Grid Cell Phase Main.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Grid Cell Phase Coding \n",
    "\n",
    "\"Phases are in radians, coordinates are in [m] and time base is [ms]. The first data point in XYspkT corresponds with the first spike, which also corresponds with the first phase value\"\n",
    "\n",
    "After changing parameters in the second cell, from the top menu click 'Cell' -> 'Run All' then scroll through\n",
    "\n",
    "(TODO: add firing map (#spikes/time), variance as lightness in meanphasemap (pi), variance weighting, amount of spikes vs. correlation, temporal separation of spikes vs. correlation, radial distribution of prediction variance, population vector prediction,\n",
    "low variance phase map?)\n",
    "\n",
    "(note whether coordinates in numpy [-y,x] or Cartesian [x,y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import hsv_to_rgb\n",
    "import seaborn as sns\n",
    "from scipy.stats import pearsonr\n",
    "import pycircstat\n",
    "from scipy import ndimage\n",
    "\n",
    "%matplotlib inline\n",
    "np.set_printoptions(suppress=True)\n",
    "%config InLineBackend.figure_format = 'retina'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "allspikes = np.loadtxt('SpikePhaseData.csv', delimiter='\\t')\n",
    "\n",
    "#Splitting all spike-rows to divide the set 50% for the analysis and 50% for the mean phase map generation\n",
    "evens = allspikes[::2,:]\n",
    "odds = allspikes[1::2,:]\n",
    "\n",
    "#Spatial or temporal analysis\n",
    "analysis_type = 'temporal'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## XYspkT\n",
    "\n",
    "XYspkT contains the X,Y coordinates of spikes. Spikes from all 30 neurons are combined in a single spike train. The X and Y columns represent the avatar's X-Y coordinate in [m] relative to the environment at the moment of the spike. \n",
    "\n",
    "XYspkT is float values, can be converted to integer with np.round(scaled_XY) as the coarse spatial analysis from the adjacency matrix only results in integer movement predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1fcc148eda0>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "XYspkT = evens[:,2:]\n",
    "\n",
    "#Aligns positions to [0,0] in the bottom-left corner\n",
    "XYspkT[:,1] -= XYspkT[:,1].min()\n",
    "XYspkT[:,0] -= XYspkT[:,0].min()\n",
    "scaled_XY = XYspkT/2\n",
    "\n",
    "plt.plot(scaled_XY[:,0],scaled_XY[:,1],'.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## spkT\n",
    "\n",
    "spkT contains the times of the spikes in ms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[   443.    593.   1166. ... 282430. 284230. 295580.]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1254,)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spkT = evens[:,0]\n",
    "print(spkT)\n",
    "spkT.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Phase\n",
    "\n",
    "Phase is the corresponding (gamma) phase of the spikes - what phase the gamma oscillation was at the moment of spike"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#phase = evens[:,1]\n",
    "phase = np.random.rand(spkT.size)*6.28\n",
    "scaled_phase = phase-3.14\n",
    "\n",
    "phase_degrees = np.degrees(phase)\n",
    "sorted_phase = np.sort(phase_degrees)\n",
    "\n",
    "\n",
    "#Radial histogram of phase distribution\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)\n",
    "theta = np.radians(np.arange(0,366,6))\n",
    "\n",
    "inds = [np.where(sorted_phase<i)[0][-1] for i in np.arange(6,366,6)] #vectorize operation?\n",
    "b = np.split(sorted_phase,inds)\n",
    "radii = np.array([i.size/3.2 for i in b])\n",
    "\n",
    "width = np.radians(360/60)\n",
    "bars = ax.bar(theta, radii, width=width, bottom=0.0)\n",
    "for theta, bar in zip(theta, bars):\n",
    "    bar.set_facecolor(plt.cm.hsv(theta/6.28))\n",
    "    bar.set_alpha(0.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MeanPhaseMap\n",
    "\n",
    "MeanPhaseMap the map of gamma phases. A given value at the n-th row and m-th column represents the average phase of spikes (all spikes) within that area during the entire 5 min navigation. \n",
    "\n",
    "TODO:\n",
    "\n",
    "-(time based meanphasemap of first half, traj from second)\n",
    "\n",
    "-average internode distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\pycircstat\\descriptive.py:340: RuntimeWarning: invalid value encountered in cdouble_scalars\n",
      "  np.sum(w, axis=axis))\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\pycircstat\\decorators.py:31: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  return ret % (2 * np.pi)\n",
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:19: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1fcc1516550>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 310.154x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def mean_phase_map(arr,bin_size):\n",
    "    mpm_dict = {}\n",
    "    for ybin in range(0,int(arr[:,1].max()+1),bin_size):\n",
    "        mpm_dict[ybin] = {}\n",
    "        for xbin in range(0,int(arr[:,0].max()+1),bin_size):\n",
    "            phases = []\n",
    "            mpm_dict[ybin][xbin] = []\n",
    "            for spike in arr:\n",
    "                if (xbin <= spike[0] <= xbin+bin_size) and (ybin <= spike[1] <= ybin+bin_size):\n",
    "                    phases.append(spike[2])      \n",
    "            mpm_dict[ybin][xbin] = pycircstat.mean(np.asarray(phases))\n",
    "\n",
    "    #Rotate the dataframe 90 CCW\n",
    "    mpm = pd.DataFrame.from_dict(mpm_dict).T\n",
    "    phase_df = mpm.reindex(index=mpm.index[::-1])-3.14\n",
    "    \n",
    "    #(Uniform) Smoothing algorithm\n",
    "    #Replaces each value with circular mean of (inclusive) neighbouring 3x3 matrix\n",
    "    np_dfp = np.pad(phase_df.as_matrix(), 1, 'constant', constant_values=np.nan)\n",
    "    a = np.zeros((np_dfp.shape[0], np_dfp.shape[1]))\n",
    "\n",
    "    for i in range(len(np_dfp)-2):\n",
    "        for j in range(len(np_dfp[i])-2):\n",
    "            arr = np_dfp[i:i+3,j:j+3]\n",
    "            if not np.isnan(arr[1,1]):\n",
    "                n_arr = arr[~np.isnan(arr)]\n",
    "                avg = pycircstat.mean(n_arr)\n",
    "                a[i+1,j+1] = avg\n",
    "\n",
    "    a[a==0]=np.nan\n",
    "    a = a[1:-1,1:-1]-3.14\n",
    "    phase_df = pd.DataFrame(a)\n",
    "    \n",
    "    return phase_df\n",
    "\n",
    "XY_odds = odds[:,2:]\n",
    "XY_odds[:,1] -= XY_odds[:,1].min()\n",
    "XY_odds[:,0] -= XY_odds[:,0].min()\n",
    "\n",
    "mpm_arr = np.column_stack((XY_odds,odds[:,1]))\n",
    "phase_df = mean_phase_map(mpm_arr,2)\n",
    "arena_size = phase_df.shape\n",
    "\n",
    "\n",
    "plt.matshow(phase_df)\n",
    "\n",
    "#To-do: reflect radians in bar\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Phase Variance Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1fcc41eefd0>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1069.71 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def var_map(arr, bin_size):\n",
    "    \"\"\"Bins data in a 2x2 matrix to the phase variance\"\"\"\n",
    "    vm_dict = {}\n",
    "    for ybin in range(0, int(allspikes[:, 3].max() + 1), bin_size):\n",
    "        vm_dict[ybin] = {}\n",
    "        for xbin in range(0, int(allspikes[:, 2].max() + 1), bin_size):\n",
    "            phases = []\n",
    "            vm_dict[ybin][xbin] = []\n",
    "            for spike in arr:\n",
    "                if (xbin <= spike[0] <= xbin + bin_size) and (ybin <= spike[1] <= ybin + bin_size):\n",
    "                    phases.append(spike[2])\n",
    "            vm_dict[ybin][xbin] = (pycircstat.var(np.asarray(phases))+0.5)/2\n",
    "\n",
    "    #Rotate the dataframe 90 CCW\n",
    "    vm = pd.DataFrame.from_dict(vm_dict).T\n",
    "    var_df = vm.reindex(index=vm.index[::-1])\n",
    "\n",
    "    return var_df\n",
    "\n",
    "# Generate mean phase map\n",
    "vm_arr = np.column_stack((XY_odds, odds[:,1]))\n",
    "var_df = var_map(vm_arr, 2)\n",
    "\n",
    "plt.matshow(var_df)\n",
    "\n",
