Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly\n",
    "import math\n",
    "from plotly.offline import iplot, init_notebook_mode\n",
    "import plotly.graph_objs as go"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hi\n"
     ]
    }
   ],
   "source": [
    "#print(\"hi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_points = [[(439.5, 93.0), (431.5, 91.0), (437.5, 36.0), (425.0, 33.0), (421.0, 27.5), (434.5, 33.5)], [(449.5, 454.5), (424.5, 324.5), (350.0, 145.0), (362.5, 139.5), (370.5, 91.5), (358.0, 89.5)], [(349.0, 444.5), (344.5, 442.0), (343.5, 435.0), (347.0, 322.5), (352.5, 322.0), (323.0, 154.5)], [(332.5, 431.0), (341.5, 318.0), (303.5, 171.0), (315.0, 168.0), (307.0, 23.0), (318.0, 19.5)], [(331.0, 430.5), (327.5, 424.0), (343.0, 319.5), (338.0, 317.0), (301.5, 170.0), (311.0, 167.0)], [(300.0, 476.5), (311.0, 470.5), (294.0, 169.0), (304.5, 167.0), (310.5, 128.5), (302.0, 125.0)], [(310.5, 472.5), (293.0, 170.0), (304.0, 169.0), (311.0, 128.5), (301.5, 125.0), (309.0, 21.5)], [(311.0, 472.5), (304.0, 166.0), (310.0, 128.0), (298.5, 121.5), (301.0, 25.5), (308.0, 22.5)], [(303.5, 478.0), (314.0, 471.5), (325.5, 322.5), (302.0, 170.0), (294.0, 170.5), (306.0, 131.0)], [(304.0, 477.5), (312.5, 472.0), (328.0, 323.0), (324.5, 316.5), (301.5, 174.5), (307.5, 136.0)], [(301.5, 477.5), (308.5, 477.0), (313.0, 472.5), (327.0, 322.0), (303.0, 176.5), (312.0, 139.0)], [(309.0, 472.0), (327.5, 322.0), (299.5, 179.0), (308.0, 177.0), (311.0, 141.5), (309.5, 45.5)], [(309.0, 471.5), (312.5, 411.0), (324.5, 320.5), (303.0, 183.0), (312.5, 181.5), (312.0, 145.0)], [(308.5, 469.5), (310.5, 414.0), (318.5, 320.0), (315.5, 185.0), (305.5, 187.0), (314.0, 149.0)], [(307.5, 466.5), (311.0, 409.0), (321.5, 316.0), (305.5, 188.0), (315.5, 186.5), (316.0, 151.5)], [(308.5, 460.5), (313.5, 408.5), (310.5, 400.5), (327.0, 315.5), (313.0, 185.5), (315.5, 150.0)], [(309.0, 460.5), (314.5, 407.0), (311.0, 400.5), (327.5, 316.0), (312.0, 186.0), (315.5, 150.5)], [(311.0, 463.5), (312.0, 409.0), (322.5, 319.0), (313.5, 188.5), (317.0, 151.5), (312.0, 67.0)], [(311.5, 464.5), (311.5, 408.5), (320.5, 319.0), (313.5, 188.5), (317.0, 152.0), (310.5, 66.5)], [(310.5, 464.5), (311.5, 407.5), (318.0, 319.5), (313.0, 188.0), (316.5, 151.5), (312.0, 65.5)], [(311.0, 464.5), (311.0, 407.5), (315.0, 319.0), (313.0, 188.0), (316.5, 151.5), (308.0, 66.0)], [(310.0, 464.5), (309.0, 409.0), (314.0, 319.0), (314.0, 187.5), (316.5, 151.0), (309.5, 65.0)], [(309.5, 465.5), (307.0, 409.0), (313.5, 319.0), (311.5, 186.0), (314.5, 148.5), (307.5, 62.0)], [(331.5, 477.0), (310.0, 465.5), (307.0, 408.5), (310.5, 185.0), (313.5, 147.5), (304.5, 61.0)], [(330.5, 477.5), (309.5, 465.5), (329.0, 322.0), (300.0, 188.0), (307.0, 150.0), (309.0, 60.0)], [(330.5, 477.5), (311.0, 465.5), (330.0, 323.0), (298.0, 190.0), (306.5, 152.5), (311.5, 62.5)], [(330.0, 477.5), (311.0, 465.5), (342.5, 330.0), (289.0, 208.5), (301.5, 173.5), (318.5, 82.0)], [(329.0, 477.5), (312.5, 465.5), (347.5, 334.0), (287.5, 214.5), (300.5, 179.5), (320.0, 89.5)], [(329.5, 477.5), (313.5, 465.0), (364.0, 356.5), (268.0, 297.0), (297.5, 278.5), (294.5, 270.5)], [(329.5, 477.5), (313.5, 467.5), (316.5, 459.0), (365.0, 357.5), (268.0, 302.0), (294.0, 278.0)], [(313.0, 467.5), (365.0, 359.5), (266.0, 348.0), (299.0, 334.0), (293.5, 326.0), (340.0, 248.0)], [(331.0, 477.5), (312.5, 465.0), (368.0, 359.5), (269.0, 344.0), (296.5, 325.0), (343.0, 243.0)], [(331.0, 477.5), (313.0, 465.0), (368.5, 359.5), (269.5, 338.5), (296.5, 320.5), (344.0, 238.0)], [(331.0, 478.0), (313.5, 