marketcaps.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chart market caps for top crypto assets\n",
    "* Objective is to show whether power laws / network effects exist and to track them\n",
    "* Try using seaborne as an alternative https://seaborn.pydata.org/examples/horizontal_barplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "import requests\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import datetime\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://coinmarketcap.com\"\n",
    "content = requests.get(url).content\n",
    "soup = BeautifulSoup(page.content, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "table = soup.find('table', {'id': 'currencies'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {}\n",
    "for row in table.findChildren('tr'):\n",
    "    ticker = row.findNext('span', {'class': 'currency-symbol'}).text.strip()\n",
    "    marketcap = row.findNext('td', {'class': 'market-cap'}).text.strip()\n",
    "    marketcap = float(marketcap)\n",
    "    data[ticker] = marketcap\n",
    "    #print \"%s %.0f\" % (ticker, marketcap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [],
   "source": [
    "top20 = sorted(((value,key) for (key,value) in data.items()),reverse=True)[:20]\n",
    "t = []\n",
    "v = []\n",
    "for i in top20:\n",
    "    t.append(i[1])\n",
    "    v.append(i[0]/1e9) # in billions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2ebd9cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "now = datetime.datetime.now()\n",
    "today = now.strftime(\"%Y-%m-%d\")\n",
    "fig, ax = plt.subplots(figsize=(12,10))\n",
    "ax.barh(range(len(t)),v, color='g', height=0.9);\n",
    "ax.invert_yaxis()\n",
    "ax.set_yticks(range(len(t)))\n",
    "ax.set_yticklabels(t)\n",
    "xs = np.arange(0,135,10)\n",
    "ax.set_xticks(xs)\n",
    "ax.set_xlabel('USD Billions')\n",
    "plt.title('Market cap comparison for top 20 crypto assets %s' % today, size = 14);\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "plt.tick_params(top='off', bottom='off', left='off', right='off', labelleft='on', labelbottom='on')\n",
    "fig.savefig('market_caps_crypto.png', dpi = 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "t = []\n",
    "v = []\n",
    "for line in file('sp500_top_20.txt'):\n",
    "    d = re.split('\\s\\s+', line.strip())\n",
    "    t.append(d[1])\n",
    "    v.append(float(d[2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2e923dd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "now = datetime.datetime.now()\n",
    "today = now.strftime(\"%Y-%m-%d\")\n",
    "fig, ax = plt.subplots(figsize=(12,10))\n",
    "ax.barh(range(len(t)),v, color='g', height=0.9);\n",
    "ax.invert_yaxis()\n",
    "ax.set_yticks(range(len(t)))\n",
    "ax.set_yticklabels(t)\n",
    "xs = np.arange(0,1001,100)\n",
    "ax.set_xticks(xs)\n",
    "ax.set_xlabel('USD Billions')\n",
    "plt.title('Market cap comparison for top 20 S&P500 %s' % today, size = 14);\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "plt.tick_params(top='off', bottom='off', left='off', right='off', labelleft='on', labelbottom='on')\n",
    "fig.savefig('market_caps_sp500.png', dpi = 200)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}