    "#To-do: reflect radians in bar\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Phase Variance Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for +: 'builtin_function_or_method' and 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-babb6524069b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mxyPos\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloadtxt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdir\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;34m'xyPos.csv'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdelimiter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m','\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m25\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mxyPos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m-=\u001b[0m \u001b[0mxyPos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mxyPos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m-=\u001b[0m \u001b[0mxyPos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxyPos\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'builtin_function_or_method' and 'str'"
     ]
    }
   ],
   "source": [
    "xyPos = np.loadtxt(dir+'xyPos.csv',delimiter=',')[::25]\n",
    "xyPos[:,1]-= xyPos[:,1].min()\n",
    "xyPos[:,0]-= xyPos[:,0].min()\n",
    "print(xyPos)\n",
    "\n",
    "#Trajectory overlaid with XYspkT\n",
    "plt.plot(xyPos[:,0],xyPos[:,1], color='b')\n",
    "plt.plot(XYspkT[:,0],XYspkT[:,1], '.', color='r', markersize=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def adjacent_spikes(spikes, phase):\n",
    "    \"\"\"Get location of spike with most similar phase\"\"\"\n",
    "    y_size = arena_size[0] - 1\n",
    "    phases = []\n",
    "    vars = []\n",
    "    \n",
    "    for i in spikes:\n",
    "        \n",
    "        x = int(i[0])\n",
    "        if x >= arena_size[1]:\n",
    "            x -= 1\n",
    "\n",
    "        y = int(i[1])\n",
    "        if y >= arena_size[0]:\n",
    "            y -= 1\n",
    "            \n",
    "        phases.append(phase_df.iloc[y_size - y, x])\n",
    "        vars.append(var_df.iloc[y_size - y, x])\n",
    "        \n",
    "    #KNN-like approach - MESSY\n",
    "#     if spikes.shape[0]>1:\n",
    "#         for i in range(spikes.shape[0]):\n",
    "#             if i-1<0:\n",
    "#                 cluster = [np.nan, spikes[i], spikes[i+1]]\n",
    "#             elif i+1==len(spikes):\n",
    "#                 cluster = [spikes[i-1], spikes[i], np.nan]\n",
    "#             else:\n",
    "#                 cluster = spikes[i-1:i+2]\n",
    "\n",
    "\n",
    "#             clust_phases = []\n",
    "#             for j in cluster:\n",
    "#                 if not np.any(np.isnan(j)):\n",
    "\n",
    "#                     x = int(j[0])\n",
    "#                     if x >= arena_size[1]:\n",
    "#                         x -= 1\n",
    "\n",
    "#                     y = int(j[1])\n",
    "#                     if y >= arena_size[0]:\n",
    "#                         y -= 1\n",
    "\n",
    "#                     clust_phases.append(phase_df.iloc[y_size - y, x])\n",
    "\n",
    "\n",
    "#                 phases.append(pycircstat.mean(clust_phases))\n",
    "#     else:\n",
    "#         print('test')\n",
    "#         x = int(spikes[0][0])\n",
    "#         if x >= arena_size[1]:\n",
    "#             x -= 1\n",
    "\n",
    "#         y = int(spikes[0][1])\n",
    "#         if y >= arena_size[0]:\n",
    "#             y -= 1\n",
    "#         phases.append(phase_df.iloc[y_size - y, x])\n",
    "            \n",
    "    phases = np.asarray(phases)\n",
    "    vars = np.asarray(vars)\n",
    "    diffs = np.abs(phases - phase)*vars\n",
    "    \n",
    "    try:\n",
    "        nearest = np.nanargmin(diffs)\n",
    "        #nearest = np.nanargmin(np.abs(phases - phase))\n",
    "    except:\n",
    "        nearest = 0\n",
    "\n",
    "    try:\n",
    "        #Rounding down to the nearest bin, adding 0.5 to point to center of bin\n",
    "        x = int(spikes[nearest][0])+0.5 \n",
    "        y = int(spikes[nearest][1])+0.5\n",
    "        return [x - spikes[0, 0], y - spikes[0, 1]]\n",
    "\n",
    "    except:\n",
    "        return [0.0, 0.0]\n",
    "    \n",
    "    \n",
    "#Tests:\n",
    "#print(adjacent_matrix([3,0.5],-1.5))\n",
    "#adjacent_spikes(combined[10:16,1:3],combined[10,4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combined Position, Time and Phase DataFrame\n",
    "\n",
    "X,Y position, change in distance, time and phase data sorted by trajectory from the Time column in a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[    80.             16.41015        19.6108          2.21191121\n",
      "       0.              0.        ]\n",
      " [   443.             16.41015        19.6108          2.49783807\n",
      "       0.              0.        ]\n",
      " [   593.             16.41015        19.6108         -2.41586716\n",
      "       0.15035         0.261     ]\n",
      " ...\n",
      " [297930.             24.92435        22.88245         2.80302425\n",
      "       0.9113          0.05065   ]\n",
      " [298300.             25.83565        22.9331          2.08666002\n",
      "       0.89935         0.05      ]\n",
      " [298660.             26.735          22.9831          2.15881423\n",
      "       0.              0.        ]]\n",
      "[[   593.             16.41015        19.6108     ...      2.59612573\n",
      "       0.15035         0.261     ]\n",
      " [  1166.             16.5605         19.8718     ...      1.31514715\n",
      "       1.2196          1.2141    ]\n",
      " [  1873.             17.7801         21.0859     ...     -0.34324617\n",
      "       0.1634          0.14305   ]\n",
      " ...\n",
      " [297020.             22.6056         22.7536     ...      2.80302425\n",
      "       2.31875         0.12885   ]\n",
      " [297930.             24.92435        22.88245    ...      0.\n",
      "       0.9113          0.05065   ]\n",
      " [298300.             25.83565        22.9331     ...      2.08666002\n",
      "       0.              0.        ]]\n"
     ]
    }
   ],
   "source": [
    "unsorted = np.column_stack((spkT,scaled_XY,scaled_phase))\n",
    "sorted = unsorted[unsorted[:,0].argsort()]\n",
    "\n",
    "#Calculate movement magnitudes\n",
    "xdif = np.append(sorted[1:,1],0)-np.append(sorted[:-1,1],0)\n",
    "ydif = np.append(sorted[1:,2],0)-np.append(sorted[:-1,2],0)\n",
    "\n",
    "#Drop rows with movements below threshold\n",
    "move_thresh = 0.01\n",
    "\n",
    "raw = np.column_stack((sorted,xdif,ydif))\n",
    "print(raw)\n",
    "movement  = raw[np.any(abs(raw[:,4:]) >= move_thresh, axis=1)]\n",
    "\n",
    "#Recalculate movement magnitudes\n",
    "xdif = np.append(movement[1:,1],0)-np.append(movement[:-1,1],0)\n",
    "ydif = np.append(movement[1:,2],0)-np.append(movement[:-1,2],0)\n",
    "next_phase = np.insert(movement[1:,3],-1, 0)\n",
    "\n",
    "combined = np.column_stack((movement[:,:4],next_phase,xdif,ydif))\n",
    "print(combined)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Time</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Phase</th>\n",
       "      <th>Next Phase</th>\n",
       "      <th>Xdif</th>\n",
       "      <th>Ydif</th>\n",
       "      <th>Xdif Predicted</th>\n",
       "      <th>Ydif Predicted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>593.0</td>\n",
       "      <td>16.410150</td>\n",
       "      <td>19.610800</td>\n",
       "      <td>-2.415867</td>\n",
       "      <td>2.596126</td>\n",
       "      <td>0.150350</td>\n",
       "      <td>0.261000</td>\n",
       "      <td>5.089850</td>\n",
       "      <td>0.889200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1166.0</td>\n",
       "      <td>16.560500</td>\n",
       "      <td>19.871800</td>\n",
       "      <td>2.596126</td>\n",
       "      <td>1.315147</td>\n",
       "      <td>1.219600</td>\n",
       "      <td>1.214100</td>\n",
       "      <td>4.939500</td>\n",
       "      <td>0.628200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1873.0</td>\n",
       "      <td>17.780100</td>\n",
       "      <td>21.085900</td>\n",
       "      <td>1.315147</td>\n",
       "      <td>-0.343246</td>\n",
       "      <td>0.163400</td>\n",
       "      <td>0.143050</td>\n",
       "      <td>0.719900</td>\n",
       "      <td>0.414100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1960.0</td>\n",
       "      <td>17.943500</td>\n",
       "      <td>21.228950</td>\n",
       "      <td>-0.343246</td>\n",
       "      <td>-2.018195</td>\n",
       "      <td>0.590000</td>\n",
       "      <td>0.323200</td>\n",
       "      <td>-0.443500</td>\n",
       "      <td>0.271050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2232.0</td>\n",
       "      <td>18.533500</td>\n",
       "      <td>21.552150</td>\n",
       "      <td>-2.018195</td>\n",
       "      <td>2.477935</td>\n",
       "      <td>0.675300</td>\n",
       "      <td>0.082150</td>\n",
       "      <td>2.966500</td>\n",