465.0), (369.0, 360.0), (270.0, 332.0), (298.5, 314.5), (344.0, 231.5)], [(330.5, 477.5), (315.0, 465.0), (371.5, 357.5), (270.5, 324.5), (298.5, 308.0), (344.5, 224.5)], [(330.5, 477.5), (316.5, 465.0), (371.0, 356.5), (272.0, 318.5), (300.0, 300.0), (344.5, 217.5)], [(331.0, 477.5), (316.5, 464.0), (373.0, 356.5), (273.5, 310.0), (299.0, 292.0), (344.5, 209.5)], [(331.5, 477.5), (316.5, 465.0), (373.0, 357.0), (276.0, 304.0), (300.0, 284.0), (343.5, 199.5)], [(332.0, 477.5), (314.5, 465.5), (374.5, 355.0), (276.0, 296.5), (301.5, 276.5), (342.5, 191.5)], [(332.0, 477.5), (314.5, 465.0), (373.5, 357.0), (278.0, 289.5), (302.0, 268.5), (343.0, 181.5)], [(331.0, 478.0), (314.5, 465.0), (369.5, 355.0), (279.0, 282.0), (303.5, 259.5), (341.5, 171.5)], [(331.5, 478.0), (314.5, 464.5), (368.5, 355.5), (283.5, 266.5), (305.5, 242.0), (338.0, 152.0)], [(313.0, 461.5), (330.5, 324.0), (299.5, 186.5), (320.0, 153.5), (315.5, 148.5), (325.0, 56.0)], [(313.0, 464.0), (325.5, 323.5), (303.5, 182.0), (321.0, 145.5), (315.0, 141.5), (323.0, 50.0)], [(312.0, 464.0), (306.0, 180.0), (323.5, 145.0), (317.0, 141.0), (520.0, 114.0), (319.0, 48.5)], [(312.5, 464.5), (308.0, 178.5), (325.0, 144.5), (323.5, 140.5), (315.0, 139.5), (319.5, 46.5)], [(312.0, 463.5), (317.5, 323.5), (310.0, 179.0), (323.5, 143.5), (315.5, 138.5), (315.5, 46.5)], [(312.0, 463.5), (316.0, 323.5), (309.5, 179.0), (323.0, 137.5), (320.0, 140.5), (315.5, 47.0)], [(311.5, 463.5), (313.5, 324.5), (311.5, 179.0), (323.0, 137.5), (320.0, 140.0), (313.5, 48.0)], [(311.5, 463.5), (312.5, 324.5), (312.0, 179.0), (323.0, 137.5), (320.0, 140.0), (312.5, 48.0)], [(311.5, 463.5), (314.5, 411.5), (305.0, 405.0), (312.0, 180.5), (320.0, 140.5), (311.5, 49.5)], [(311.0, 463.5), (312.0, 413.0), (311.0, 180.0), (324.5, 141.5), (316.0, 139.5), (311.5, 49.5)], [(310.0, 465.5), (313.0, 412.5), (306.0, 404.5), (311.5, 180.0), (320.0, 141.0), (311.5, 49.5)], [(311.0, 466.5), (312.0, 413.0), (306.0, 404.5), (311.0, 180.0), (320.0, 141.0), (311.5, 50.5)], [(311.5, 465.5), (311.0, 414.0), (313.0, 320.5), (309.5, 180.0), (319.0, 141.0), (312.5, 50.0)], [(311.5, 465.5), (312.5, 412.0), (315.0, 320.0), (309.5, 180.0), (319.0, 141.5), (312.5, 49.5)], [(312.0, 467.0), (314.5, 405.5), (322.5, 320.0), (305.5, 182.0), (318.0, 143.5), (316.0, 50.5)], [(314.0, 463.5), (327.5, 321.5), (302.5, 184.5), (317.0, 148.5), (525.0, 112.0), (319.0, 54.0)], [(331.5, 478.0), (314.0, 464.0), (338.5, 328.0), (297.5, 196.5), (314.0, 163.5), (326.0, 68.5)], [(331.0, 477.5), (314.0, 464.0), (340.5, 329.0), (295.5, 202.5), (313.5, 170.0), (329.0, 75.5)], [(331.0, 477.5), (317.5, 462.5), (347.5, 339.0), (289.0, 222.0), (310.0, 191.0), (334.5, 100.0)], [(331.5, 477.5), (316.0, 464.0), (353.0, 345.0), (286.0, 238.0), (309.0, 208.5), (341.0, 119.5)], [(331.5, 477.5), (314.5, 465.0), (369.5, 346.0), (280.0, 263.0), (307.0, 236.5), (346.5, 149.0)], [(331.5, 478.0), (313.0, 465.0), (370.0, 360.5), (366.5, 356.0), (280.0, 306.0), (305.0, 282.0)], [(331.5, 478.0), (314.0, 465.0), (367.0, 363.0), (275.5, 325.0), (304.5, 302.0), (356.0, 226.5)], [(329.5, 478.0), (313.0, 467.0), (367.0, 364.5), (278.5, 340.5), (306.0, 321.0), (357.0, 242.5)], [(331.0, 478.0), (312.5, 467.0), (366.5, 365.5), (278.5, 342.5), (306.5, 321.0), (357.0, 244.5)], [(329.5, 478.0), (311.5, 467.5), (366.5, 365.0), (278.0, 342.5), (307.0, 320.0), (357.0, 244.5)], [(329.5, 478.0), (311.5, 466.0), (367.5, 365.5), (278.5, 339.5), (307.5, 319.0), (357.0, 240.5)], [(332.0, 477.5), (315.5, 467.0), (368.5, 365.5), (278.5, 335.5), (306.0, 315.5), (354.5, 236.0)], [(332.5, 