IMplement fine plots for interpolation

project_files/.ipynb_checkpoints/JawRollPitch-checkpoint.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Done. Total elapsed time: 0.03s\n",
+      "(14.568, 59.012, 41.106)\n",
+      "(29.481, 60.481, -2.774)\n",
+      "(18.019, 71.888, -5.666)\n",
+      "DONE\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import time\n",
+    "from math import atan, sqrt\n",
+    "\n",
+    "inputData = 'data/jrp/accData-02-27_jrp_test.txt'\n",
+    "outputData = 'data/jrp/jrp_Data_test.txt'\n",
+    "\n",
+    "start = time.time()\n",
+    "columns = ['user','activity','timestamp', 'x-axis', 'y-axis', 'z-axis']\n",
+    "df = pd.read_csv(inputData, header = None, names = columns)\n",
+    "df = df.dropna()\n",
+    "\n",
+    "xList = list(df['x-axis'])\n",
+    "yList = list(df['y-axis'])\n",
+    "zList = list(df['z-axis'])\n",
+    "\n",
+    "#print(xList[0], yList[0], zList[0])\n",
+    "\n",
+    "M_PI = 3.14159265358979323846\n",
+    "for i in range(0,df['x-axis'].size):\n",
+    "    tempX = xList[i]* 3.9\n",
+    "    tempY = yList[i]* 3.9\n",
+    "    tempZ = zList[i]* 3.9\n",
+    "    \n",
+    "    if((tempY*tempY + tempZ*tempZ) == 0):\n",
+    "        pitch = 180 * 1.570796/M_PI\n",
+    "    else:\n",
+    "        pitch = 180 * atan(tempX/sqrt(tempY*tempY + tempZ*tempZ))/M_PI\n",
+    "    \n",
+    "    if((tempX*tempX + tempZ*tempZ) == 0):\n",
+    "        roll = 180 * 1.570796/M_PI\n",
+    "    else:\n",
+    "        roll = 180 * atan(tempY/sqrt(tempX*tempX + tempZ*tempZ))/M_PI \n",
+    "    \n",
+    "    if((tempX*tempX + tempZ*tempZ) == 0):\n",
+    "        yaw = 180 * 1.570796/M_PI\n",
+    "    else:\n",
+    "        yaw = 180 * atan(tempZ/sqrt(tempX*tempX + tempZ*tempZ))/M_PI\n",
+    "\n",
+    "    xList[i] = round(pitch, 3)\n",
+    "    yList[i] = round(roll, 3)\n",
+    "    zList[i] = round(yaw, 3)\n",
+    "    \n",
+    "    if (i % 1000 == 0):\n",
+    "        end = time.time()\n",
+    "        #print(\"%.2f%% Done. Elapsed time: %.2fs\" % (i*100/df['x-axis'].size, end - start))\n",
+    "        \n",
+    "end = time.time()        \n",
+    "print(\"Done. Total elapsed time: %.2fs\" % (end - start))\n",
+    "print(xList[0], yList[0], zList[0])\n",
+    "print(xList[1], yList[1], zList[1])\n",
+    "print(xList[2], yList[2], zList[2])\n",
+    "\n",
+    "x_vector = np.asarray(xList)\n",
+    "x_vector.T\n",
+    "\n",
+    "y_vector = np.asarray(yList)\n",
+    "y_vector.T\n",
+    "\n",
+    "z_vector = np.asarray(zList)\n",
+    "z_vector.T\n",
+    "\n",
+    "\n",
+    "df['x-axis'] = x_vector\n",
+    "df['y-axis'] = y_vector\n",
+    "df['z-axis'] = z_vector\n",
+    "\n",
+    "\n",
+    "df.to_csv(outputData, header=False, index=False) \n",
+    "#print(df)\n",
+    "print(\"DONE\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

project_files/JawRollPitch.ipynb

@@ -109,14 +109,14 @@
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.12"
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
   }
  },
  "nbformat": 4,