       "      <td>-1.052150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2507.0</td>\n",
       "      <td>19.208800</td>\n",
       "      <td>21.634300</td>\n",
       "      <td>2.477935</td>\n",
       "      <td>0.571071</td>\n",
       "      <td>1.068250</td>\n",
       "      <td>-0.378900</td>\n",
       "      <td>5.291200</td>\n",
       "      <td>-4.134300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2966.0</td>\n",
       "      <td>20.277050</td>\n",
       "      <td>21.255400</td>\n",
       "      <td>0.571071</td>\n",
       "      <td>-0.789779</td>\n",
       "      <td>0.339170</td>\n",
       "      <td>-0.215350</td>\n",
       "      <td>2.222950</td>\n",
       "      <td>-1.755400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3128.0</td>\n",
       "      <td>20.616220</td>\n",
       "      <td>21.040050</td>\n",
       "      <td>-0.789779</td>\n",
       "      <td>-0.337983</td>\n",
       "      <td>0.419400</td>\n",
       "      <td>-0.403945</td>\n",
       "      <td>4.883780</td>\n",
       "      <td>-2.540050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3362.0</td>\n",
       "      <td>21.035620</td>\n",
       "      <td>20.636105</td>\n",
       "      <td>-0.337983</td>\n",
       "      <td>1.661715</td>\n",
       "      <td>0.478680</td>\n",
       "      <td>-0.456645</td>\n",
       "      <td>0.464380</td>\n",
       "      <td>-0.136105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3628.0</td>\n",
       "      <td>21.514300</td>\n",
       "      <td>20.179460</td>\n",
       "      <td>1.661715</td>\n",
       "      <td>2.203998</td>\n",
       "      <td>0.181550</td>\n",
       "      <td>-0.122975</td>\n",
       "      <td>-0.014300</td>\n",
       "      <td>0.320540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3716.0</td>\n",
       "      <td>21.695850</td>\n",
       "      <td>20.056485</td>\n",
       "      <td>2.203998</td>\n",
       "      <td>0.201236</td>\n",
       "      <td>0.769700</td>\n",
       "      <td>-0.385835</td>\n",
       "      <td>2.804150</td>\n",
       "      <td>-1.556485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4062.0</td>\n",
       "      <td>22.465550</td>\n",
       "      <td>19.670650</td>\n",
       "      <td>0.201236</td>\n",
       "      <td>-0.022243</td>\n",
       "      <td>0.501050</td>\n",
       "      <td>-0.248100</td>\n",
       "      <td>3.034450</td>\n",
       "      <td>-0.170650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4286.0</td>\n",
       "      <td>22.966600</td>\n",
       "      <td>19.422550</td>\n",
       "      <td>-0.022243</td>\n",
       "      <td>0.587856</td>\n",
       "      <td>1.558250</td>\n",
       "      <td>-1.094800</td>\n",
       "      <td>1.533400</td>\n",
       "      <td>-1.922550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5035.0</td>\n",
       "      <td>24.524850</td>\n",
       "      <td>18.327750</td>\n",
       "      <td>0.587856</td>\n",
       "      <td>0.806424</td>\n",
       "      <td>0.277050</td>\n",
       "      <td>-0.198100</td>\n",
       "      <td>-0.024850</td>\n",
       "      <td>-0.827750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5170.0</td>\n",
       "      <td>24.801900</td>\n",
       "      <td>18.129650</td>\n",
       "      <td>0.806424</td>\n",
       "      <td>-2.691626</td>\n",
       "      <td>0.059000</td>\n",
       "      <td>-0.120050</td>\n",
       "      <td>1.698100</td>\n",
       "      <td>3.370350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5505.0</td>\n",
       "      <td>24.860900</td>\n",
       "      <td>18.009600</td>\n",
       "      <td>-2.691626</td>\n",
       "      <td>0.665952</td>\n",
       "      <td>-0.027550</td>\n",
       "      <td>-0.053450</td>\n",
       "      <td>-0.360900</td>\n",
       "      <td>-0.509600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8883.0</td>\n",
       "      <td>24.833350</td>\n",
       "      <td>17.956150</td>\n",
       "      <td>0.665952</td>\n",
       "      <td>-1.546204</td>\n",
       "      <td>0.088700</td>\n",
       "      <td>0.158900</td>\n",
       "      <td>1.666650</td>\n",
       "      <td>2.543850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>8983.0</td>\n",
       "      <td>24.922050</td>\n",
       "      <td>18.115050</td>\n",
       "      <td>-1.546204</td>\n",
       "      <td>1.570910</td>\n",
       "      <td>0.389850</td>\n",
       "      <td>0.560100</td>\n",
       "      <td>2.577950</td>\n",
       "      <td>6.384950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9257.0</td>\n",
       "      <td>25.311900</td>\n",
       "      <td>18.675150</td>\n",
       "      <td>1.570910</td>\n",
       "      <td>-0.052036</td>\n",
       "      <td>0.362350</td>\n",
       "      <td>0.535850</td>\n",
       "      <td>2.188100</td>\n",
       "      <td>5.824850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9517.0</td>\n",
       "      <td>25.674250</td>\n",
       "      <td>19.211000</td>\n",
       "      <td>-0.052036</td>\n",
       "      <td>1.083871</td>\n",
       "      <td>0.304250</td>\n",
       "      <td>0.692500</td>\n",
       "      <td>2.825750</td>\n",
       "      <td>5.289000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9821.0</td>\n",
       "      <td>25.978500</td>\n",
       "      <td>19.903500</td>\n",
       "      <td>1.083871</td>\n",
       "      <td>-2.246751</td>\n",
       "      <td>0.196500</td>\n",
       "      <td>0.460635</td>\n",
       "      <td>0.521500</td>\n",
       "      <td>1.596500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10022.0</td>\n",
       "      <td>26.175000</td>\n",
       "      <td>20.364135</td>\n",
       "      <td>-2.246751</td>\n",
       "      <td>-1.770693</td>\n",
       "      <td>0.179500</td>\n",
       "      <td>0.420885</td>\n",
       "      <td>0.325000</td>\n",
       "      <td>1.135865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10206.0</td>\n",
       "      <td>26.354500</td>\n",
       "      <td>20.785020</td>\n",
       "      <td>-1.770693</td>\n",
       "      <td>2.775768</td>\n",
       "      <td>0.145000</td>\n",
       "      <td>0.341130</td>\n",
       "      <td>2.145500</td>\n",
       "      <td>3.714980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>10355.0</td>\n",
       "      <td>26.499500</td>\n",
       "      <td>21.126150</td>\n",
       "      <td>2.775768</td>\n",
       "      <td>2.245986</td>\n",
       "      <td>0.298000</td>\n",
       "      <td>0.698350</td>\n",
       "      <td>4.000500</td>\n",
       "      <td>8.373850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10660.0</td>\n",
       "      <td>26.797500</td>\n",
       "      <td>21.824500</td>\n",
       "      <td>2.245986</td>\n",
       "      <td>3.026298</td>\n",
       "      <td>0.288000</td>\n",
       "      <td>0.675450</td>\n",
       "      <td>3.702500</td>\n",
       "      <td>7.675500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10955.0</td>\n",
       "      <td>27.085500</td>\n",
       "      <td>22.499950</td>\n",
       "      <td>3.026298</td>\n",
       "      <td>2.888745</td>\n",
       "      <td>0.270500</td>\n",
       "      <td>0.634350</td>\n",
       "      <td>3.414500</td>\n",
       "      <td>7.000050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>11232.0</td>\n",
       "      <td>27.356000</td>\n",
       "      <td>23.134300</td>\n",
       "      <td>2.888745</td>\n",
       "      <td>-2.769596</td>\n",
       "      <td>0.342000</td>\n",
       "      <td>0.801550</td>\n",
       "      <td>3.144000</td>\n",
       "      <td>7.365700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>11582.0</td>\n",
       "      <td>27.698000</td>\n",
       "      <td>23.935850</td>\n",
       "      <td>-2.769596</td>\n",
       "      <td>0.166907</td>\n",
       "      <td>0.170500</td>\n",
       "      <td>0.400500</td>\n",
       "      <td>0.802000</td>\n",
       "      <td>0.564150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11757.0</td>\n",
       "      <td>27.868500</td>\n",
       "      <td>24.336350</td>\n",
       "      <td>0.166907</td>\n",
       "      <td>-0.014826</td>\n",
       "      <td>0.101500</td>\n",
       "      <td>0.238150</td>\n",
       "      <td>0.631500</td>\n",
       "      <td>0.163650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>11861.0</td>\n",
       "      <td>27.970000</td>\n",
       "      <td>24.574500</td>\n",
       "      <td>-0.014826</td>\n",