477.5), (315.5, 466.5), (368.0, 363.5), (279.0, 329.5), (307.0, 311.0), (356.0, 230.0)], [(332.5, 477.5), (314.0, 466.5), (367.5, 362.0), (279.5, 316.5), (309.5, 302.0), (303.5, 294.5)], [(310.5, 468.0), (316.0, 461.0), (354.0, 332.0), (292.5, 212.0), (301.0, 213.0), (317.0, 181.5)], [(311.5, 465.0), (325.0, 322.5), (325.5, 317.0), (319.0, 177.5), (331.5, 139.5), (323.5, 45.5)], [(330.5, 477.5), (313.0, 465.0), (311.5, 404.5), (324.5, 178.0), (333.0, 139.0), (319.5, 47.5)], [(330.5, 477.5), (312.5, 464.0), (315.5, 411.5), (324.5, 178.0), (332.5, 139.5), (318.5, 48.5)], [(330.5, 477.5), (312.5, 464.0), (308.0, 404.5), (325.0, 178.5), (331.0, 140.0), (320.0, 48.5)], [(313.0, 464.0), (315.5, 412.5), (307.5, 404.5), (325.0, 178.5), (331.5, 140.0), (319.0, 49.0)], [(313.0, 464.0), (314.5, 412.5), (306.5, 404.5), (324.5, 178.5), (331.5, 140.0), (319.0, 49.0)], [(313.0, 464.0), (313.0, 411.0), (306.0, 404.5), (324.5, 179.0), (332.5, 140.0), (319.0, 49.0)], [(313.0, 464.0), (312.0, 412.5), (307.0, 404.5), (323.5, 179.0), (330.5, 140.0), (319.0, 49.0)], [(312.5, 464.0), (311.5, 411.0), (306.5, 404.5), (321.5, 179.0), (330.0, 140.5), (321.0, 47.5)], [(312.5, 464.0), (313.0, 411.0), (320.0, 180.0), (321.5, 177.0), (330.0, 140.5), (322.0, 46.5)], [(330.0, 478.0), (312.0, 464.0), (324.5, 316.5), (314.0, 179.0), (326.5, 142.5), (326.0, 48.0)], [(331.0, 477.5), (313.5, 464.5), (332.5, 319.5), (307.5, 186.0), (323.5, 152.5), (330.5, 56.5)], [(331.0, 477.5), (313.0, 465.0), (337.5, 322.5), (305.5, 190.5), (321.0, 156.0), (330.0, 62.5)], [(331.0, 477.5), (314.0, 465.0), (339.5, 323.5), (303.5, 197.5), (320.0, 162.0), (332.0, 68.5)], [(331.0, 477.5), (314.5, 464.0), (345.0, 328.0), (300.0, 204.0), (317.5, 169.5), (334.0, 77.5)], [(331.0, 477.5), (315.5, 464.0), (347.0, 329.0), (297.5, 211.5), (317.0, 178.0), (333.5, 85.5)], [(331.0, 477.5), (315.5, 464.0), (352.5, 332.5), (295.0, 219.5), (315.0, 188.5), (338.0, 94.5)], [(331.0, 478.0), (315.5, 464.5), (361.5, 350.5), (291.0, 260.0), (280.0, 258.0), (311.0, 232.5)], [(331.0, 478.0), (314.5, 464.5), (362.5, 356.5), (285.0, 277.0), (277.5, 275.5), (309.0, 253.0)], [(331.0, 478.0), (313.5, 465.0), (365.5, 359.0), (277.5, 308.5), (305.5, 290.0), (305.5, 284.5)], [(330.0, 478.0), (312.5, 465.0), (366.5, 359.0), (276.5, 323.0), (305.0, 306.5), (306.0, 304.0)], [(330.0, 478.0), (312.5, 465.0), (366.5, 358.5), (274.5, 329.5), (304.5, 314.0), (305.5, 310.5)], [(311.5, 467.0), (362.0, 360.5), (274.0, 348.0), (268.0, 349.0), (301.5, 329.0), (346.0, 246.5)], [(312.5, 468.0), (308.5, 462.5), (365.0, 358.5), (272.0, 344.0), (301.0, 326.0), (345.0, 242.5)], [(306.0, 465.0), (314.0, 466.0), (362.5, 356.5), (271.0, 318.5), (301.5, 302.5), (347.0, 214.5)], [(331.0, 477.0), (315.0, 464.0), (353.5, 332.5), (289.5, 216.0), (299.0, 216.0), (315.0, 188.5)], [(331.0, 478.0), (313.5, 464.5), (340.5, 330.0), (299.0, 192.5), (297.5, 191.0), (319.0, 160.5)], [(330.5, 477.5), (314.0, 462.5), (316.5, 317.5), (320.0, 176.0), (330.5, 142.0), (312.0, 45.5)], [(331.0, 477.5), (314.0, 463.5), (316.0, 316.5), (319.0, 178.0), (321.0, 174.0), (333.5, 142.5)], [(331.0, 477.5), (314.0, 463.5), (314.5, 316.5), (322.0, 177.5), (321.5, 173.5), (332.5, 142.5)], [(330.5, 477.5), (317.0, 464.0), (312.0, 465.0), (323.0, 178.0), (332.5, 142.0), (317.0, 47.5)], [(331.0, 477.5), (313.5, 465.0), (314.0, 411.0), (324.0, 177.0), (333.0, 142.0), (316.5, 47.5)], [(331.0, 477.5), (313.5, 465.0), (314.0, 411.0), (323.5, 178.0), (332.5, 142.0), (319.0, 48.0)], [(313.0, 465.5), (313.5, 409.5), (317.5, 320.0), (324.5, 177.0), (332.5, 141.5), (317.0, 