DW_OSX_test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DW test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "INSTALLED VERSIONS\n",
      "------------------\n",
      "commit: None\n",
      "python: 3.5.2.final.0\n",
      "python-bits: 64\n",
      "OS: Darwin\n",
      "OS-release: 15.6.0\n",
      "machine: x86_64\n",
      "processor: i386\n",
      "byteorder: little\n",
      "LC_ALL: None\n",
      "LANG: en_US.UTF-8\n",
      "\n",
      "pandas: 0.18.1\n",
      "nose: 1.3.7\n",
      "pip: 8.1.2\n",
      "setuptools: 20.3\n",
      "Cython: 0.23.4\n",
      "numpy: 1.10.4\n",
      "scipy: 0.17.0\n",
      "statsmodels: 0.6.1\n",
      "xarray: None\n",
      "IPython: 4.1.2\n",
      "sphinx: 1.3.5\n",
      "patsy: 0.4.0\n",
      "dateutil: 2.5.1\n",
      "pytz: 2016.2\n",
      "blosc: None\n",
      "bottleneck: 1.0.0\n",
      "tables: 3.2.2\n",
      "numexpr: 2.5\n",
      "matplotlib: 1.5.1\n",
      "openpyxl: 2.3.2\n",
      "xlrd: 0.9.4\n",
      "xlwt: 1.0.0\n",
      "xlsxwriter: 0.8.4\n",
      "lxml: 3.6.0\n",
      "bs4: 4.4.1\n",
      "html5lib: None\n",
      "httplib2: None\n",
      "apiclient: None\n",
      "sqlalchemy: 1.0.12\n",
      "pymysql: None\n",
      "psycopg2: None\n",
      "jinja2: 2.8\n",
      "boto: 2.39.0\n",
      "pandas_datareader: 0.2.1\n"
     ]
    }
   ],
   "source": [
    "pd.show_versions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "        window.Urth = window.Urth || {};\n",
       "        Urth._initialized = Urth._initialized || $.Deferred();\n",
       "        Urth.whenReady = Urth.whenReady || function(cb) {\n",
       "            Urth._initialized.then(function() {\n",
       "                Urth.whenReady(cb);\n",
       "            });\n",
       "        };\n",
       "        Urth.whenReady(function() { console.log(\"Declarative widgets connected.\") });\n",
       "        "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import declarativewidgets as declwidgets\n",
    "declwidgets.init()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<link rel=\"import\" href=\"urth_components/urth-viz-table/urth-viz-table.html\" is=\"urth-core-import\">\n",
       "<link rel=\"import\" href=\"urth_components/juicy-html/juicy-html.html\" is=\"urth-core-import\" package=\"Juicy/juicy-html\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<link rel=\"import\" href=\"urth_components/urth-viz-table/urth-viz-table.html\" is=\"urth-core-import\">\n",
    "<link rel=\"import\" href=\"urth_components/juicy-html/juicy-html.html\" is=\"urth-core-import\" package=\"Juicy/juicy-html\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame([[1,2],[3,4]], columns=['a','b'])\n",
    "df1.columns.name = 'df1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>df1</th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "df1  a  b\n",
       "0    1  2\n",
       "1    3  4"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<template is=\"urth-core-bind\">\n",
       "    <urth-core-dataframe id='df1' ref=\"df1\" value=\"{{df1}}\" auto></urth-core-dataframe>\n",
       "    <urth-viz-table datarows=\"{{df1.data}}\" columns=\"{{df1.columns}}\" selection=\"{{sel1}}\" rows-visible=6>\n",
       "        </urth-viz-table>\n",
       "</template>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<template is=\"urth-core-bind\">\n",
    "    <urth-core-dataframe id='df1' ref=\"df1\" value=\"{{df1}}\" auto></urth-core-dataframe>\n",
    "    <urth-viz-table datarows=\"{{df1.data}}\" columns=\"{{df1.columns}}\" selection=\"{{sel1}}\" rows-visible=6>\n",
    "        </urth-viz-table>\n",
    "</template>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": 0
}