Interactive.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": [
     "hide"
    ]
   },
   "outputs": [],
   "source": [
    "import type_curve_monthly\n",
    "from ipywidgets import interact, interactive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": [
     "hide"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c544bdfe0f61482c8ed79f7f3ad6a297",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='api', options=('33025033410000', '33025021910000', '33025032430000…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "@interact(api=['33025033410000', '33025021910000', '33025032430000', '33025031400000', \n",
    "         '33025024720000', '33025014750000', '33025027960000', '33025021060000',\n",
    "         '33025021030000', '33025014120000', '33025017320000'])\n",
    "def create_plot_and_table(api='33053040060000'):\n",
    "    p = type_curve_monthly.type_curve_plot(api=api)\n",
    "    display(type_curve_monthly.type_curve_summary_from_db(api=api))"
   ]
  }
 ],
 "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": "3.7.6"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "03c440fb744a4c82a306c25f6806bae2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "08d4853f7396428187e99c501a3d9b42": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "0f4d753e01324d31aa01c8041d48309d": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_08d4853f7396428187e99c501a3d9b42",
       "outputs": [
        {
         "data": {
          "text/html": "<style  type=\"text/css\" >\n</style><table id=\"T_f55e878a_07e6_11eb_9243_02a174e6744a\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >IRR (%)</th>        <th class=\"col_heading level0 col1\" >NPV10 (Million $)</th>        <th class=\"col_heading level0 col2\" >ROI (yrs)</th>        <th class=\"col_heading level0 col3\" >Payout (yrs)</th>    </tr></thead><tbody>\n                <tr>\n                                <td id=\"T_f55e878a_07e6_11eb_9243_02a174e6744arow0_col0\" class=\"data row0 col0\" >356.35</td>\n                        <td id=\"T_f55e878a_07e6_11eb_9243_02a174e6744arow0_col1\" class=\"data row0 col1\" >4.57</td>\n                        <td id=\"T_f55e878a_07e6_11eb_9243_02a174e6744arow0_col2\" class=\"data row0 col2\" >2.46</td>\n                        <td id=\"T_f55e878a_07e6_11eb_9243_02a174e6744arow0_col3\" class=\"data row0 col3\" >0.42</td>\n            </tr>\n    </tbody></table>",
          "text/plain": "<pandas.io.formats.style.Styler at 0x7f3abbf6d950>"
         },
         "metadata": {},
         "output_type": "display_data"
        },
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 432x288 with 2 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "1b143ae29c45450ba2d62d84b7f57f42": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_20e4a0ff5e7a4935b4672d2a582cd0f6",
       "outputs": [
        {
         "data": {
          "text/html": "<style  type=\"text/css\" >\n</style><table id=\"T_da9cb2e2_07e5_11eb_9243_02a174e6744a\" ><thead>    <tr>        <th class=\"col_heading level0 col0\" >IRR (%)</th>        <th class=\"col_heading level0 col1\" >NPV10 (Million $)</th>        <th class=\"col_heading level0 col2\" >ROI (yrs)</th>        <th class=\"col_heading level0 col3\" >Payout (yrs)</th>    </tr></thead><tbody>\n                <tr>\n                                <td id=\"T_da9cb2e2_07e5_11eb_9243_02a174e6744arow0_col0\" class=\"data row0 col0\" >21.69</td>\n                        <td id=\"T_da9cb2e2_07e5_11eb_9243_02a174e6744arow0_col1\" class=\"data row0 col1\" >0.58</td>\n                        <td id=\"T_da9cb2e2_07e5_11eb_9243_02a174e6744arow0_col2\" class=\"data row0 col2\" >1.41</td>\n                        <td id=\"T_da9cb2e2_07e5_11eb_9243_02a174e6744arow0_col3\" class=\"data row0 col3\" >2.58</td>\n            </tr>\n    </tbody></table>",
          "text/plain": "<pandas.io.formats.style.Styler at 0x7f3abc0d2a90>"
         },
         "metadata": {},
         "output_type": "display_data"
        },
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 432x288 with 2 Axes>"
         },
         "metadata": {
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