49.5)], [(313.0, 465.5), (313.5, 409.5), (318.0, 320.0), (324.5, 177.5), (333.0, 142.5), (317.0, 48.0)], [(313.0, 465.5), (311.5, 410.0), (319.5, 320.0), (323.5, 178.0), (333.0, 142.5), (320.5, 45.0)], [(313.0, 465.5), (314.0, 412.0), (320.0, 320.0), (323.5, 177.0), (333.0, 142.5), (322.0, 45.0)], [(313.0, 465.0), (313.0, 410.0), (320.0, 320.0), (322.0, 176.5), (332.5, 142.5), (324.0, 43.5)], [(313.0, 465.0), (316.5, 412.0), (322.0, 320.0), (320.5, 176.5), (332.5, 142.5), (324.5, 44.0)], [(312.5, 465.0), (318.5, 416.5), (326.0, 320.0), (318.5, 176.0), (331.0, 142.5), (327.5, 44.0)], [(313.0, 465.5), (339.5, 327.5), (310.0, 186.0), (326.0, 156.5), (327.5, 154.0), (333.0, 54.5)], [(331.5, 478.0), (313.0, 465.5), (338.0, 322.5), (307.5, 190.5), (327.5, 160.0), (335.0, 59.5)], [(330.5, 477.5), (313.5, 465.5), (350.0, 337.5), (301.5, 203.5), (324.0, 174.5), (340.0, 73.5)], [(331.0, 478.0), (313.0, 464.5), (373.0, 365.0), (310.0, 319.0), (316.5, 315.5), (284.0, 312.5)], [(331.0, 478.0), (314.5, 465.5), (376.5, 363.5), (375.5, 361.0), (316.0, 313.5), (286.0, 305.0)], [(331.5, 477.5), (314.0, 463.0), (333.0, 324.5), (333.5, 319.0), (327.0, 242.0), (301.0, 181.0)], [(331.5, 477.5), (313.5, 464.0), (331.0, 322.0), (325.5, 320.0), (328.0, 241.5), (303.0, 182.5)], [(331.5, 477.5), (314.5, 463.0), (324.0, 319.0), (330.5, 250.5), (316.0, 177.0), (305.0, 178.5)], [(331.0, 477.5), (315.0, 464.0), (307.0, 409.0), (311.5, 322.5), (312.0, 182.5), (322.5, 54.0)], [(331.0, 477.5), (314.5, 464.0), (307.0, 410.0), (313.5, 324.5), (311.0, 182.5), (323.0, 55.0)]]\n",
    "def get_avg_points(all_points):\n",
    "    index = 0\n",
    "    all_points_avg_new = []\n",
    "    while (index<len(all_points)):\n",
    "\n",
    "        ### at point 0 \n",
    "        counter = index + 1 ## at pt 1 \n",
    "        end = counter + 3\n",
    "        next_four = [all_points[index]]\n",
    "        while (counter<len(all_points) and (counter<=end)): ## grab next 4 frames\n",
    "            next_four.append(all_points[counter])\n",
    "            counter+=1\n",
    "        index +=5  ## skip by 5\n",
    "        #print((next_four))\n",
    "        all_points_avg_new.append(get_avg(next_four,6))\n",
    "    return all_points_avg_new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "#next_four = [[(439.5, 93.0), (431.5, 91.0), (437.5, 36.0), (425.0, 33.0), (421.0, 27.5), (434.5, 33.5)], [(449.5, 454.5), (424.5, 324.5), (350.0, 145.0), (362.5, 139.5), (370.5, 91.5), (358.0, 89.5)], [(349.0, 444.5), (344.5, 442.0), (343.5, 435.0), (347.0, 322.5), (352.5, 322.0), (323.0, 154.5)], [(332.5, 431.0), (341.5, 318.0), (303.5, 171.0), (315.0, 168.0), (307.0, 23.0), (318.0, 19.5)], [(331.0, 430.5), (327.5, 424.0), (343.0, 319.5), (338.0, 317.0), (301.5, 170.0), (311.0, 167.0)]]\n",
    "#print(next_four)\n",
    "number_tapes = 6\n",
    "def get_avg(next_four,number_tapes):\n",
    "    avg_points = []\n",
    "    for index in range(number_tapes):\n",
    "        avg_points.append([0,0])\n",
    "    #print (avg_points)\n",
    "    #avg_points = [(0,0),(0,0),(0,0),(0,0)]\n",
    "    for index in range (len(next_four)):\n",
    "        frame_points = next_four[index]\n",
    "        for tape in range(number_tapes):\n",
    "            avg_points[tape][0]+= (frame_points[tape][0]/(len(next_four)))\n",
    "            avg_points[tape][1]+= (frame_points[tape][1]/(len(next_four)))\n",
    "    return avg_points\n",
