{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "50e79b11",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T11:17:21.498334Z",
     "start_time": "2022-01-15T11:17:19.178844Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.0.9.4'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import signal\n",
    "import time\n",
    "\n",
    "import spkit as sp\n",
    "sp.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1148937e",
   "metadata": {},
   "source": [
    "## Sinewave with 2 frequencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eafe0189",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T11:18:31.376701Z",
     "start_time": "2022-01-15T11:18:31.187210Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x233fb6746a0>]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fs=100\n",
    "t=np.arange(0,10,1/fs)\n",
    "f0 = 1.5\n",
    "x  = 0.5*np.sin(2*np.pi*10*t)#*np.exp(t)\n",
    "x += 0.5*np.sin(2*np.pi*20*t)# + 0.5*np.sin(2*np.pi*40*t)\n",
    "plt.figure(figsize=(8,3))\n",
    "plt.plot(t,x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a91e8be",
   "metadata": {},
   "source": [
    "## Spectrogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5045ba33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T11:19:16.323005Z",
     "start_time": "2022-01-15T11:19:16.142349Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAEKCAYAAADUwrbCAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAp4klEQVR4nO3de7QlZ1nn8e/T5xy6OzeScMl0SEK4O6wM1x5Qggx3BTKEYQgLRjQCTntBBrwAERWWOroCCAuc5Ti2BAnDLeESaBDBGIwRlUgngglGFwy0ISSmJSSQkE7T5+SZP3bt7urq962qXbtqV721f5+1zjq7LrvqfWs/9T51L3N3REREJA2b+i6AiIiI1KfELSIikhAlbhERkYQocYuIiCREiVtERCQhStwiIiIJWe1y4ma2B7gd2ADW3X27mZ0IXAScDuwBXujut3ZZDhERkbFYxB73U9z9Ue6+Pes+D7jM3R8CXJZ1i4iISA19HCo/G7gw+3wh8LweyiAiIpIk6/LJaWb2deBWwIE/dPedZnabux+fG+dWdz8h8N0dwI5J19pj4d6dlVNERGRYbsP9TgsN6Tpxn+zuN5rZfYFLgVcCu+ok7sOnc7IfzOEiIiKjtxP3G4OJu9ND5e5+Y/Z/L3AJ8DjgZjPbBpD939tlGURERMaks8RtZkeb2bHTz8AzgWuBXcC52WjnAh/vqgwiIiJj0+XtYCcBl5jZdD7vd/dPm9kXgIvN7OXA9cA5HZZBRERkVDpL3O7+NeCRgf63AE/rar4iIiJjpieniYiIJESJW0REJCFK3CIiIglR4hYREUmIEreIiEhClLhFREQSosQtIiKSECVuERGRhChxi4iIJESJW0REJCFK3CIiIglR4hYREUmIEreIiEhClLhFREQSosQtIiKSECVuERGRhChxi4iIJESJW0REJCFK3CIiIglR4hYREUmIEreIiEhClLhFREQSosQtIiKSECVuERGRhChxi4iIJESJW0REJCFK3CIiIglR4hYREUmIEreIiEhClLhFREQSosQtIiKSECVuERGRhChxi4iIJESJW0REJCFK3CIiIgnpPHGb2YqZ/b2ZfTLrPtHMLjWzr2T/T+i6DCIiImOxiD3uVwHX5brPAy5z94cAl2XdIiIiUkOnidvMTgGeA7wz1/ts4MLs84XA87osg4iIyJh0vcf9duC1wN25fie5+00A2f/7hr5oZjvMbLeZ7YY7Oy6miIhIGjpL3GZ2FrDX3a9q8n133+nu2919OxzVculERETStNrhtM8Enmtmzwa2AMeZ2XuBm81sm7vfZGbbgL0dlkFERGRUOtvjdvdfcfdT3P104EXAZ939JcAu4NxstHOBj3dVBhERkbHp4z7u84FnmNlXgGdk3SIiIlJDl4fKD3L3y4HLs8+3AE9bxHxFRETGRk9OExERSYgSt4iISEKUuEVERBKixC0iIpIQJW4REZGEKHGLiIgkRIlbREQkIUrcIiIiCVHiFhERSYgSt4iISEKUuEVERBKixC0iIpIQJW4REZGEKHGLiIgkRIlbREQkIUrcIiIiCVHiFhERSYgSt4iISEKUuEVERBKixC0iIpIQJW4REZGEKHGLiIgkRIlbREQkIUrcIiIiCVHiFhERSchq2UAz+yHgJcAPA9uAfcC1wJ8A73X373ReQhERETkousdtZn8K/BTwGeBHmSTuhwO/BmwBPm5mz11EIUVERGTC3D08wOze7v6t0i/XGKcNZic77Oh6NiIiIgOxE/cbLTQkusc9Tchm9utmdmp+mJntyI8jIiIii1Hn4rRXAp8xs6fk+v1MR+URERGREnUS9zeZnOM+38xek/UL7r6LiIhIt2rdDubu1wP/CXi4mX0I2NppqURERCSoTuLeDeDud7n7S4HLgXt0WSgREREJq0zc7v7fC92/7+4P7K5IIiIiEhN9AIuZXQOE7xUD3P0RZRM2sy3AFcDmbD4fdvc3mtmJwEXA6cAe4IXufuvMJRcREVlCZU9OOyv7b0yelPbsGae9H3iqu99hZmvA57KHujwfuMzdzzez84DzgNfNOG0REZGlFE3c7v4v089mtj/fXYdPnuxyR9a5lv05cDbw5Kz/hUzOmStxi4iI1NDpS0bMbMXMvgjsBS519yuBk9z9JoDs/30j391hZrvNbDfc2WUxRUREklF2jvsxuc6tZvZocvdvu/vVVRN39w3gUWZ2PHCJmZ1Rt2DuvhPYOSnLydFz7SIiIsuk7Bz3W3Of/xV4W67bgafWnYm732ZmlzN5kMvNZrbN3W8ys21M9sZFRESkhrJz3E+JDavDzO4DHMiS9lbg6cCbgF3AucD52f+PzzMfERGRZVJ2qPyJ7v65kuHHAae5+7WRUbYBF5rZCpNz6Re7+yfN7G+Bi83s5cD1wDnNiy8iIrJcyg6V/1czezPwaeAq4N+YvIf7wcBTgPsDvxT7srv/A/DoQP9bgKfNUWYREZGlVXao/BfM7ATgBUz2ircB+4DrgD8s2xsXERGRbpTtcZM90eyPsj8RERHpWaf3cYuIiEi7lLhFREQSosQtIiKSkMrEnT129BXZhWoiIiLSozp73C8CTga+YGYfNLMfMTOr+pKIiIi0rzJxu/tX3f1XgYcC7wfeBVxvZr+RvVtbREREFqTWOW4zewSTZ5e/BfgIk3u7vwt8truiiYiISFHpfdwAZnYVcBtwAXCeu+/PBl1pZmd2WDYREREpqEzcwDnu/rXQAHd/fsvliTBgbTGzEhER6V38UrI6h8p/Knuf9mRSZieY2f9soVQiIiIyozp73M9y99dPO9z9VjN7NvBr3RWryIEDi5udiIhIrzw6pM4e94qZbZ52ZO/W3lwyvoiIiHSkzh73e4HLzOyPmWwCvAy4sNNSiYiISFBl4nb3N5vZNUzeoW3Ab7n7ZzovmYiIiByhzh437v6nwJ92XJYSuqpcRESWSfyq8jr3cT8feBNw32xKBri7H9dW8aoZNbcxRERERmCOxA28GfjP7n5da+URERGRRupcVX6zkraIiMgw1Nnj3m1mFwEfA6aPO8XdP9pVoY7kwPriZiciItKr+H3cdRL3ccCdwDMLU1xw4tYDWEREZFnMkbjd/aWtlkVEREQaq3NV+UOBPwBOcvczsld8PtfdF/i88k3A1sXNbmHaPvw/tCvvx16/to15eY25bl0Y+/Iae/3aEL8ErU5t/wh4DfCHAO7+D2b2fmCBiXuFyRH7lAzl0P6i7n8fQn2HfK//Mi2fIdQVhhsPy7Z8hlDfocZCmZXokDqJ+yh3/zuzw+4pW/CVYivAsYud5VKYJZiHsPJJtxQPMqVY6N98iftbZvYgsjPlZvYC4KZ2ClaXMb5D5V1t+3R1yGjW6aZWvz6luKwUD91JbVkpFrox3wNYXgHsBH7AzL4JfB14STsFq8uBfYudZbLqbv02XXn6Xjm0dV/f2GMBFA+zGHs8jC0W5ruq/GvA083saGCTu9/eYslq2gB6mO1g5H+msdzPPq3TWOqzKMVVdizLT/HQjNqG8dqIDqlzVfkbCt0AuPtvzlus+g4ANy9udiIiIr2KH0Goc2zje7nPW4CzgAU/AvUewP0WO8tWDGGLcVGHr5aprk0MYfnAYpbREOo65FiA5VpGy1TXNt0jOqTOofK35rvN7HeBXfMXahZrwCmLnWVn6pyHqXuuJnblZ6h/7Keue/VorEyhlTI27rz1qjs8JW3FQ9kyKQ4bUyzUHScFahuqLVPbEK9Lk82Qo4AHNi5LE8ffE578rIXOcmZVG5Wh4bHv1N1ALf56Zd2xz2X9YmVZn/FzWb+QWFlmKXfVsK61FQ+z7Kw0+f3bjIVid1k8zFOvWfrNMrwrQ24bqsaL9YuVRW1Dey6/Z3RQnXPc13Do8rYV4D7AAs9vAycBv7zQObarLCjbPIo0SyKv03+qaZLpsm51hw1NX7EQ6tck+dVNKF3GAjSP5aFR2zC/sbQNRSUnpOtU66zc53Umr/lc6EmLBxzzVX77zOctcpYiIiK9+dVjvhodVidxF+/DOi7/FDV3/3boS2Z2KvAe4N8BdwM73f0dZnYicBFwOrAHeKG731pWgBNv+w4v3vXxGkXtWejq/bItzY2S8WL9IL61vBLoVxwWOkRWFgWx8k//b1T0L5tGXp29v1D9Yt8tjr9osTs5YocMi+M3jYf859hvXhYLoe5YGUKfq+Kh7p5XVTzEYiH23T5jAYbTNhRjpazNCE2vrAxqG1r11tviw8w9fpM3gJntAU4FbmXyKJfjgeuzwe7uwfPdZrYN2ObuV5vZscBVwPOAnwS+7e7nm9l5wAnu/rqyMmw/ynz3w0qLOQxVjfI60aCeHsNYzwX1gcjKuZYLxtUVsPwKt5L9z3+mpF8s4GPln/7fyNVnnSPrmA0v1itWp1C9oFA3AuWf9iuWP9S9SLEGqawxK8QCzBYPhy2z/G9b/O1jw2H2eAj99sX4CNStKh5qx0K+uyye+z5kOtS2ITQ8302uu6r80/+htiEwfGnbhpq2/zPsvtODj0+rU/xPA7vc/VMAZvYs4Onu/ktlX3L3m8gejerut5vZdUzu6TobeHI22oXA5UBp4t6/D77yxRol7VH+msj1XL/i5/z/2PD8NGJWOXTN4SqTB8KuZX/57q2h4SuTFWF1NftfXBEy+RXrwDqsr2f/Nybl3Meh/+uRz7PUazr7fL3WCv3XCv2L4+ank5/WohXj4UDhc/7/dPxYf6i/3IrLJhYHq0yuMm0SC3B4POzbOFTmYkxMu0PxXyfG8/Uq1jEWA0OPhWm/RbQNWzl8eeW7F9k25NuCOwP1rapXWduwlhtW7B/6HoV+Q7W/ZFidPe6r3P2xhX673X173QKY2enAFcAZwPXufnxu2K3ufkLgOzuAHQCnGY/96sBfDpbfWlxfP9RvGshVK2oogMtukIgFab6hXgO2bp6shFs35/bENhPf4yoq2YM6sD9ruO+a1HO6QhYT9r7cpKrqNC1ObAWNrrAruT3PXF3WYvXqUFksQHkiC8XJ9HNMaFltDXzemi2jrVuyvbEtlB+hKYrtVe2fNOTrG5NY2Lf/yA23YkzMEuP5z2X98skHDiWgw6Y5gHiYdg++bSiLhWlh5mgbpp+nk1qGtmEWP3gHXLXefI/7W2b2a8B7mVxd/hLglrozN7NjgI8Ar3b37xbeMhbl7juZPCOd7fc3X3t93Tn2Yw3Ch8OKgQ1HBjq57tBhqJDQYfDiSrc5MCx2yCwmVuZ1WFuHtf1wVNZ45xvy4CGzOnWa1idfr3x9Y4f0io1MjyvlwS359cD/yCmFw4avB75bd7kVl1FZDIQS93Q6MaE67Adbh7UNWLsLjpuOcxfhQ+bF2K9br+nn4mHeWB3y9eg7HoptQ2i9KnYXY6NOLMCR60No3Z/2i228zds27J+0D523DbHTQUS68/8Hzn4nPqxOFV4MvBG4hEniviLrVz1jszUmSft97v7RrPfNZrbN3W/KzoPvrZrO7fc5ms/