       "      <td>2.521873</td>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.397950</td>\n",
       "      <td>2.530000</td>\n",
       "      <td>4.925500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>276410.0</td>\n",
       "      <td>21.754200</td>\n",
       "      <td>26.144500</td>\n",
       "      <td>-0.821232</td>\n",
       "      <td>-0.636686</td>\n",
       "      <td>0.575200</td>\n",
       "      <td>-1.305000</td>\n",
       "      <td>0.745800</td>\n",
       "      <td>-1.644500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1095</th>\n",
       "      <td>276980.0</td>\n",
       "      <td>22.329400</td>\n",
       "      <td>24.839500</td>\n",
       "      <td>-0.636686</td>\n",
       "      <td>-2.813906</td>\n",
       "      <td>0.646550</td>\n",
       "      <td>-1.833200</td>\n",
       "      <td>-4.829400</td>\n",
       "      <td>-11.339500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1096</th>\n",
       "      <td>277760.0</td>\n",
       "      <td>22.975950</td>\n",
       "      <td>23.006300</td>\n",
       "      <td>-2.813906</td>\n",
       "      <td>-0.713830</td>\n",
       "      <td>0.619250</td>\n",
       "      <td>-1.437000</td>\n",
       "      <td>-9.475950</td>\n",
       "      <td>-8.506300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1097</th>\n",
       "      <td>278390.0</td>\n",
       "      <td>23.595200</td>\n",
       "      <td>21.569300</td>\n",
       "      <td>-0.713830</td>\n",
       "      <td>1.545738</td>\n",
       "      <td>-1.730600</td>\n",
       "      <td>-5.157600</td>\n",
       "      <td>-0.095200</td>\n",
       "      <td>-0.069300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1098</th>\n",
       "      <td>282430.0</td>\n",
       "      <td>21.864600</td>\n",
       "      <td>16.411700</td>\n",
       "      <td>1.545738</td>\n",
       "      <td>-1.068382</td>\n",
       "      <td>-0.622485</td>\n",
       "      <td>-0.481700</td>\n",
       "      <td>-8.364600</td>\n",
       "      <td>-1.911700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>282740.0</td>\n",
       "      <td>21.242115</td>\n",
       "      <td>15.930000</td>\n",
       "      <td>-1.068382</td>\n",
       "      <td>-2.809120</td>\n",
       "      <td>-0.427080</td>\n",
       "      <td>-0.330650</td>\n",
       "      <td>-3.742115</td>\n",
       "      <td>-2.430000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100</th>\n",
       "      <td>282960.0</td>\n",
       "      <td>20.815035</td>\n",
       "      <td>15.599350</td>\n",
       "      <td>-2.809120</td>\n",
       "      <td>-1.638319</td>\n",
       "      <td>-0.600285</td>\n",
       "      <td>-0.464850</td>\n",
       "      <td>-2.315035</td>\n",
       "      <td>-2.099350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>283260.0</td>\n",
       "      <td>20.214750</td>\n",
       "      <td>15.134500</td>\n",
       "      <td>-1.638319</td>\n",
       "      <td>2.581867</td>\n",
       "      <td>-1.815100</td>\n",
       "      <td>-1.234000</td>\n",
       "      <td>-7.714750</td>\n",
       "      <td>1.365500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>284150.0</td>\n",
       "      <td>18.399650</td>\n",
       "      <td>13.900500</td>\n",
       "      <td>2.581867</td>\n",
       "      <td>2.468866</td>\n",
       "      <td>-0.170350</td>\n",
       "      <td>-0.092000</td>\n",
       "      <td>-5.899650</td>\n",
       "      <td>2.599500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>284230.0</td>\n",
       "      <td>18.229300</td>\n",
       "      <td>13.808500</td>\n",
       "      <td>2.468866</td>\n",
       "      <td>-1.356277</td>\n",
       "      <td>-0.157300</td>\n",
       "      <td>-0.085500</td>\n",
       "      <td>-4.729300</td>\n",
       "      <td>0.691500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104</th>\n",
       "      <td>284300.0</td>\n",
       "      <td>18.072000</td>\n",
       "      <td>13.723000</td>\n",
       "      <td>-1.356277</td>\n",
       "      <td>-1.496733</td>\n",
       "      <td>-0.291300</td>\n",
       "      <td>-0.158000</td>\n",
       "      <td>-4.572000</td>\n",
       "      <td>0.777000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>284430.0</td>\n",
       "      <td>17.780700</td>\n",
       "      <td>13.565000</td>\n",
       "      <td>-1.496733</td>\n",
       "      <td>1.921172</td>\n",
       "      <td>-4.456700</td>\n",
       "      <td>0.556000</td>\n",
       "      <td>-6.280700</td>\n",
       "      <td>7.935000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>286650.0</td>\n",
       "      <td>13.324000</td>\n",
       "      <td>14.121000</td>\n",
       "      <td>1.921172</td>\n",
       "      <td>0.531226</td>\n",
       "      <td>-0.489000</td>\n",
       "      <td>1.087500</td>\n",
       "      <td>-0.824000</td>\n",
       "      <td>2.379000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>287130.0</td>\n",
       "      <td>12.835000</td>\n",
       "      <td>15.208500</td>\n",
       "      <td>0.531226</td>\n",
       "      <td>-0.038634</td>\n",
       "      <td>-0.595000</td>\n",
       "      <td>1.323550</td>\n",
       "      <td>-0.335000</td>\n",
       "      <td>1.291500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>287710.0</td>\n",
       "      <td>12.240000</td>\n",
       "      <td>16.532050</td>\n",
       "      <td>-0.038634</td>\n",
       "      <td>-0.131740</td>\n",
       "      <td>-0.294500</td>\n",
       "      <td>0.655950</td>\n",
       "      <td>0.260000</td>\n",
       "      <td>-0.032050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>288000.0</td>\n",
       "      <td>11.945500</td>\n",
       "      <td>17.188000</td>\n",
       "      <td>-0.131740</td>\n",
       "      <td>2.010007</td>\n",
       "      <td>-0.659000</td>\n",
       "      <td>1.465150</td>\n",
       "      <td>-0.445500</td>\n",
       "      <td>4.312000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>288640.0</td>\n",
       "      <td>11.286500</td>\n",
       "      <td>18.653150</td>\n",
       "      <td>2.010007</td>\n",
       "      <td>0.782829</td>\n",
       "      <td>-0.574500</td>\n",
       "      <td>1.207200</td>\n",
       "      <td>11.213500</td>\n",
       "      <td>3.846850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>289180.0</td>\n",
       "      <td>10.712000</td>\n",
       "      <td>19.860350</td>\n",
       "      <td>0.782829</td>\n",
       "      <td>-3.047514</td>\n",
       "      <td>-1.122500</td>\n",
       "      <td>1.640200</td>\n",
       "      <td>-1.212000</td>\n",
       "      <td>1.639650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>290020.0</td>\n",
       "      <td>9.589500</td>\n",
       "      <td>21.500550</td>\n",
       "      <td>-3.047514</td>\n",
       "      <td>-2.992454</td>\n",
       "      <td>0.067500</td>\n",
       "      <td>0.095700</td>\n",
       "      <td>-0.089500</td>\n",
       "      <td>-0.000550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1113</th>\n",
       "      <td>290690.0</td>\n",
       "      <td>9.657000</td>\n",
       "      <td>21.596250</td>\n",
       "      <td>-2.992454</td>\n",
       "      <td>2.489062</td>\n",
       "      <td>0.025500</td>\n",
       "      <td>-0.001800</td>\n",
       "      <td>4.843000</td>\n",
       "      <td>-0.096250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1114</th>\n",
       "      <td>291780.0</td>\n",
       "      <td>9.682500</td>\n",
       "      <td>21.594450</td>\n",
       "      <td>2.489062</td>\n",
       "      <td>-2.058732</td>\n",
       "      <td>2.046000</td>\n",
       "      <td>-0.134700</td>\n",
       "      <td>15.817500</td>\n",
       "      <td>0.905550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1115</th>\n",
       "      <td>292620.0</td>\n",
       "      <td>11.728500</td>\n",
       "      <td>21.459750</td>\n",
       "      <td>-2.058732</td>\n",
       "      <td>0.484836</td>\n",
       "      <td>0.949000</td>\n",
       "      <td>0.080600</td>\n",
       "      <td>10.771500</td>\n",
       "      <td>1.040250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1116</th>\n",
       "      <td>293000.0</td>\n",
       "      <td>12.677500</td>\n",
       "      <td>21.540350</td>\n",
       "      <td>0.484836</td>\n",
       "      <td>-2.687995</td>\n",
       "      <td>1.441000</td>\n",
       "      <td>0.347850</td>\n",
       "      <td>12.822500</td>\n",
       "      <td>0.959650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1117</th>\n",
