plotter.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Acknowldedgements\n",
    "\n",
    "The code below is based on a Jupyter notebook found [here](http://nbviewer.jupyter.org/gist/damontallen/5721739). Thanks!\n",
    "\n",
    "---\n",
    "\n",
    "arduino code:\n",
    "\n",
    "// analog-plot\n",
    "// \n",
    "// Read analog values from A0 and A1 and print them to serial port.\n",
    "//\n",
    "// electronut.in\n",
    "\n",
    "#include \"Arduino.h\"\n",
    "\n",
    "void setup()\n",
    "{\n",
    "  // initialize serial comms\n",
    "  Serial.begin(9600); \n",
    "}\n",
    "\n",
    "void loop()\n",
    "{\n",
    "  // read A0\n",
    "  int val1 = analogRead(0);\n",
    "  // read A1\n",
    "  int val2 = analogRead(1);\n",
    "  // print to serial\n",
    "  Serial.print(val1);\n",
    "  Serial.print(\" \");\n",
    "  Serial.print(val2);\n",
    "  Serial.print(\"\\n\");\n",
    "  // wait \n",
    "  delay(50);\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting Arduino Data in Jupyter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Ubuntu, made this work by running:\n",
    "\n",
    "> pip install pyserial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib qt\n",
    "\n",
    "import sys, serial\n",
    "import numpy as np\n",
    "from time import sleep\n",
    "from collections import deque\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# class that holds analog data for N samples\n",
    "class AnalogData:\n",
    "  # constr\n",
    "  def __init__(self, maxLen):\n",
    "    self.ax = deque([0.0]*maxLen)\n",
    "    self.ay = deque([0.0]*maxLen)\n",
    "    self.maxLen = maxLen\n",
    "\n",
    "  # ring buffer\n",
    "  def addToBuf(self, buf, val):\n",
    "    if len(buf) < self.maxLen:\n",
    "      buf.append(val)\n",
    "    else:\n",
    "      buf.pop()\n",
    "      buf.appendleft(val)\n",
    "\n",
    "  # add data\n",
    "  def add(self, data):\n",
    "    assert(len(data) == 2)\n",
    "    self.addToBuf(self.ax, data[0])\n",
    "    self.addToBuf(self.ay, data[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# plot class\n",
    "class AnalogPlot:\n",
    "  # constr\n",
    "  def __init__(self, analogData):\n",
    "    # set plot to animated\n",
    "    self.fig, axplt = plt.subplots() #plt.ion() \n",
    "    self.axline, = axplt.plot(analogData.ax, markersize=1.)\n",
    "    self.ayline, = axplt.plot(analogData.ay, markersize=1.)\n",
    "    plt.ylim([0, 1023]) \n",
    "    #plt.ylim([0, 300]) \n",
    "    \n",
    "  # update plot\n",
    "  def update(self, analogData):\n",
    "    self.axline.set_ydata(analogData.ax)\n",
    "    self.ayline.set_ydata(analogData.ay)\n",
    "    self.fig.canvas.draw()\n",
    "    self.fig.canvas.flush_events()\n",
    "    #plt.draw()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# main() function\n",
    "def main(dev):\n",
    "\n",
    "    strPort = dev\n",
    "\n",
    "    # plot parameters\n",
    "    analogData = AnalogData(100)\n",
    "    analogPlot = AnalogPlot(analogData)\n",
    "    print('plotting data...')\n",
    "\n",
    "    # open serial port\n",
    "    ser = serial.Serial(strPort, 9600)\n",
    "\n",
    "    while True:\n",
    "        try:\n",
    "            #.strip(b'\\x00').decode('ascii') added for IPython3\n",
    "            line = ser.readline().strip(b'\\x00').decode('ascii')\n",
    "            data = [float(val) for val in line.split()]\n",
    "            if(len(data) == 2):\n",
    "                analogData.add(data)\n",
    "                #analogData.add(data/1024.*5.)\n",
    "                analogPlot.update(analogData)\n",
    "        except: #Interrupt the kernal to exit\n",
    "            print('Exiting')\n",
    "            break\n",
    "    \n",
    "    # close serial\n",
    "    ser.flush()\n",
    "    ser.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#Execute prior to plugging in the arduino\n",
    "pre_list = !ls /dev/tty*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your device id is /dev/ttyUSB0\n"
     ]
    }
   ],
   "source": [
    "#Execute after plugging in the arduino\n",
    "post_list = !ls /dev/tty*\n",
    "for tty_dev in post_list:\n",
    "    if tty_dev not in pre_list:\n",
    "        print(\"Your device id is {}\".format(tty_dev))\n",
    "        dev = tty_dev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "plotting data...\n",
