPlotlyWidget\n",
    "from nwbwidgets.utils.timeseries import get_timeseries_tt\n",
    "\n",
    "import requests\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from datetime import datetime\n",
    "from ndx_events import LabeledEvents, AnnotatedEventsTable, Events\n",
    "\n",
    "from brunton_lab_to_nwb.brunton_widgets import ETAWidget, BruntonDashboard, AllPositionTracesPlotlyWidget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:90% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_s3_url(url):\n",
    "    s3_url = requests.request(url=url, method='head').url\n",
    "    return s3_url[:s3_url.index('?')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "url = 'https://girder.dandiarchive.org/api/v1/item/6049c26702cb75004f0af8d1/download'\n",
    "io = NWBHDF5IO(get_s3_url(url), mode='r', load_namespaces=True, driver='ros3')\n",
    "nwb = io.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "BruntonDashboard(nwb, 'stream')"
   ]
  }
 ],
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   "name": "python3"
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
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