start of session 2 code

Author: markschatza

.ipynb_checkpoints/Session_2-checkpoint.ipynb

@@ -0,0 +1,156 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Update your repository with new stuff\n",
+    "#### Note this is technically not good practice here, but we'll worry about that later\n",
+    "\n",
+    "- Open git bash to your learning python folder\n",
+    "\n",
+    "- git checkout -b session2\n",
+    "\n",
+    "- git remote add upstream https://github.com/tne-lab/learning-python\n",
+    "\n",
+    "- git fetch upstream\n",
+    "\n",
+    "- git merge upstream/master --strategy-option theirs\n",
+    "\n",
+    "### Open Jupyter Notebook and open Session_2.ipynb\n",
+    "\n",
+    "\n",
+    "# Today we will look at events first\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "loading events...\n",
+      "events loaded in!\n",
+      "Loading continuous data...\n",
+      "data loaded in!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import OpenEphys\n",
+    "\n",
+    "cwd = os.getcwd() # Gets your current working directory\n",
+    "\n",
+    "pathToEvents = cwd + '\\\\data\\\\Sample_Data\\\\all_channels.events' # All events are stored here\n",
+    " \n",
+    "allEvents = OpenEphys.load(pathToEvents)\n",
+    "print('events loaded in!')\n",
+    "\n",
+    "pathToData = cwd + '\\\\data\\\\Sample_Data\\\\100_CH1.continuous' # You can change this to look at other channels!\n",
+    " \n",
+    "data = OpenEphys.load(pathToData)\n",
+    "print('data loaded in!')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'dict'>\n",
+      "header\n",
+      "channel\n",
+      "timestamps\n",
+      "eventType\n",
+      "nodeId\n",
+      "eventId\n",
+      "recordingNumber\n",
+      "sampleNum\n"
+     ]
+    }
+   ],
+   "source": [
+    "# What is events?\n",
+    "print(type(allEvents))\n",
+    "\n",
+    "# Lets look at what is stored in here.\n",
+    "for key in allEvents.keys():\n",
+    "    print(key)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Build a class to store event data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "class Events:\n",
+    "    # Put code here (use Con class below as a reference!)\n",
+    "        \n",
+    "class Con:\n",
+    "    def __init__(self, data):\n",
+    "        self.data = data['data'] # Volatage data\n",
+    "        self.fs = float(data['header']['sampleRate']) # Sample Rate\n",
+    "        self.interpTs(data['timestamps']) # Interpolate timestamps for all data points (Only has 1 time stamp for each buffer of 1024 data points)\n",
+    "\n",
+    "    def interpTs(self, ts):\n",
+    "        tsStart = ts[0]\n",
+    "        tsEnd = ts[len(ts)-1]\n",
+    "        self.ts = np.linspace(tsStart, tsEnd, len(ts) * 1024) # Creates the array of timestamps\n",
+    "        i = 0\n",
+    "        for t in self.ts:\n",
+    "            self.ts[i] = t - tsStart # Zero out the timestamps, just makes it look better when graphing/explaining\n",
+    "            i = i + 1\n",
+    "        self.tsStart = tsStart # Send the ts start to event data\n",
+    "        \n",
+    "con = Con(data)\n",
+    "events = Events(allEvents, con.tsStart)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}