test_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pycoingecko as pycoin\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import Coin_Table_Code as ctc\n",
    "from rich.console import Console\n",
    "from rich.table import Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_token_list(cg):\n",
    "    cg.get_coins_list()\n",
    "    print((cg.get_coins_list()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def testing_coin_connection(cg):\n",
    "    test_con_value = cg.ping()\n",
    "    if test_con_value == {'gecko_says': '(V3) To the Moon!'}:\n",
    "        return 'Connection is good'\n",
    "    else:\n",
    "        return ['Connection not good',test_con_value]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def main():\n",
    "    cg = pycoin.CoinGeckoAPI()\n",
    "    print(ctc.testing_coin_connection(cg))\n",
    "    ctc.make_top_5_table(cg,['bitcoin', 'tether', 'ethereum','solana','binance coin'])\n",
    "    ctc.top_7_table(cg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_token_list(cg):\n",
    "    cg.get_coins_list()\n",
    "    print((cg.get_coins_list()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pull_in_top_5_data(cg,cryp_list):\n",
    "    data_pull = cg.get_price(ids =cryp_list,vs_currencies = 'usd')\n",
    "    data_pull_DF =pd.DataFrame.from_dict(data_pull,orient='index')\n",
    "    data_pull_DF.index.name = 'coin_name'\n",
    "    data_pull_DF.reset_index(inplace=True)\n",
    "    data_pull_DF = data_pull_DF.sort_values(by=['usd'],ascending=False)\n",
    "    return data_pull_DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coin_name</th>\n",
       "      <th>usd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>bitcoin</td>\n",
       "      <td>39244.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ethereum</td>\n",
       "      <td>2730.010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>binancecoin</td>\n",
       "      <td>391.400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>solana</td>\n",
       "      <td>94.570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tether</td>\n",
       "      <td>1.003</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     coin_name        usd\n",
       "1      bitcoin  39244.000\n",
       "2     ethereum   2730.010\n",
       "0  binancecoin    391.400\n",
       "3       solana     94.570\n",
       "4       tether      1.003"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cg = pycoin.CoinGeckoAPI()\n",
    "pull_in_top_5_data(cg,['bitcoin', 'tether', 'ethereum','solana','binance coin'])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}