    "#print(avg_points)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'for index in range(len(all_points)):\\n    y_points1[index] = y_points1[index] - lowest \\n    y_points2[index] = y_points2[index] - lowest \\n    y_points3[index] = y_points3[index] - lowest \\n    y_points4[index] = y_points4[index] - lowest \\n    y_points5[index] = y_points5[index] - lowest \\n    y_points6[index] = y_points6[index] - lowest \\nfor index in range(len(all_points_avg)):\\n    y_points1_avg[index]-=lowest_avg\\n    y_points2_avg[index]-=lowest_avg\\n    y_points3_avg[index]-=lowest_avg\\n    y_points4_avg[index]-=lowest_avg\\n    y_points5_avg[index]-=lowest_avg\\n    y_points6_avg[index]-=lowest_avg'"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_points_avg = get_avg_points(all_points)\n",
    "y_points1 = []\n",
    "y_points2 = []\n",
    "y_points3 = []\n",
    "y_points4 = []\n",
    "y_points5 = []\n",
    "y_points6 = []\n",
    "y_points1_avg = []\n",
    "y_points2_avg = []\n",
    "y_points3_avg = []\n",
    "y_points4_avg = []\n",
    "y_points5_avg = []\n",
    "y_points6_avg = []\n",
    "#values = []*contours\n",
    "def find_lowest_in_list(y_points_avg):\n",
    "    #print(len(y_points_avg))\n",
    "    lowest = []\n",
    "    for index in range(len(y_points_avg)):\n",
    "        lowest.append([]);\n",
    "    #print(lowest)\n",
    "    for index in range(len(y_points_avg)):\n",
    "        #print(y_points_avg[index])\n",
    "        lowest[index] = min(y_points_avg[index])\n",
    "    return min(lowest)\n",
    "\n",
    "\n",
    "def get_avg_y(all_points_avg,number_tapes):\n",
    "    y_points_avg = []\n",
    "    for index in range(number_tapes):\n",
    "        y_points_avg.append([]);\n",
    "    #print(y_points_avg)\n",
    "    for index in range(len(all_points_avg)):\n",
    "        frame_points = all_points_avg[index]\n",
    "        for tape in range(number_tapes):\n",
    "            y_points_avg[tape].append((frame_points[tape][1]*-1))\n",
    "    lowest_avg = find_lowest_in_list(y_points_avg)\n",
    "    #print (lowest_avg)\n",
    "    #for index in range(len(all_points_avg)):\n",
    "        #for tape in range(number_tapes):\n",
    "            #y_points[tape][index]-=lowest_avg\n",
    "    for tape in range(number_tapes):\n",
    "        for index in range(len(all_points_avg)):\n",
    "            y_points_avg[tape][index]=y_points_avg[tape][index] - lowest_avg\n",
    "    return y_points_avg\n",
    "\n",
    "y_points_avg = get_avg_y(all_points_avg,6)\n",
    "#print(y_points_avg)\n",
    "\n",
    "\n",
    "#print(find_lowest_in_list(y_points_avg))\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\"\"\"for points in all_points:\n",
    "    ## [(tape1), (tape2)]\n",
    "    tape1_x = points[0][0]\n",
    "    tape1_y = points[0][1]\n",
    "    tape2_x = points[1][0]\n",
    "    tape2_y = points[1][1]\n",
    "    tape3_x = points[2][0]\n",
    "    tape3_y = points[2][1]\n",
    "    tape4_x = points[3][0]\n",
    "    tape4_y = points[3][1]\n",
    "    tape5_x = points[4][0]\n",
    "    tape5_y = points[4][1]\n",
    "    tape6_x = points[5][0]\n",
    "    tape6_y = points[5][1]\n",
    "    y_points1.append(tape1_y*-1)\n",
    "    y_points2.append(tape2_y*-1)\n",
    "    y_points3.append(tape3_y*-1)\n",
    "    y_points4.append(tape4_y*-1)\n",
    "    y_points5.append(tape5_y*-1)\n",
    "    y_points6.append(tape6_y*-1)\"\"\"\n",
    "#print (y_points1)\n",
    "#print (y_points2)\n",
    "\"\"\"for points in all_points_avg:\n",
    "    ## [(tape1), (tape2)]\n",
    "    tape1_x = points[0][0]\n",
    "    tape1_y = points[0][1]\n",
    "    tape2_x = points[1][0]\n",