       "      <td>293590.0</td>\n",
       "      <td>14.118500</td>\n",
       "      <td>21.888200</td>\n",
       "      <td>-2.687995</td>\n",
       "      <td>1.234368</td>\n",
       "      <td>0.132000</td>\n",
       "      <td>0.032350</td>\n",
       "      <td>8.381500</td>\n",
       "      <td>0.611800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1118</th>\n",
       "      <td>293650.0</td>\n",
       "      <td>14.250500</td>\n",
       "      <td>21.920550</td>\n",
       "      <td>1.234368</td>\n",
       "      <td>2.971571</td>\n",
       "      <td>4.779550</td>\n",
       "      <td>0.634350</td>\n",
       "      <td>0.249500</td>\n",
       "      <td>-0.420550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1119</th>\n",
       "      <td>295580.0</td>\n",
       "      <td>19.030050</td>\n",
       "      <td>22.554900</td>\n",
       "      <td>2.971571</td>\n",
       "      <td>-2.848684</td>\n",
       "      <td>0.428100</td>\n",
       "      <td>0.023800</td>\n",
       "      <td>6.469950</td>\n",
       "      <td>-0.054900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1120</th>\n",
       "      <td>295750.0</td>\n",
       "      <td>19.458150</td>\n",
       "      <td>22.578700</td>\n",
       "      <td>-2.848684</td>\n",
       "      <td>-0.477854</td>\n",
       "      <td>3.147450</td>\n",
       "      <td>0.174900</td>\n",
       "      <td>0.041850</td>\n",
       "      <td>-0.078700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1121</th>\n",
       "      <td>297020.0</td>\n",
       "      <td>22.605600</td>\n",
       "      <td>22.753600</td>\n",
       "      <td>-0.477854</td>\n",
       "      <td>2.803024</td>\n",
       "      <td>2.318750</td>\n",
       "      <td>0.128850</td>\n",
       "      <td>-0.105600</td>\n",
       "      <td>-0.253600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1122</th>\n",
       "      <td>297930.0</td>\n",
       "      <td>24.924350</td>\n",
       "      <td>22.882450</td>\n",
       "      <td>2.803024</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.911300</td>\n",
       "      <td>0.050650</td>\n",
       "      <td>0.575650</td>\n",
       "      <td>-0.382450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>298300.0</td>\n",
       "      <td>25.835650</td>\n",
       "      <td>22.933100</td>\n",
       "      <td>2.086660</td>\n",
       "      <td>2.086660</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.335650</td>\n",
       "      <td>-0.433100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1124 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Time          X          Y     Phase  Next Phase      Xdif  \\\n",
       "0        593.0  16.410150  19.610800 -2.415867    2.596126  0.150350   \n",
       "1       1166.0  16.560500  19.871800  2.596126    1.315147  1.219600   \n",
       "2       1873.0  17.780100  21.085900  1.315147   -0.343246  0.163400   \n",
       "3       1960.0  17.943500  21.228950 -0.343246   -2.018195  0.590000   \n",
       "4       2232.0  18.533500  21.552150 -2.018195    2.477935  0.675300   \n",
       "5       2507.0  19.208800  21.634300  2.477935    0.571071  1.068250   \n",
       "6       2966.0  20.277050  21.255400  0.571071   -0.789779  0.339170   \n",
       "7       3128.0  20.616220  21.040050 -0.789779   -0.337983  0.419400   \n",
       "8       3362.0  21.035620  20.636105 -0.337983    1.661715  0.478680   \n",
       "9       3628.0  21.514300  20.179460  1.661715    2.203998  0.181550   \n",
       "10      3716.0  21.695850  20.056485  2.203998    0.201236  0.769700   \n",
       "11      4062.0  22.465550  19.670650  0.201236   -0.022243  0.501050   \n",
       "12      4286.0  22.966600  19.422550 -0.022243    0.587856  1.558250   \n",
       "13      5035.0  24.524850  18.327750  0.587856    0.806424  0.277050   \n",
       "14      5170.0  24.801900  18.129650  0.806424   -2.691626  0.059000   \n",
       "15      5505.0  24.860900  18.009600 -2.691626    0.665952 -0.027550   \n",
       "16      8883.0  24.833350  17.956150  0.665952   -1.546204  0.088700   \n",
       "17      8983.0  24.922050  18.115050 -1.546204    1.570910  0.389850   \n",
       "18      9257.0  25.311900  18.675150  1.570910   -0.052036  0.362350   \n",
       "19      9517.0  25.674250  19.211000 -0.052036    1.083871  0.304250   \n",
       "20      9821.0  25.978500  19.903500  1.083871   -2.246751  0.196500   \n",
       "21     10022.0  26.175000  20.364135 -2.246751   -1.770693  0.179500   \n",
       "22     10206.0  26.354500  20.785020 -1.770693    2.775768  0.145000   \n",
       "23     10355.0  26.499500  21.126150  2.775768    2.245986  0.298000   \n",
       "24     10660.0  26.797500  21.824500  2.245986    3.026298  0.288000   \n",
       "25     10955.0  27.085500  22.499950  3.026298    2.888745  0.270500   \n",
       "26     11232.0  27.356000  23.134300  2.888745   -2.769596  0.342000   \n",
       "27     11582.0  27.698000  23.935850 -2.769596    0.166907  0.170500   \n",
       "28     11757.0  27.868500  24.336350  0.166907   -0.014826  0.101500   \n",
       "29     11861.0  27.970000  24.574500 -0.014826    2.521873  0.170000   \n",
       "...        ...        ...        ...       ...         ...       ...   \n",
       "1094  276410.0  21.754200  26.144500 -0.821232   -0.636686  0.575200   \n",
       "1095  276980.0  22.329400  24.839500 -0.636686   -2.813906  0.646550   \n",
       "1096  277760.0  22.975950  23.006300 -2.813906   -0.713830  0.619250   \n",
       "1097  278390.0  23.595200  21.569300 -0.713830    1.545738 -1.730600   \n",
       "1098  282430.0  21.864600  16.411700  1.545738   -1.068382 -0.622485   \n",
       "1099  282740.0  21.242115  15.930000 -1.068382   -2.809120 -0.427080   \n",
       "1100  282960.0  20.815035  15.599350 -2.809120   -1.638319 -0.600285   \n",
       "1101  283260.0  20.214750  15.134500 -1.638319    2.581867 -1.815100   \n",
       "1102  284150.0  18.399650  13.900500  2.581867    2.468866 -0.170350   \n",
       "1103  284230.0  18.229300  13.808500  2.468866   -1.356277 -0.157300   \n",
       "1104  284300.0  18.072000  13.723000 -1.356277   -1.496733 -0.291300   \n",
       "1105  284430.0  17.780700  13.565000 -1.496733    1.921172 -4.456700   \n",
       "1106  286650.0  13.324000  14.121000  1.921172    0.531226 -0.489000   \n",
       "1107  287130.0  12.835000  15.208500  0.531226   -0.038634 -0.595000   \n",
       "1108  287710.0  12.240000  16.532050 -0.038634   -0.131740 -0.294500   \n",
       "1109  288000.0  11.945500  17.188000 -0.131740    2.010007 -0.659000   \n",
       "1110  288640.0  11.286500  18.653150  2.010007    0.782829 -0.574500   \n",
       "1111  289180.0  10.712000  19.860350  0.782829   -3.047514 -1.122500   \n",
       "1112  290020.0   9.589500  21.500550 -3.047514   -2.992454  0.067500   \n",
       "1113  290690.0   9.657000  21.596250 -2.992454    2.489062  0.025500   \n",
       "1114  291780.0   9.682500  21.594450  2.489062   -2.058732  2.046000   \n",
       "1115  292620.0  11.728500  21.459750 -2.058732    0.484836  0.949000   \n",
       "1116  293000.0  12.677500  21.540350  0.484836   -2.687995  1.441000   \n",
       "1117  293590.0  14.118500  21.888200 -2.687995    1.234368  0.132000   \n",
       "1118  293650.0  14.250500  21.920550  1.234368    2.971571  4.779550   \n",
       "1119  295580.0  19.030050  22.554900  2.971571   -2.848684  0.428100   \n",
       "1120  295750.0  19.458150  22.578700 -2.848684   -0.477854  3.147450   \n",
       "1121  297020.0  22.605600  22.753600 -0.477854    2.803024  2.318750   \n",
       "1122  297930.0  24.924350  22.882450  2.803024    0.000000  0.911300   \n",
       "1123  298300.0  25.835650  22.933100  2.086660    2.086660  0.000000   \n",
       "\n",
       "          Ydif  Xdif Predicted  Ydif Predicted  \n",
       "0     0.261000        5.089850        0.889200  \n",
       "1     1.214100        4.939500        0.628200  \n",
       "2     0.143050        0.719900        0.414100  \n",
       "3     0.323200       -0.443500        0.271050  \n",
       "4     0.082150        2.966500       -1.052150  \n",
       "5    -0.378900        5.291200       -4.134300  \n",
       "6    -0.215350        2.222950       -1.755400  \n",
       "7    -0.403945        4.883780       -2.540050  \n",
       "8    -0.456645        0.464380       -0.136105  \n",
       "9    -0.122975       -0.014300        0.320540  \n",
       "10   -0.385835        2.804150       -1.556485  \n",
       "11   -0.248100        3.034450       -0.170650  \n",