      "Exiting\n"
     ]
    },
    {
     "ename": "error",
     "evalue": "(5, 'Input/output error')",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31merror\u001b[0m                                     Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-7-3e439ee71da9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdev\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m#it will take a moment for the plot to be generated ...\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-4-768d98708601>\u001b[0m in \u001b[0;36mmain\u001b[1;34m(dev)\u001b[0m\n\u001b[0;32m     26\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     27\u001b[0m     \u001b[1;31m# close serial\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 28\u001b[1;33m     \u001b[0mser\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mflush\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     29\u001b[0m     \u001b[0mser\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/dwblair/anaconda3/lib/python3.5/site-packages/serial/serialposix.py\u001b[0m in \u001b[0;36mflush\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    558\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_open\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    559\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mportNotOpenError\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 560\u001b[1;33m         \u001b[0mtermios\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtcdrain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfd\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    561\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    562\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mreset_input_buffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31merror\u001b[0m: (5, 'Input/output error')"
     ]
    }
   ],
   "source": [
    "main(dev) #it will take a moment for the plot to be generated ... "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyAAAAJYCAYAAACadoJwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image at 0x4ee08d0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "PWD = !pwd\n",
    "Image(filename=PWD[0]+'/figure_2.png')\n",
    "#Image of plot output with 1 variable resister connected and the other line floating"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changes made due to the differences between IPython3 and IPython"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###The serial data collection was modified to run in IPython3 with the addition of\n",
    "\n",
    "    #.strip(b'\\x00').decode('ascii') added to...\n",
    "    line = ser.readline().strip(b'\\x00').decode('ascii')\n",
    "    #in main()\n",
    "\n",
    "###to deal with the differences between python3-serial and python-serial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Arduino Code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This code was copied from [Plotting real-time data from Arduino using Python](http://electronut.in/plotting-real-time-data-from-arduino-using-python/)\n",
    "\n",
    "    // analog-plot\n",
    "    // \n",
    "    // Read analog values from A0 and A1 and print them to serial port.\n",
    "    //\n",
    "    // electronut.in\n",
    "\n",
    "    #include \"Arduino.h\"\n",
    "\n",
    "    void setup()\n",
    "    {\n",
    "      // initialize serial comms\n",
    "      Serial.begin(9600); \n",
    "    }\n",
    "\n",
    "    void loop()\n",
    "    {\n",
    "      // read A0\n",
    "      int val1 = analogRead(0);\n",
    "      // read A1\n",
    "      int val2 = analogRead(1);\n",
    "      // print to serial\n",
    "      Serial.print(val1);\n",
    "      Serial.print(\" \");\n",
    "      Serial.print(val2);\n",
    "      Serial.print(\"\\n\");\n",
    "      // wait \n",
    "      delay(50);\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##Hookup\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABDEAAAKdCAYAAAA6BPIiAAAABHNCSVQICAgIfAhkiAAAHw9JREFU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\nABBBxAAAAAAiiBgAAABABBEDAAAAiPD/gAnOmpQ4MdoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image at 0x4db4150>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(filename=PWD[0]+'/Arduino_image.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "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": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}