{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make our Logo!\n",
    "\n",
    "The logo combines a number of fun **pyam** features, including\n",
    "\n",
    "- line plots\n",
    "- filling data between lines\n",
    "- adding ranges of final-year data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.style.use(\"seaborn-v0_8-deep\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "\n",
    "def func(x, factor):\n",
    "    return np.sin(x) + factor * x\n",
    "\n",
    "\n",
    "x = np.linspace(0, 4, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import itertools\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "from pyam import IAMC_IDX, IamDataFrame\n",
    "\n",
    "combinations = itertools.product([\"m1\", \"m2\", \"m3\", \"m4\"], [\"s1\", \"s2\", \"s3\"])\n",
    "data = [\n",
    "    [m, s] + [\"r\", \"v\", \"u\"] + list(func(x, 0.5 + 0.1 * i))\n",
    "    for i, (m, s) in enumerate(combinations)\n",
    "]\n",
    "df = IamDataFrame(pd.DataFrame(data, columns=IAMC_IDX + list(range(len(x)))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig, ax = plt.subplots()\n",
    "df.filter(scenario=\"s2\").plot(ax=ax, color=\"model\", legend=False, title=False)\n",
    "df.filter(scenario=\"s2\", keep=False).plot(\n",
    "    ax=ax, linewidth=0.5, color=\"model\", legend=False, title=False\n",
    ")\n",
    "df.plot(\n",
    "    ax=ax,\n",
    "    alpha=0,\n",
    "    color=\"model\",\n",
    "    fill_between=True,\n",
    "    final_ranges=dict(linewidth=4),\n",
    "    legend=False,\n",
    "    title=False,\n",
    ")\n",
    "plt.axis(\"off\")\n",
    "plt.tight_layout()\n",
    "fig.savefig(\"logo.pdf\", bbox_inches=\"tight\", transparent=True, pad_inches=0)"
   ]
  }
 ],
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