+9CPqzLJ3K7noW8kicjXrt5L7Xzbs8OkdeQBpI/vZNrKonf5fZ4UNVtk4OIeVw8bN959OZ+Ng5HPYtA6vx7Rsh8q8Upji6mF1C/erU6d8GUJ1i9W7bBp9idV5Nbc8Qsv28P6zL7fYb1+Mj7Jlm/98ZEweKnOxLvnfPt9dVe+69ZqWNz9OsS7F7xfr1Zchtg358bpsG4r1C8VCVZ3yZQjVLVbvsmkM2e1/9A/RYZWJO7tq/FVmdoy731F3pjbZtb4AuM7d35YbtAs4Fzg/+195ufj1nMqreEfdWQ9CcSWb9Du88a4eP7wJGgq8YqBO+oWDuTheftyyMhfLXdYIFxudw6c5e71C5Q6VeagrZVWjG1quVdOYijWwEE5yxfGKsZAff9YylyWnUB3aioVQmccQC6HxY/2gXixM+qfTNsR+x7G0DTHX8xPRYXXOcT8BeCdwjLufZmaPBH7a3X+u4ntPBP4KuIbJ7WAArweuBC4GTmNydfo5sVvKDk7rntudJ+wuLWcywjsY7er7UNAy1LENy7CclqGObVmGZbUMdWzL32zHv7M7eG65TuK+EngBkyvLH531u9bdz2i9oNEybHf4wqJmN6c6kVnnubx1phOL0DrPpq53rcGRQvFSLOsszy4uqrPWVV0POqQ1t414SDkWoNt4qHNt8FDiYWixEBtXbcMw/Efcw4m7Vi3c/RuFi8qqLo9o2V7gfy12lnOpu1nZ9ovfY0Fb9jPXafiaNiZt1m+WmzeGtHLOsosxhnhYRCzA+ONhDLEAahvmEb/8q04tvpEdLnczuwfwP1j4az3v5tBNRWM3SxAWg7/Jm3cWtVznqVes3yzfT5XiQfEwpVhYrli4OzqkTuL+GeAdTB6ecgPwZ8ArWinX6DQ9TNP0UQBbc5+LAVl1iKrpyaZiHcoOxbZRL2h+eK3PlXTRsQD146GtWIDyeKiKlbrqxENbp6i6kkrb0FUsFIcvc9swv9LEbWYrwNvd/ccWVJ6INSavCEtNaPG29W7kqsYr9rym2Ph1xFa8Ov1Dw0PqrohNG+++1F0WTZYZ1E/UdfrXUTdhz5PI54mF0HhDMoS2oc2NuXnbhqaH5eteUzHkWIiJL5PSxO3uG2Z2HzO7h7t/v/Vy1baJI7e0UlG3IZ51C7Q4/oFcvwO5+a7n+ufLku8/i1lX0DbqVeyfr99U0/osWp14aFKP4vKpioXiMmzSsM0aC6HuMvPEwqzz6sMi2obiMivGQ6gsTdalJhtybbZ5+X6ptg1Fm6JD6hwq3wP8tZntAr437Vm4N7tjTrqHNkLlnp47Wgv062J+IW1cpHEg8nkfh+rW5nmyVGMgr048LDoWYP54qBML0+42LEss5Pt1Mb+Q1NqGMcRCSPyOrzq/0I3Z3ybg2JZKNKOxXpw2xjpNjbluXRnrMhtrvbo05mU25rq1qcHFaWb2f939x4Hb3L3nx5ZtcORrwVPQ1v3adcx772Zds9ze0XXd8lI4FNZ3PDS5JahK2/dt1zGGeOg7FkBtw9DF77ouq/Vjzez+wMvM7D0U7sqvetpZu8a6x92m2IoQ6j/vobBFX+hRZ34pXnzSpdDyiMXCvIcaFQ/DprYhTc1uB/s/TN7F/UDgKg5P3J71l+RMXyQ4j1S3YOVIbWwQKx7GQW1DKqKJ291/D/g9M/sDd//ZBZYpUfMcsmnjYpC6922vRYbXVXXLSt1bWmbR9OlLfW5pN42Htp7sVPde3TXma6xnuVe3z1go+27X1DbUG95Eim3D/Oq8HWwASdtI61F1RbM20HW3WvPBWbzFo9ggrzJfg11VhzorZZN65adVXNmqGpohxsysDXTTp0qV/d6hYcXvV5mlke4iFiBch9B3ysrRN7UN8WmEjLltKIo/Mz6F0iemTgB2udjzK2ExeOed7zwPEWlD1Uo6NaTbQ5o+MasNZQm6jXtd53mISBuK9YuVYSjxoLZBbUM7lLhbVycwqsZZ1IV4bd+vWdYPlvMCw6rfekyxAPWfka1YaDZOSvGgtqErStwLs+hzKn39tMtSz3ktw3Jahjq2YVmW07LUs3vjrdkgzBOodbbOyw69Tedd9yeOTavuoaW2XvIw6+Ha2GMbh6hpPLSx3NYZVizUnd4s8aBYmKgTCzCseFj2tmE246rN4JQt3qpgbnpbRdOfdN5zP7HnRefNe6tI6uHaNB7GGAuw3PGw6FiommcZtQ1Ds1y1XZg6QVh11e2sylb2shWv7pb/rFe6hl5s0tSseydDuwBllnjo6nawqa5jAeIvFum6biEpxwKobaiSetvQjBJ3J0JvMSqatfErm09+evO8h7s4br4Mxe/lyx96S0/TWz5CK1bsFqA63x2C0PLJazsW8tOsatjqLs+6sRAyz61uZfGQaixA83hoMxbUNqRKibtTsQZ7nvsYQ98puyczr+z9uyFVK2ssfKoevFCm6n7cWP2GvmJWJe+ipq88LFsOsYewVH0vNnw6z2IslNW1jVdUTqUaC9Bt2xBbZmobxiKRxO2k+6Sb0NZo2ev8uphnUdNALu4t5OdTdiFI27d6jCUWoP94mKdRy8dDcR75C6CKr3Vs21jiYSyxUJxPLBZAbUOZ+V7rKa0aQmB1/TzhIdQxFX0vK8XCcPS9rBQLqUgkcaf+yNM2b48panKubN4VtMlrG9uuW15KsdH1hVVdPlI1RLEwH7UNs9dtljKmFg95yT/ydBOwte9CdCQf0PPUcd57Mmexldnv4VxE3cZgkfHQVizAbC/5mHddXpZ4GHPbsOi6pWhTdEgitV4Bjuu7EHKYsW5ISTOKB5lSLLRjJTokkcSd+h53G2/7qVLn1o7QlvA892q2+dafMm3cazokQ4iHeWIBmsVDV3XLSy0ehhALoXFi44WobehG8nvcY1T2YIJZFK/mjL26sexWoOLwUJlCV43Xve2n6Qoauue17i1BQ1W3AWtjmcV+0yZJfaoYD3Vu+4k9kGUWsXvKU4+HELUN1cbYNtSXSOI+ANzcdyFqmPVikHlfe1fW4NZdMeueqy7bgo496anpKx5neerXUB+6MOvrPGe9qCykTjykFgvQzh5i3/fyqm1Q2zCreBkTSdyp3Mc966GlWe5hLNuDqlOOqu/Gyp7fgg5NL3QPb5P6zUKxMDHrRUB5TQ4xNomF6feWORZAbUPxO8seD3Ukfx/3BvDdvguRsHnOJVWtCHqPbnqaxkOdx6emsCcjh6htGK6N6JBEEvc9gWf1XYgZzLMnNK86h2Dn/dnrbLV3Ub9F3tbSpr7ioYtDsEVtX+g0i0Xd8tYmtQ1qG+q6KDokkcR9NPD4vgvRkvjhj2YBHfoJ4zfuL0aojrPWrSo0+65jG8piAdpbZn0uq1gd572CvSj1eGg7FkBtQ+qOjg5JI3E/DLig70I0EFy6VjLOHFuDodiv2y80fNYXPh3WbYF+c27p1lm3h35664hlWhYL0Hk81I0FKI+H0LCD/UKxAJ3HQ+qxcMQ4ahuiUo+FmJfHByWRuE845haeceaFfRdjJiuF8xP57pVcJK0e1j98TiPff6NwU36+ez37vMHqwf75//nhsenFTMswLfvqwe4j/xfHCdWtrE5ldasqf936LFKTWAh9L9QvVv/ib72R/TJV49QRKv/qYb9/MSbCMVO3TqF+yxYP87QNsd95kW1DbJxQ3ZapbShz6TG3RId1lrjN7F3AWcBedz8j63cikwP3pwN7gBe6+61V03rgvj1cdO1PdlXU9q0X/m8U+m3kPofGzXfHTH+5lezz9C/fvTnSP/vsq7CexfJGJBJWsnKsboBNyzutT/7zXZH++e5Z65Xvzpc93x0bdyjKft9YfMwaCxBeNvkYmP7+W2glFiAQD/s58jcvxkWTWCBXZgr/i/2LsVD83Lchtw2bD303mbYh9tun0DZU2F5ybZ+5V51bacbMngTcAbwnl7jfDHzb3c83s/OAE9z9dVXT2n5P891P7KSY7YutmKHu2IpaFcihFbPYMOcb6M2FYaEVOT/dUF2KK9z+wOfi/9CKHKtX2YpWbJzrNNhDWEGrknYxNvL98t3F6eWVxUKxkS7+DyV2Av9DdQkl5rsC/UJxUhXnxYQ97RdLSMV++e7QNPuwHvjcd9uwJTBMbcNgbP8c7P6OB0/Yd1YFd7/CzE4v9D4beHL2+ULgcqAycd/1XfjHT81Xnq6vJYw96mI9N2y90O9AxbjF6RcfZbAW+L81939r1v9gvxVYW4XVVdi6GSwU3EXZyuXrsL4BB9ZhfR327Z+UaR+H/q8XuvN1yv+PmRZnLde9VugfqjOBz2X6ioVpd2i5EOhf/F5x+sX6xuJgNdB9FLC6Alu3ZDGxksVDsZHMyzWu+XjYd9fk850cioFiXEyHVcV5XrFexTrGYiAUR2WG3DYUh+enkZ9+J21DWSzAYNqGtdywobcNs9hfMmzR2x4nuftNAO5+k5ndNzaime0AdgCcApw0kNMTa4EldqAQceu5vaTpSghHrrShzxTGjQk1ZMX/a0wa5LXVSQMdbJyrtkLXgc2TQ2FrG7CWrahbtxxaUQ9MV1ziK+QsDfW0XqF6FoetFfqR1XlRivFQjAU4FA/5BA3VDXOdZTYVS2DT/9NEPW2cj0jWdWOBybi2+VA8bN08qeOxuXjYt1HeOM+auGPdsWEH+/cYC9B+21A3FmB524ZYLMDi4iEUC7Na/X7JsPkn3w133wnsBNh+vPm9ntRzgWYRO7wZO9yVH6d4DUrZoSMoPywUO+Q166GjQjktW0nXpv2Kh73gyEO+03515Feu0OHOqvOYA9nIOygUD2WHPmPLq04sTPsVG+BQbDQ9jJivw8bkOuG19clf8LBv2SHfOkLxENobjNVhSPHQd9sQ6i5rP6qobejMyhXxYYtO3Deb2bZsb3sbsLfOlw48eIV/3XVMx0VbjNjVoW2pc0Vu3nrNSC5e8ZxX54rXNqV2dWiZLuOhzhW5RXXiQbHQDbUN8xtTPBzYfkd02KIT9y7gXOD87P/H63xpD6fzMt7cZbl602ag1V0Z5llp6pa37RWo60ZtCPpaZl3HQxeNqeJhNkOJhVnGq2ussbCH10aHdXlV+QeYXIh2byav9noj8DHgYuA04HrgHHf/duW0Tt/u/PruTsrZmdgJm1D/OieuqsQODcU+h7qrhA7tVQ1ru25l/cr692mWWCjrX1fZ79xWPDT9/duuW6xfWf++LWvb0HYswDjiIea3tuN7dgevKu8scbfJ7DEOn+u7GA2URWbTN/JMxaIw9hq94rCq6dQpT5NXAta9BCVk1ldlDk1X8VAnFkLjNY2HqlgIjbPoeFjWWAC1DU2+P0RPxP3qxd4O1q7bgb/suxAN1HmhQFtvUwoFbhvveA6p03BX9Z9F3Zs0hnQzR1Hd5bDoeGijCagbD13Wrck4fVLboLahyu3RIYkk7u8BV/ZdCBERkQX5XnRIIol7BTiu70KMTNOt3RS3XKVak3hQLIyT2oZhiF/El1DiPrbvQrRkkc9p6luXdR1SPZtSLLRjSPWch+KhHUOq5zxGkbi1x13P1r4LsCDLUs95LMsyWpZ6zmtZltNY6pl84oakilqpjfsgZtHlslt0XWBcsQCLXYZdL7sxxXYfxrT81DZ0JZFabgCVt3snrosbXIdgrPXqUlc3uPZNsdDMWJfbWOvVlviDZRKp+d1M3imTmj62OEPGtpcVM+RwHsoygvHtZcUoHqopFobr7uiQRGqzzvj3uBet6cUhY7nwQw7XJB4UC+OktmEY4hs+iSRuaZ9WMslTPMiUYmHoNvVdABEREakvkT3uTYznEn8REZEq8f3qRBK3kfZTeXToqTspxoXioTupxYNioTupxUJR8P0iQDKJO3WxANJKO5vUV8SpUD0UC7MbQzyobWjHGGKhvkQSd6q3g0m7hnR7ifRP8SBTY4yF5G8HG6M+tqi72CpddD3GuGU9lliAxdZljLEA44kHtQ1dSSRxOzp01IYxLMMx1GEIxrAcx1CHoRjDshxDHfI8OkS3g4mIiCREiVtERCQhiRwqT/12sEUZw6Ei/c7tST0eFAvtST0WYPniQbeDLYllC2wpp3iQKcXCmChxD8IYtoa7tGyNjuIhTrEgecsWDxOJJG5dVb7c9NvLlGJB8sYcD7qqXEREZBSUuEVERBKixC0iIpIQJW4REZGEKHGLiIgkJJGrylN9AMuYr3gcmqHHh2JhsRQPMjX0WIhJ/gEsuh1Mqig+JE/xIFOpxoJuBxMRERkFJW4REZGEKHGLiIgkJJFz3KlenFYm1fMufRtbHIBiYR6KB5kaWywkf3HaJmBry9PsY+VYz30uCzKtuIfEllNV6M6yEg85FkDxkLfs8aBYOGSssTA1sMRtZj8KvANYAd7p7udXfIP2i9pl1dcj/deIB8IsDXkdKa/gofoXf6/iOPP8nkOOhem48xpTPHQZC218v4zahvmMqW2oEj+TvfBSmdkK8PvAM4AbgC+Y2S53/8eSbzH8wyD5lSG0WKcrX74eoe/EVuxZxeaTovzyXIv0Lw7rU1uxkB93XtN5pRYLZY3wLMP6pLahO6m1DbMY1h7344CvuvvXAMzsg8DZQEXi7mMreBbFwCiuEKuB+YS2skPjLZO6jXFVI900XrqIBahuiGN7XG3HQ9meXaq62uPqIlGC2oamxtA2tKOPxH0/4Bu57huAxxdHMrMdwI6s8w7Y8c8LKFuVewPf6rsQLRhDPcZQB1A9hkb1GJYx1KNpHe4fG9BH4g7t/x/xiBh33wns7L449ZnZbnff3nc55jWGeoyhDqB6DI3qMSxjqEcXdejjPu4bgFNz3acAN/ZQDhERkeT0kbi/ADzEzB5gZvcAXgTs6qEcIiIiyVn4oXJ3Xzeznwc+w+R2sHe5+5cXXY6GBnXofg5jqMcY6gCqx9CoHsMyhnq0Xgdzj7+BRERERIZFzyoXERFJiBK3iIhIQpS4azCzd5nZXjO7tu+yNGVmp5rZX5jZdWb2ZTN7Vd9lasLMtpjZ35nZl7J6/EbfZZqHma2Y2d+b2Sf7LktTZrbHzK4xsy+a2e6+y9OEmR1vZh82s3/K1pEf6rtMszKzh2W/wfTvu2b26r7L1YSZ/UK2fl9rZh8wsy19l6kJM3tVVocvt/lb6Bx3DWb2JOAO4D3ufkbf5WnCzLYB29z9ajM7FrgKeF75o2aHx8wMONrd7zCzNeBzwKvc/fM9F60RM/tFYDtwnLuf1Xd5mjCzPcB2d0/2QRlmdiHwV+7+zuxul6Pc/baei9VY9mjpbwKPd/d/6bs8szCz+zFZrx/u7vvM7GLgU+7+7n5LNhszOwP4IJOnhX4f+DTws+7+lXmnrT3uGtz9CuDbfZdjHu5+k7tfnX2+HbiOyVPskuITd2Sda9lfklufZnYK8BzgnX2XZZmZ2XHAk4ALANz9+ykn7czTgP+XWtLOWQW2mtkqcBRpPuvj3wOfd/c73X0d+Evgv7QxYSXuJWRmpwOPBq7suSiNZIeXvwjsBS519yTrAbwdeC1wd8/lmJcDf2ZmV2WPKk7NA4F/A/44O23xTjM7uu9CzelFwAf6LkQT7v5N4HeB64GbgO+4+5/1W6pGrgWeZGb3MrOjgGdz+MPHGlPiXjJmdgzwEeDV7v7dvsvThLtvuPujmDx173HZIamkmNlZwF53v6rvsrTgTHd/DPAs4BXZqaWUrAKPAf7A3R8NfA84r98iNZcd6n8u8KG+y9KEmZ3A5MVTDwBOBo42s5f0W6rZuft1wJuAS5kcJv8SLb2pRIl7iWTnhD8CvM/dP9p3eeaVHc68HPjRfkvSyJnAc7Pzwx8Enmpm7+23SM24+43Z/73AJUzO6aXkBuCG3JGbDzNJ5Kl6FnC1u9/cd0EaejrwdXf/N3c/AHwUeELPZWrE3S9w98e4+5OYnG6d+/w2KHEvjeyirguA69z9bX2Xpykzu4+ZHZ993spkJf+nXgvVgLv/iruf4u6nMzms+Vl3T26vwsyOzi52JDu8/EwmhwiT4e7/CnzDzB6W9Xoapa8ZHrwXk+hh8sz1wA+a2VFZu/U0JtfkJMfM7pv9Pw14Pi39Ln28HSw5ZvYB4MnAvc3sBuCN7n5Bv6Wa2ZnAjwPXZOeHAV7v7p/qr0iNbAMuzK6a3QRc7O7J3ko1AicBl0zaV1aB97v7p/stUiOvBN6XHWb+GvDSnsvTSHYu9RnAT/ddlqbc/Uoz+zBwNZNDy39Puo8+/YiZ3YvJy9Vf4e63tjFR3Q4mIiKSEB0qFxERSYgSt4iISEKUuEVERBKixC0iIpIQJW4REZGEKHGLjEz2pqufy3WfnN1e08W8nmdmbygZ/h/M7N1dzFtkWel2MJGRyZ5F/8lFvMnOzP4GeG7Zm8HM7M+Bl7n79V2XR2QZaI9bZHzOBx6UvZP5LWZ2+vRd8mb2k2b2MTP7hJl93cx+3sx+MXu5xufN7MRsvAeZ2aezF4f8lZn9QHEmZvZQYP80aZvZOdm7h79kZlfkRv0Ek6fDiUgLlLhFxuc8Jq90fJS7vyYw/AzgvzF5pvhvA3dmL9f4W+AnsnF2Aq9098cCvwz878B0zmTydKupNwA/4u6PZPKSi6ndwA/PUR8RydEjT0WWz19k72S/3cy+w2SPGOAa4BHZG+SeAHwoe5QpwObAdLYxeR3m1F8D7zazi5m8GGJqL5O3PIlIC5S4RZbP/tznu3PddzNpEzYBt2WvTi2zD7jntMPdf8bMHg88B/iimT3K3W8BtmTjikgLdKhcZHxuB45t+uXsPe1fN7NzYPJmOTN7ZGDU64AHTzvM7EHufqW7vwH4FnBqNuihJPbGMJEhU+IWGZlsL/evswvF3tJwMj8GvNzMvgR8GTg7MM4VwKPt0PH0t5jZNdmFcFcAX8r6PwX4k4blEJEC3Q4mIo2Z2TuAT7j7n0eGbwb+Eniiu68vtHAiI6U9bhGZx+8AR5UMPw04T0lbpD3a4xYREUmI9rhFREQSosQtIiKSECVuERGRhChxi4iIJESJW0REJCH/H60dGe0b+giBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fx,tx,Sx = signal.spectrogram(x,fs=fs,nperseg=64,nfft=256,return_onesided=False)\n",