    "    tape2_y = points[1][1]\n",
    "    tape3_x = points[2][0]\n",
    "    tape3_y = points[2][1]\n",
    "    tape4_x = points[3][0]\n",
    "    tape4_y = points[3][1]\n",
    "    tape5_x = points[4][0]\n",
    "    tape5_y = points[4][1]\n",
    "    tape6_x = points[5][0]\n",
    "    tape6_y = points[5][1]\n",
    "    y_points1_avg.append(tape1_y*-1)\n",
    "    y_points2_avg.append(tape2_y*-1)\n",
    "    y_points3_avg.append(tape3_y*-1)\n",
    "    y_points4_avg.append(tape4_y*-1)\n",
    "    y_points5_avg.append(tape5_y*-1)\n",
    "    y_points6_avg.append(tape6_y*-1)\"\"\"\n",
    "    #difference.append(tape1_y-tape2_y)\n",
    "#print(len(all_points))\n",
    "#print (y_points1_avg)\n",
    "\"\"\"def find_lowest(y_points1, y_points2, y_points3, y_points4,y_points5,y_points6):\n",
    "    min1 = min(y_points1)\n",
    "    min2 = min(y_points2)\n",
    "    min3 = min(y_points3)\n",
    "    min4 = min(y_points4)\n",
    "    min5 = min(y_points5)\n",
    "    min6 = min(y_points6)\n",
    "    min_final = min([min1,min2,min3,min4,min5,min6])\n",
    "    return min_final   \n",
    "lowest = find_lowest(y_points1, y_points2, y_points3, y_points4,y_points5,y_points6)\n",
    "lowest_avg = find_lowest(y_points1_avg, y_points2_avg, y_points3_avg, y_points4_avg,y_points5_avg,y_points6_avg)\n",
    "print(lowest_avg)\"\"\"\n",
    "\n",
    "\"\"\"for index in range(len(all_points)):\n",
    "    y_points1[index] = y_points1[index] - lowest \n",
    "    y_points2[index] = y_points2[index] - lowest \n",
    "    y_points3[index] = y_points3[index] - lowest \n",
    "    y_points4[index] = y_points4[index] - lowest \n",
    "    y_points5[index] = y_points5[index] - lowest \n",
    "    y_points6[index] = y_points6[index] - lowest \n",
    "for index in range(len(all_points_avg)):\n",
    "    y_points1_avg[index]-=lowest_avg\n",
    "    y_points2_avg[index]-=lowest_avg\n",
    "    y_points3_avg[index]-=lowest_avg\n",
    "    y_points4_avg[index]-=lowest_avg\n",
    "    y_points5_avg[index]-=lowest_avg\n",
    "    y_points6_avg[index]-=lowest_avg\"\"\"\n",
    "##roling avg of 5  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Good': 16, 'Acceptable': 3, 'Bad': 6}\n"
     ]
    }
   ],
   "source": [
    "def find_dist(tape1,tape2):\n",
    "    return (((tape1[0]-tape2[0])**2+(tape1[1]-tape2[1])**2)**0.5)\n",
    "def find_angles(all_points_avg):\n",
    "    angles_avg = []\n",
    "    perf_avg = {\"Good\": 0, \"Acceptable\": 0, \"Bad\": 0}\n",
    "    for point in all_points_avg:\n",
    "        tape3 = point[2]\n",
    "        tape2 = point[1]\n",
    "        tape1 = point[0]\n",
    "        # dist bw 6 and 4, 6 and 5, 4 and 5 \n",
    "        dist_a = find_dist(tape2,tape3) ## mid->lowest\n",
    "        dist_b = find_dist(tape1,tape2) ## highest->mid\n",
    "        dist_c = find_dist(tape1,tape3) ## highest->lowest\n",
    "        cos_c = (dist_c**2 - dist_a**2 -dist_b**2)/(-2*dist_a*dist_b)\n",
    "        c = math.acos(cos_c)\n",
    "        c_deg = (c * 180 /math.pi) -90\n",
    "        if (c_deg>=0):\n",
    "            angles_avg.append(c_deg)\n",
    "            if (c_deg >=50):\n",
    "                perf_avg[\"Good\"]+=1\n",
    "            elif (c_deg >=20):\n",
    "                perf_avg[\"Acceptable\"]+=1\n",
    "            else:\n",
    "                perf_avg[\"Bad\"]+=1\n",
    "    return angles_avg, perf_avg\n",
    "angles_avg, perf_avg = find_angles(all_points_avg)\n",
    "print (perf_avg)\n",
    "##plot pie chart\n",
    "##5 frame average for angle\n",
