{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3abc620-1a2c-4c6d-a273-b30ce74a58c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "from openbb_terminal import api\n",
    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib_inline.backend_inline\n",
    "import ipywidgets as widgets\n",
    "import plotly.graph_objs as go\n",
    "from IPython.display import display\n",
    "\n",
    "%matplotlib inline\n",
    "matplotlib_inline.backend_inline.set_matplotlib_formats(\"svg\")\n",
    "api.theme.apply_style()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2bad2400-6f8a-4a8a-8161-5e319ae13ba8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = api.forecast.load(\"weather.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5eb728df-76e3-4cf2-901b-7275b7ce8f4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = api.forecast.ema(df, target_column=\"MaxTemp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "261d1eb2-7a0b-4358-8aa5-c1bae1237dab",
   "metadata": {},
   "outputs": [],
   "source": [
    "api.forecast.expo(df, target_column=\"MaxTemp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c1d1945-f819-442a-a8e6-66822681b901",
   "metadata": {},
   "outputs": [],
   "source": [
    "api.forecast.brnn(\n",
    "    df, target_column=\"MaxTemp\", past_covariates=\"MinTemp,Rainfall,Evaporation\"\n",
    ")"
   ]
  }
 ],
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