       "12   -1.094800        1.533400       -1.922550  \n",
       "13   -0.198100       -0.024850       -0.827750  \n",
       "14   -0.120050        1.698100        3.370350  \n",
       "15   -0.053450       -0.360900       -0.509600  \n",
       "16    0.158900        1.666650        2.543850  \n",
       "17    0.560100        2.577950        6.384950  \n",
       "18    0.535850        2.188100        5.824850  \n",
       "19    0.692500        2.825750        5.289000  \n",
       "20    0.460635        0.521500        1.596500  \n",
       "21    0.420885        0.325000        1.135865  \n",
       "22    0.341130        2.145500        3.714980  \n",
       "23    0.698350        4.000500        8.373850  \n",
       "24    0.675450        3.702500        7.675500  \n",
       "25    0.634350        3.414500        7.000050  \n",
       "26    0.801550        3.144000        7.365700  \n",
       "27    0.400500        0.802000        0.564150  \n",
       "28    0.238150        0.631500        0.163650  \n",
       "29    0.397950        2.530000        4.925500  \n",
       "...        ...             ...             ...  \n",
       "1094 -1.305000        0.745800       -1.644500  \n",
       "1095 -1.833200       -4.829400      -11.339500  \n",
       "1096 -1.437000       -9.475950       -8.506300  \n",
       "1097 -5.157600       -0.095200       -0.069300  \n",
       "1098 -0.481700       -8.364600       -1.911700  \n",
       "1099 -0.330650       -3.742115       -2.430000  \n",
       "1100 -0.464850       -2.315035       -2.099350  \n",
       "1101 -1.234000       -7.714750        1.365500  \n",
       "1102 -0.092000       -5.899650        2.599500  \n",
       "1103 -0.085500       -4.729300        0.691500  \n",
       "1104 -0.158000       -4.572000        0.777000  \n",
       "1105  0.556000       -6.280700        7.935000  \n",
       "1106  1.087500       -0.824000        2.379000  \n",
       "1107  1.323550       -0.335000        1.291500  \n",
       "1108  0.655950        0.260000       -0.032050  \n",
       "1109  1.465150       -0.445500        4.312000  \n",
       "1110  1.207200       11.213500        3.846850  \n",
       "1111  1.640200       -1.212000        1.639650  \n",
       "1112  0.095700       -0.089500       -0.000550  \n",
       "1113 -0.001800        4.843000       -0.096250  \n",
       "1114 -0.134700       15.817500        0.905550  \n",
       "1115  0.080600       10.771500        1.040250  \n",
       "1116  0.347850       12.822500        0.959650  \n",
       "1117  0.032350        8.381500        0.611800  \n",
       "1118  0.634350        0.249500       -0.420550  \n",
       "1119  0.023800        6.469950       -0.054900  \n",
       "1120  0.174900        0.041850       -0.078700  \n",
       "1121  0.128850       -0.105600       -0.253600  \n",
       "1122  0.050650        0.575650       -0.382450  \n",
       "1123  0.000000       -0.335650       -0.433100  \n",
       "\n",
       "[1124 rows x 9 columns]"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Spatial Analysis\n",
    "if analysis_type == 'spatial':\n",
    "    predicted = [adjacent_matrix([i[1],i[2]],i[4]) for i in combined]\n",
    "    predicted_movement = np.asarray(predicted)\n",
    "\n",
    "# Temporal Analysis    \n",
    "if analysis_type == 'temporal':\n",
    "    diff = int(len(spkT)/100)\n",
    "    if diff<5:\n",
    "        diff=5\n",
    "    predicted = [adjacent_spikes(combined[i:i+diff,1:3],combined[i,4]) for i in range(len(combined))]\n",
    "    predicted_movement = np.asarray(predicted)\n",
    "    \n",
    "all=np.column_stack((combined,predicted_movement))\n",
    "df = pd.DataFrame(data=all, columns=['Time','X','Y','Phase','Next Phase','Xdif','Ydif','Xdif Predicted', 'Ydif Predicted'])\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = [20, 15]\n",
    "ax = plt.subplot()\n",
    "#plt.plot(xyPos[:,0]/2, xyPos[:,1]/2, color='b')\n",
    "plt.plot(scaled_XY[:,0], scaled_XY[:,1], '.', color='r', markersize=6)\n",
    "for index, row in df.iterrows():\n",
    "    # if (row['Xdif Predicted']>0) or (row['Ydif Predicted']>0):\n",
    "    plt.arrow(row['X'], row['Y'], row['Xdif Predicted'], row['Ydif Predicted'],\n",
    "                head_width=0.2, color='black')\n",
    "\n",
    "ax.set_xticks(np.arange(scaled_XY[:,0].min()-1,scaled_XY[:,0].max()+2))\n",
    "ax.set_yticks(np.arange(scaled_XY[:,1].min()-1,scaled_XY[:,1].max()+1))\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vector Angles\n",
    "\n",
    "Calculates the angle between each movements observed and predicted vector angle to store in a list for use\n",
    "in the correlation figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Determines the angle between the horizontal axis (+1 x, +0 y) and the current vector, returns [observed,predicted]\n",
    "def abs_vector_angles(arr):\n",
    "    \n",
    "    obs_angles = []\n",
    "    pred_angles = []\n",
    "    \n",
    "    for i in range(len(arr)-1):\n",
    "        p0 = [all[i,1]+1,all[i,2]]\n",
    "        p1 = [all[i,1],all[i,2]]\n",
    "        p2 = [all[i+1,1],all[i+1,2]]\n",
    "        v0 = np.array(p0) - np.array(p1)\n",
    "        v1 = np.array(p2) - np.array(p1)\n",
    "        atan = np.math.atan2(np.linalg.det([v0,v1]),np.dot(v0,v1))\n",
    "        if np.degrees(atan)<0:\n",
    "            obs_angles.append(360+np.degrees(atan))\n",
    "        else:\n",
    "            obs_angles.append(np.degrees(atan))\n",
    "        \n",
    "    for i in range(len(arr)-1):\n",
    "        p0 = [all[i,1]+1,all[i,2]]\n",
    "        p1 = [all[i,1],all[i,2]]\n",
    "        p2 = [all[i,1]+all[i,7],all[i,2]+all[i,8]]\n",
    "        v0 = np.array(p0) - np.array(p1)\n",
    "        v1 = np.array(p2) - np.array(p1)\n",
    "        atan = np.math.atan2(np.linalg.det([v0,v1]),np.dot(v0,v1))\n",
    "        if np.degrees(atan)<0:\n",
    "            pred_angles.append(360+np.degrees(atan))\n",
    "        else:\n",
    "            pred_angles.append(np.degrees(atan))\n",
    "        \n",
    "    return(list(zip(obs_angles,pred_angles)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Linear r correlation : 0.5928144764822179\n",
      "Circular r correlation: 0.65238839439041\n"
     ]
    }
   ],
   "source": [
    "angles = np.asarray(abs_vector_angles(all))\n",
    "\n",
    "print('Linear r correlation : ' + str(pearsonr(angles[:,0],angles[:,1])[0]))\n",
    "print('Circular r correlation: ' + str(pycircstat.corrcc(np.radians(angles[:,0]),np.radians(angles[:,1]))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfa = pd.DataFrame(angles, columns=['Observed', 'Predicted'])\n",
    "sns.jointplot(x='Observed',y='Predicted',data=dfa,kind='kde');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "heatmap, xedges, yedges = np.histogram2d(angles[:,0], angles[:,1], bins=30)\n",
    "extent = [xedges[0], xedges[-1], yedges[0], yedges[-1]]\n",
    "\n",
    "plt.clf()\n",
    "plt.imshow(heatmap.T, extent=extent, origin='lower',cmap='afmhot')\n",
    "plt.ylabel('Predicted Heading Direction')\n",
    "plt.xlabel('Observed Heading Direction')\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "heatmap2, xedges, yedges = np.histogram2d(angles[:,0], angles[:,1], bins=30)\n",
    "extent2 = [xedges[0], xedges[-1], yedges[0], yedges[-1]]\n",
    "\n",
    "plt.clf()\n",
    "plt.imshow(heatmap2.T, extent=extent, origin='lower',cmap='afmhot')\n",
    "plt.ylabel('Predicted Heading Direction')\n",
    "plt.xlabel('Observed Heading Direction')\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test = heatmap.T-heatmap2.T\n",
    "\n",
    "plt.clf()\n",
    "plt.imshow(test, extent=extent, origin='lower')\n",
    "plt.ylabel('Predicted Heading Direction')\n",
    "plt.xlabel('Observed Heading Direction')\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing Area\n",
    "\n",
    "Sandbox for developing new features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "diff = np.sort(angles[:,0]-angles[:,1])\n",
    "\n",
    "fig = plt.figure(figsize=(8,8))\n",
    "ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True)\n",
    "theta = np.radians(np.arange(diff.min(),diff.max()+6,6))\n",
    "\n",
    "inds = [np.where(diff<i)[0][-1] for i in np.arange(diff.min()+6,diff.max()+6,6)] #vectorize operation?\n",
    "b = np.split(diff,inds)\n",
    "radii = np.array([i.size for i in b])\n",
    "\n",
    "width = np.radians(360/60)\n",
    "bars = ax.bar(theta, radii, width=width, bottom=0.0)\n",
    "for theta, bar in zip(theta, bars):\n",
    "    bar.set_facecolor(plt.cm.hsv(theta/6.28))\n",