    "\n",
    "#fig.show\n",
    "def make_pie(perf_avg):\n",
    "    trace = go.Pie(labels = ['Good','Acceptable','Bad'], values = [perf_avg['Good'],perf_avg['Acceptable'],perf_avg['Bad'],])\n",
    "    data = [trace]\n",
    "    fig1 = go.Figure(data = data)\n",
    "    fig1.show()\n",
    "    return fig1"
   ]
  },
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    {
     "data": {
      "text/plain": [
       "\"fig3.add_trace(go.Scatter(y=y_points1,\\n                    mode='lines+markers',\\n                    name='tape1'))\\nfig3.add_trace(go.Scatter(y=y_points2,\\n                    mode='lines+markers',\\n                    name='tape2'))\\nfig3.add_trace(go.Scatter(y=y_points3,\\n                    mode='lines+markers',\\n                    name='tape3'))\\nfig4.add_trace(go.Scatter(y=y_points1_avg,\\n                    mode='lines+markers',\\n                    name='tape1_avg'))\\nfig4.add_trace(go.Scatter(y=y_points2_avg,\\n                    mode='lines+markers',\\n                    name='tape2_avg'))\\nfig4.add_trace(go.Scatter(y=y_points3_avg,\\n                    mode='lines+markers',\\n                    name='tape3_avg'))\\nfig4.add_trace(go.Scatter(y=y_points4_avg,\\n                    mode='lines+markers',\\n                    name='tape4_avg'))\\nfig4.add_trace(go.Scatter(y=y_points5_avg,\\n                    mode='lines+markers',\\n                    name='tape5_avg'))\\nfig4.add_trace(go.Scatter(y=y_points6_avg,\\n                    mode='lines+markers',\\n                    name='tape6_avg'))\\nfig5.add_trace(go.Scatter(y=angles_avg,\\n                    mode='lines+markers',\\n                    name='angles_avg'))\\nfig6.add_trace(go.Scatter(y=angles_avg_new,\\n                    mode='lines+markers',\\n                    name='angles_avg_new'))\\nfig7.add_trace(go.Scatter(y=y_points_avg[0],\\n                    mode='lines+markers',\\n                    name='tape1'))\\nfig7.add_trace(go.Scatter(y=y_points_avg[1],\\n                    mode='lines+markers',\\n                    name='tape2'))\\nfig7.add_trace(go.Scatter(y=y_points_avg[2],\\n                    mode='lines+markers',\\n                    name='tape3'))\\nfig7.add_trace(go.Scatter(y=y_points_avg[3],\\n                    mode='lines+markers',\\n                    name='tape4'))\\nfig7.add_trace(go.Scatter(y=y_points_avg[4],\\n                    mode='lines+markers',\\n                    name='tape5'))\\nfig7.add_trace(go.Scatter(y=y_points_avg[5],\\n                    mode='lines+markers',\\n                    name='tape6'))\\n#fig.add_trace(go.Scatter(x=random_x, y=random_y,mode='lines+markers',name='lines+markers'))\\n\\n\\nfig.show()\\n\\nfig2.show()\\nfig3.show()\\nfig4.show()\\nfig7.show()\\nfig5.show()\\nfig6.show()\\n\""
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "def draw_graph_y(y_points_avg,num_tapes):\n",
    "    fig = go.Figure()\n",
    "    for index in range(num_tapes):\n",
    "        fig.add_trace(go.Scatter(y=y_points_avg[index],\n",
    "                        mode='lines+markers',\n",
    "                        name= 'tape ' + str(index+1)))\n",
    "    fig.show()\n",
    "\n",
    "\n",
    "def draw_graph_angles(angles_avg):\n",
    "    fig = go.Figure()\n",
    "    fig.add_trace(go.Scatter(y=angles_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='angles'))\n",
    "    fig.show()\n",
    "\n",
    "draw_graph_y(y_points_avg,6)\n",
    "draw_graph_angles(angles_avg)\n",
    "# Create traces\n",
    "\"\"\"fig = go.Figure()\n",
