gistfile1.txt

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ASPECT = 0.5 * (1 + np.sqrt(5))\n",
    "WIDTH = 4.\n",
    "HEIGHT = WIDTH / ASPECT\n",
    "DPI = 300\n",
    "rc = {\n",
    "    \"figure.figsize\": (WIDTH, HEIGHT),\n",
    "    \"figure.dpi\": DPI,\n",
    "    \"font.serif\": [\"Palatino\"],\n",
    "    \"text.usetex\": True,\n",
    "    \"savefig.dpi\": DPI,\n",
    "    \"savefig.transparent\": False\n",
    "}\n",
    "sns.set(context=\"paper\", style=\"ticks\", palette=\"deep\", font=\"serif\", rc=rc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm = plt.get_cmap(\"Set1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#E41A1C\n",
      "#377EB8\n",
      "#4DAF4A\n",
      "#984EA3\n",
      "#FF7F00\n",
      "#FFFF33\n",
      "#A65628\n",
      "#F781BF\n",
      "#999999\n"
     ]
    }
   ],
   "source": [
    "for i in range(cm.N):\n",
    "    rgba = cm(i)\n",
    "    print(mpl.colors.rgb2hex(rgba).upper())"
   ]
  }
 ],
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