{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "entire-spain",
   "metadata": {},
   "source": [
    "Gallery of the kind of peaks and noise the sequgen package can generate.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cross-prison",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Utilities to plot\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Time series has 100 points \n",
    "t_predict = np.arange(100)\n",
    "\n",
    "def plot(title, y_predict):\n",
    "    plt.figure()\n",
    "    plt.plot(t_predict, y_predict, \".b-\")\n",
    "    plt.title(title)\n",
    "    plt.grid(True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "innovative-makeup",
   "metadata": {},
   "source": [
    "# Constant\n",
    "\n",
    "Generate a time series with a constant value of 5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "differential-establishment",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sequgen.deterministic.constant import constant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "sustained-ancient",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot('Constant signal = 5', \n",
    "     constant(t_predict, value=5)\n",
    "     )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nonprofit-aircraft",
   "metadata": {},
   "source": [
    "# Normal peak\n",
    "\n",
    "Generate a time series with located in middle of serie and using height of positive height of 5 with a standard deviation of 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "hybrid-madness",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sequgen.deterministic.normal_peak import normal_peak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "organic-cornwall",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot('Normal peak location=50, stddev=10, height=5, sign=1',\n",
    "    normal_peak(t_predict, location=50, stddev=10, height=5, sign=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fallen-coach",
   "metadata": {},
   "source": [
    "# Sine signal\n",
    "\n",
    "Generate a single sine signal which starts from origin and has an amplitude of 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "animal-solid",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sequgen.deterministic.sine import sine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "hourly-tragedy",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot('Single sine signal', \n",
    "    sine(t_predict, wavelength=100, amplitude=5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "genuine-elevation",
   "metadata": {},
   "source": [
    "Generate a sine which starts at peak and repeats 4 times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "mobile-monitoring",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot('4 sines', \n",
    "    sine(t_predict, wavelength=25, phase_shift=18.75))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "immediate-schema",
   "metadata": {},
   "source": [
    "# Triangular peak\n",
    "\n",
    "Generate a triangular peak centered at 60 and with height of 5 and base width of 40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "behind-stanley",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sequgen.deterministic.triangular_peak import triangular_peak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "exterior-backup",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot('isosceles triangle',\n",
    "    triangular_peak(t_predict, placement=40, width_base_left=20, width_base_right=20, height=5))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "martial-bridge",
   "metadata": {},
   "source": [
    "# Gaussian noise\n",
    "\n",
    "To generate a random noise which has gaussian distribution centered at 0 and a standard deviation of 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "thick-money",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sequgen.stochastic.gaussian import gaussian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "apart-booth",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "plot('Gaussian noise', \n",
    "    gaussian(t_predict, average=0, stddev=5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "seven-horror",
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}