    "    bar.set_alpha(0.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "operands could not be broadcast together with shapes (8,) (0,) ",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-115-3b75f9efca3c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcombined\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0madjacent_spikes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcombined\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0mdiff\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcombined\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-105-39e7ba632589>\u001b[0m in \u001b[0;36madjacent_spikes\u001b[1;34m(spikes, phase)\u001b[0m\n\u001b[0;32m     57\u001b[0m     \u001b[0mphases\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mphases\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     58\u001b[0m     \u001b[0mvars\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvars\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m     \u001b[0mdiffs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mabs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mphases\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mphase\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mvars\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     61\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: operands could not be broadcast together with shapes (8,) (0,) "
     ]
    }
   ],
   "source": [
    "for i in range(len(combined)):\n",
    "    print(i)\n",
    "    print(adjacent_spikes(combined[i:i+diff,1:3],combined[i,4]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "only size-1 arrays can be converted to Python scalars",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-114-2e5c1761567c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcombined\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1123\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: only size-1 arrays can be converted to Python scalars"
     ]
    }
   ],
   "source": [
    "int(combined[1123])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25.83565"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[1123:1130,1:3][0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([170190.     ,     16.55895,     12.094  ,      0.4021 ])"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unsorted[374]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arena_size[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "23.0075>arena_size[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
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       "  <tbody>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.534737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.697299</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-0.338147</td>\n",
       "      <td>1.305136</td>\n",
       "      <td>1.482000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.569457</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1.379418</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.199304</td>\n",
       "      <td>-1.147857</td>\n",
       "      <td>-0.188515</td>\n",
       "      <td>-0.234650</td>\n",
       "      <td>0.980869</td>\n",
       "      <td>0.753501</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.381331</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.990448</td>\n",
       "      <td>-2.025041</td>\n",
       "      <td>-2.421085</td>\n",
       "      <td>-1.316882</td>\n",
       "      <td>-2.177685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.279875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.286925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.368360</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.136286</td>\n",
       "      <td>-1.353078</td>\n",
       "      <td>-1.692445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.628396</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.020238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.182964</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.561558</td>\n",
       "      <td>-1.514258</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.714544</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.612752</td>\n",
       "      <td>-2.674058</td>\n",
       "      <td>-2.502464</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.623910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.301808</td>\n",
       "      <td>0.252643</td>\n",
       "      <td>0.224913</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.358708</td>\n",
       "      <td>2.032480</td>\n",
       "      <td>-2.859865</td>\n",
       "      <td>-2.825812</td>\n",
       "      <td>-2.760561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1.116426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.179491</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.742094</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.134179</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.691025</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.547450</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.037440</td>\n",
       "      <td>1.292650</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.037965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.258004</td>\n",
       "      <td>-2.499864</td>\n",
       "      <td>2.777454</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.405899</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.843399</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.771080</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.019109</td>\n",
       "      <td>3.098289</td>\n",
       "      <td>-2.574897</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.823916</td>\n",
       "      <td>-0.528996</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.810175</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.349195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.183966</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.036474</td>\n",
       "      <td>3.121771</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.460306</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-2.273710</td>\n",
       "      <td>-2.751074</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.728908</td>\n",
       "      <td>-0.448250</td>\n",
       "      <td>0.283568</td>\n",
       "      <td>-0.088258</td>\n",
       "      <td>-0.590850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.086443</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.572671</td>\n",
       "      <td>3.073682</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-2.153966</td>\n",
       "      <td>-2.383130</td>\n",
       "      <td>-3.056437</td>\n",
       "      <td>-1.823286</td>\n",
       "      <td>-1.217249</td>\n",
       "      <td>-1.380143</td>\n",
       "      <td>-0.299912</td>\n",
       "      <td>-0.406868</td>\n",
       "      <td>-0.178521</td>\n",
       "      <td>0.219584</td>\n",
       "      <td>...</td>\n",
       "      <td>0.093014</td>\n",
       "      <td>-2.177950</td>\n",
       "      <td>-2.295811</td>\n",
       "      <td>-2.541829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.466140</td>\n",
       "      <td>-1.291811</td>\n",
       "      <td>0.794075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-2.514928</td>\n",
       "      <td>-2.961084</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.107610</td>\n",
       "      <td>-1.905126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.605115</td>\n",
       "      <td>...</td>\n",
       "      <td>1.174874</td>\n",
       "      <td>1.511518</td>\n",
       "      <td>-2.605819</td>\n",
       "      <td>-2.290524</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.612527</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.794075</td>\n",
       "      <td>0.107312</td>\n",
       "      <td>-0.417608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.963188</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.935023</td>\n",
       "      <td>-2.233368</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.058294</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.514628</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.489802</td>\n",
       "      <td>-2.400522</td>\n",
       "      <td>-1.655098</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.908977</td>\n",
       "      <td>0.754813</td>\n",
       "      <td>0.167075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.584160</td>\n",
       "      <td>-2.583284</td>\n",
       "      <td>-2.116089</td>\n",