    "fig1 = go.Figure()\n",
    "fig2 = go.Figure()\n",
    "fig3 = go.Figure()\n",
    "fig4 = go.Figure()\n",
    "fig5 = go.Figure()\n",
    "fig6 = go.Figure()\n",
    "fig7 = go.Figure()\n",
    "fig.add_trace(go.Scatter(y=y_points1,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape1'))\n",
    "fig.add_trace(go.Scatter(y=y_points2,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape2'))\n",
    "fig.add_trace(go.Scatter(y=y_points3,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape3'))\n",
    "fig.add_trace(go.Scatter(y=y_points4,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape4'))\n",
    "fig.add_trace(go.Scatter(y=y_points5,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape5'))\n",
    "fig.add_trace(go.Scatter(y=y_points6,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape6'))\"\"\"\n",
    "\"\"\"fig2.add_trace(go.Scatter(y=angles,\n",
    "                    mode='lines+markers',\n",
    "                    name='angles'))\"\"\"\n",
    "\"\"\"fig3.add_trace(go.Scatter(y=y_points1,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape1'))\n",
    "fig3.add_trace(go.Scatter(y=y_points2,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape2'))\n",
    "fig3.add_trace(go.Scatter(y=y_points3,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape3'))\n",
    "fig4.add_trace(go.Scatter(y=y_points1_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape1_avg'))\n",
    "fig4.add_trace(go.Scatter(y=y_points2_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape2_avg'))\n",
    "fig4.add_trace(go.Scatter(y=y_points3_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape3_avg'))\n",
    "fig4.add_trace(go.Scatter(y=y_points4_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape4_avg'))\n",
    "fig4.add_trace(go.Scatter(y=y_points5_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape5_avg'))\n",
    "fig4.add_trace(go.Scatter(y=y_points6_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='tape6_avg'))\n",
    "fig5.add_trace(go.Scatter(y=angles_avg,\n",
    "                    mode='lines+markers',\n",
    "                    name='angles_avg'))\n",
    "fig6.add_trace(go.Scatter(y=angles_avg_new,\n",
    "                    mode='lines+markers',\n",
    "                    name='angles_avg_new'))\n",
    "fig7.add_trace(go.Scatter(y=y_points_avg[0],\n",
    "                    mode='lines+markers',\n",
    "                    name='tape1'))\n",
    "fig7.add_trace(go.Scatter(y=y_points_avg[1],\n",
    "                    mode='lines+markers',\n",
    "                    name='tape2'))\n",
    "fig7.add_trace(go.Scatter(y=y_points_avg[2],\n",
    "                    mode='lines+markers',\n",
    "                    name='tape3'))\n",
    "fig7.add_trace(go.Scatter(y=y_points_avg[3],\n",
    "                    mode='lines+markers',\n",
    "                    name='tape4'))\n",
    "fig7.add_trace(go.Scatter(y=y_points_avg[4],\n",
    "                    mode='lines+markers',\n",
    "                    name='tape5'))\n",
    "fig7.add_trace(go.Scatter(y=y_points_avg[5],\n",
    "                    mode='lines+markers',\n",
    "                    name='tape6'))\n",
    "#fig.add_trace(go.Scatter(x=random_x, y=random_y,mode='lines+markers',name='lines+markers'))\n",
    "\n",
    "\n",
    "fig.show()\n",
    "\n",
    "fig2.show()\n",
    "fig3.show()\n",
    "fig4.show()\n",
    "fig7.show()\n",
    "fig5.show()\n",
    "fig6.show()\n",
    "\"\"\"\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
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