floor plot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import math\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = [160, 180, 170]\n",
    "\n",
    "ts = 0.01\n",
    "t = np.arange(0, len(arr), ts)\n",
    "\n",
    "def calc_y(t):\n",
    "    cur = arr[int(math.floor(t))]\n",
    "    nxt = arr[min(int(math.floor(t + ts)), len(arr)-1)]\n",
    "    return cur if cur == nxt else float('nan')\n",
    "\n",
    "y = [calc_y(t) for t in t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1bf0658e10>]"
      ]
     },
     "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": [
    "plt.plot(t, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}