       "      <td>-2.180532</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.498073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.061421</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.029187</td>\n",
       "      <td>-1.721514</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.801350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2.546471</td>\n",
       "      <td>1.833722</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.822041</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.760085</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.022507</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.286668</td>\n",
       "      <td>3.099484</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.146165</td>\n",
       "      <td>1.001324</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.178471</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.773980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.001324</td>\n",
       "      <td>1.491094</td>\n",
       "      <td>2.150736</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.369205</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.011865</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.589257</td>\n",
       "      <td>-2.758710</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.272033</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.211445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.597188</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.544867</td>\n",
       "      <td>-0.624591</td>\n",
       "      <td>0.475525</td>\n",
       "      <td>2.640915</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.024307</td>\n",
       "      <td>3.128726</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.120860</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.665348</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>26 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4         5         6   \\\n",
       "0  -2.923816       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "1  -2.534737       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "2  -1.697299       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "3  -1.379418       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "4   1.381331       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "5   2.368360       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "6   2.182964       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "7  -0.623910       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "8   1.116426       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "9   0.547450       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "10  0.843399       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "11 -0.810175       NaN       NaN       NaN       NaN       NaN  1.349195   \n",
       "12 -2.273710 -2.751074       NaN       NaN -1.728908 -0.448250  0.283568   \n",
       "13 -2.153966 -2.383130 -3.056437 -1.823286 -1.217249 -1.380143 -0.299912   \n",
       "14 -2.514928 -2.961084       NaN -3.107610 -1.905126       NaN       NaN   \n",
       "15       NaN -2.963188       NaN       NaN -2.935023 -2.233368       NaN   \n",
       "16       NaN  2.514628       NaN       NaN -2.489802 -2.400522 -1.655098   \n",
       "17       NaN       NaN -2.584160 -2.583284 -2.116089 -2.180532       NaN   \n",
       "18       NaN       NaN       NaN -2.029187 -1.721514       NaN       NaN   \n",
       "19       NaN       NaN       NaN       NaN -0.760085       NaN       NaN   \n",
       "20       NaN       NaN       NaN       NaN       NaN  0.146165  1.001324   \n",
       "21       NaN       NaN       NaN       NaN       NaN       NaN  1.001324   \n",
       "22       NaN       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "23       NaN       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "24       NaN       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "25       NaN       NaN       NaN       NaN       NaN       NaN       NaN   \n",
       "\n",
       "          7         8         9   ...        13        14        15        16  \\\n",
       "0        NaN       NaN       NaN  ...       NaN       NaN       NaN       NaN   \n",
       "1        NaN       NaN       NaN  ...       NaN       NaN       NaN       NaN   \n",
       "2        NaN       NaN       NaN  ...       NaN       NaN -0.338147  1.305136   \n",
       "3        NaN       NaN       NaN  ...       NaN -1.199304 -1.147857 -0.188515   \n",
       "4        NaN       NaN       NaN  ...       NaN -1.990448 -2.025041 -2.421085   \n",
       "5        NaN       NaN       NaN  ...       NaN -1.136286 -1.353078 -1.692445   \n",
       "6        NaN       NaN       NaN  ...       NaN -1.561558 -1.514258       NaN   \n",
       "7        NaN       NaN       NaN  ... -1.301808  0.252643  0.224913       NaN   \n",
       "8        NaN       NaN       NaN  ... -2.179491       NaN -1.742094       NaN   \n",
       "9        NaN  1.037440  1.292650  ...       NaN       NaN  3.037965       NaN   \n",
       "10       NaN  0.771080       NaN  ...       NaN  3.019109  3.098289 -2.574897   \n",
       "11       NaN       NaN -2.183966  ...       NaN  3.036474  3.121771       NaN   \n",
       "12 -0.088258 -0.590850       NaN  ...       NaN       NaN  3.086443       NaN   \n",
       "13 -0.406868 -0.178521  0.219584  ...  0.093014 -2.177950 -2.295811 -2.541829   \n",
       "14       NaN       NaN  0.605115  ...  1.174874  1.511518 -2.605819 -2.290524   \n",
       "15       NaN       NaN       NaN  ...       NaN  0.058294  0.004792       NaN   \n",
       "16       NaN       NaN       NaN  ...       NaN  0.908977  0.754813  0.167075   \n",
       "17 -0.498073       NaN       NaN  ...       NaN  1.061421       NaN       NaN   \n",
       "18       NaN  0.801350       NaN  ...  2.546471  1.833722       NaN -2.822041   \n",
       "19       NaN       NaN  1.022507  ...       NaN       NaN  2.286668  3.099484   \n",
       "20       NaN       NaN       NaN  ...       NaN  0.178471       NaN  2.773980   \n",
       "21  1.491094  2.150736       NaN  ...       NaN -0.369205       NaN  2.011865   \n",
       "22       NaN  2.589257 -2.758710  ... -0.272033       NaN       NaN  2.211445   \n",
       "23       NaN       NaN -2.597188  ... -0.544867 -0.624591  0.475525  2.640915   \n",
       "24       NaN       NaN       NaN  ... -2.024307  3.128726       NaN -3.120860   \n",
       "25       NaN       NaN       NaN  ...       NaN       NaN       NaN -1.665348   \n",
       "\n",
       "          17        18        19        20        21        22  \n",
       "0        NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "1        NaN       NaN  1.906160       NaN       NaN       NaN  \n",
       "2   1.482000       NaN  1.569457       NaN       NaN       NaN  \n",
       "3  -0.234650  0.980869  0.753501       NaN       NaN       NaN  \n",
       "4  -1.316882 -2.177685       NaN  2.279875       NaN -1.286925  \n",
       "5        NaN       NaN  2.628396       NaN       NaN -2.020238  \n",
       "6  -0.714544       NaN -2.612752 -2.674058 -2.502464       NaN  \n",
       "7   1.358708  2.032480 -2.859865 -2.825812 -2.760561       NaN  \n",
       "8        NaN -1.134179       NaN       NaN  2.691025       NaN  \n",
       "9  -2.258004 -2.499864  2.777454       NaN  1.405899       NaN  \n",
       "10       NaN       NaN       NaN  0.823916 -0.528996       NaN  \n",
       "11       NaN       NaN       NaN -1.460306       NaN       NaN  \n",
       "12 -2.572671  3.073682       NaN       NaN       NaN       NaN  \n",
       "13       NaN -2.466140 -1.291811  0.794075       NaN       NaN  \n",
       "14       NaN -2.612527       NaN  0.794075  0.107312 -0.417608  \n",
       "15       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "16       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "17       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "18       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "19       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "20       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "21       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "22       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "23       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "24       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "25       NaN       NaN       NaN       NaN       NaN       NaN  \n",
       "\n",
       "[26 rows x 23 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phase_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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