    "Sx = np.abs(Sx)\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.imshow(Sx[:129], aspect='auto',origin='lower',cmap='jet', extent=[tx[0],tx[-1],0,fs/2])#, interpolation='bicubic')\n",
    "plt.xlabel('time (s)')\n",
    "plt.ylabel('frequency (Hz)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bea307f",
   "metadata": {},
   "source": [
    "## Fractional Fourier Transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b204ed41",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T11:19:21.325102Z",
     "start_time": "2022-01-15T11:19:21.315130Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a0b40f2a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-01-15T11:20:33.061376Z",
     "start_time": "2022-01-15T11:19:47.431108Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figsize=(8,8)\n",
    "fig,ax = plt.subplots(3,1,figsize =figsize)\n",
    "#k=1\n",
    "for alpha in np.arange(0,2.05,0.05).round(2):\n",
    "    #Xa = FRFT(x.copy(), alpha)\n",
    "    Xa = sp.frft(x.copy(),alpha=alpha)\n",
    "    ax[0].clear()\n",
    "    #ax[0].plot(t,x)\n",
    "    ax[0].plot(t,Xa.real)\n",
    "    ax[0].plot(t,Xa.imag)\n",
    "    ax[0].set_xlim([t[0],t[-1]])\n",
    "    ax[0].set_title(r'$F_a(x)$ at a = '+str(alpha))\n",
    "    ax[0].set_ylabel(r'signal $F_a(x)$')\n",
    "    \n",
    "    fx,tx,Sx = signal.spectrogram(Xa,fs=fs,nperseg=64,nfft=256,return_onesided=False)\n",
    "    Sx = np.abs(Sx)\n",
    "    #Sx = np.log(np.abs(Sx))\n",
    "    ax[1].clear()\n",
    "    ax[1].imshow(Sx[:129], aspect='auto',origin='lower',cmap='jet', extent=[tx[0],tx[-1],0,fs/2])\n",
    "    ax[1].set_ylabel('Spectrogram')\n",
    "    #Fx = np.log10(np.abs(np.fft.fftshift(np.fft.fft(x))))\n",
    "    Ff = np.log10(np.abs(np.fft.fftshift(np.fft.fft(Xa))))\n",
    "    N = len(Ff)\n",
    "    fq = fs*(np.arange(N)- (N//2))/N \n",
    "    ax[2].clear()\n",
    "    #ax[2].plot(fq,Fx)\n",
    "    ax[2].plot(fq,Ff)\n",
    "    ax[2].set_xlim([fq[0],fq[-1]])\n",
    "    ax[2].set_ylabel('Spectrum')\n",
    "    #k+=1\n",
    "    fig.canvas.draw()\n",
    "    time.sleep(0.8)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}