Untitled1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZQAAABECAYAAACmjMM7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nPhCYHQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f85bc7639e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "sns.palplot(sns.color_palette(\"coolwarm\", 7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'#FF0000', '#D5002B', '#AA0055', '#800080', '#5500AA', '#2B00D5', '#0000FF'"
   ]
  },
  {
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}