{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime, date\n",
    "from perspective import PerspectiveWidget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# schema\n",
    "df = pd.DataFrame([\n",
    "    {\n",
    "       'int': 1,\n",
    "       'float': 1.5,\n",
    "       'string': '20150505',\n",
    "       'date': date.today(),\n",
    "       'datetime': datetime.now(),\n",
    "       'object': datetime.now(),\n",
    "    },\n",
    "    {\n",
    "       'int': 1,\n",
    "       'float': 1.5,\n",
    "       'string': '20150506',\n",
    "       'date': None,\n",
    "       'datetime': None,\n",
    "       'object': None,\n",
    "    },\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>int</th>\n",
       "      <th>float</th>\n",
       "      <th>string</th>\n",
       "      <th>date</th>\n",
       "      <th>datetime</th>\n",
       "      <th>object</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20150505</td>\n",
       "      <td>2020-10-28</td>\n",
       "      <td>2020-10-28 19:03:08.973812</td>\n",
       "      <td>2020-10-28 19:03:08.973813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20150506</td>\n",
       "      <td>None</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   int  float    string        date                   datetime  \\\n",
       "0    1    1.5  20150505  2020-10-28 2020-10-28 19:03:08.973812   \n",
       "1    1    1.5  20150506        None                        NaT   \n",
       "\n",
       "                      object  \n",
       "0 2020-10-28 19:03:08.973813  \n",
       "1                        NaT  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aaa7a6dd11b94169afdd7d0481167202",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "PerspectiveWidget(columns=['index', 'int', 'float', 'string', 'date', 'datetime', 'object'])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "psp = PerspectiveWidget(df)\n",
    "psp"
   ]
  },
  {
   "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": "3.7.7"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "aaa7a6dd11b94169afdd7d0481167202": {
      "model_module": "@finos/perspective-jupyterlab",
      "model_module_version": "~0.5",
      "model_name": "PerspectiveModel",
      "state": {
       "_model_module_version": "~0.5",
       "_view_module_version": "~0.5",
       "aggregates": null,
       "column_pivots": null,
       "columns": [
        "index",
        "int",
        "float",
        "string",
        "date",
        "datetime",
        "object"
       ],
       "dark": null,
       "row_pivots": null,
       "sort": null
      }
     }
    },
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}