{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Csound engine started at slot#: 1.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib qt5\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "%load_ext csoundmagics\n",
    "cs = ICsound()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "tables = \"\"\"\n",
    "f 1 0 1024 16 1 1024 1 0\n",
    "f 2 0 1024 16 1 1024 2 0\n",
    "f 3 0 1024 16 1 1024 10 0\n",
    "f 4 0 1024 16 1 1024 -1 0\n",
    "f 5 0 1024 16 1 1024 -2 0\n",
    "f 6 0 1024 16 1 1024 -10 0\n",
    "f 7 0 1024 16 0 1024 1 1\n",
    "f 8 0 1024 16 0 1024 2 1\n",
    "f 9 0 1024 16 0 1024 10 1\n",
    "f 10 0 1024 16 0 1024 -1 1\n",
    "f 11 0 1024 16 0 1024 -2 1\n",
    "f 12 0 1024 16 0 1024 -10 1\n",
    "\"\"\"\n",
    "cs.sendScore(tables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots(2,6,figsize=(15,5))\n",
    "xmax = cs.tableLength(1)\n",
    "x = range(xmax)\n",
    "types = [1,2,10,-1,-2,-10]*2\n",
    "count = 0\n",
    "for i in range(2):\n",
    "    for j in range(6):\n",
    "        ax[i][j].set_xlim(0,xmax)\n",
    "        ax[i][j].set_ylim(0,1)\n",
    "        ax[i][j].set_xticks([])\n",
    "        ax[i][j].set_yticks([0,1])\n",
    "        ax[i][j].set_title('type = %d'%types[count])\n",
    "        ax[i][j].set_xlabel(tables.splitlines()[count+1])\n",
    "        ax[i][j].plot(x,cs.table(count+1),c='k')\n",
    "        count += 1\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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