Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'bq_helper'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-5f90282e0e00>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mbq_helper\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mBigQueryHelper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mbq_helper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mplotly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moffline\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0minit_notebook_mode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miplot\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mwordcloud\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mWordCloud\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'bq_helper'"
     ]
    }
   ],
   "source": [
    "from bq_helper import BigQueryHelper\n",
    "import bq_helper\n",
    "\n",
    "from plotly.offline import init_notebook_mode, iplot\n",
    "from wordcloud import WordCloud\n",
    "import plotly.graph_objs as go\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.plotly as py\n",
    "from plotly import tools\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import pandas as pd\n",
    "init_notebook_mode(connected=True)\n",
    "\n",
    "medicare = bq_helper.BigQueryHelper(active_project=\"bigquery-public-data\", dataset_name=\"cms_medicare\")\n",
    "bq_assistant = BigQueryHelper(\"bigquery-public-data\", \"cms_medicare\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'bq_helper'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-2b49a88cf8da>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;31m# https://github.com/SohierDane/BigQuery_Helper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mbq_helper\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mBigQueryHelper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'bq_helper'"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "# https://github.com/SohierDane/BigQuery_Helper\n",
    "from bq_helper import BigQueryHelper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from gcloud import bigquery"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "OSError",
     "evalue": "Project was not passed and could not be determined from the environment.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-ceb48a3cc57b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# Instantiates a client\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mbigquery_client\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbigquery\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mClient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;31m# The name for the new dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/gcloud/client.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, project, credentials, http)\u001b[0m\n\u001b[1;32m    183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    184\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mproject\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcredentials\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhttp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 185\u001b[0;31m         \u001b[0m_ClientProjectMixin\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mproject\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mproject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    186\u001b[0m         \u001b[0mClient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcredentials\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcredentials\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhttp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mhttp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/gcloud/client.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, project)\u001b[0m\n\u001b[1;32m    141\u001b[0m         \u001b[0mproject\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_determine_default\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mproject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mproject\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 143\u001b[0;31m             raise EnvironmentError('Project was not passed and could not be '\n\u001b[0m\u001b[1;32m    144\u001b[0m                                    'determined from the environment.')\n\u001b[1;32m    145\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mproject\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbinary_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mOSError\u001b[0m: Project was not passed and could not be determined from the environment."
     ]
    }
   ],
   "source": [
    "# Imports the Google Cloud client library\n",
    "from gcloud import bigquery\n",
    "\n",
    "# Instantiates a client\n",
    "bigquery_client = bigquery.Client()\n",
    "\n",
    "# The name for the new dataset\n",
    "dataset_id = 'my_new_dataset'\n",
    "\n",
    "# Prepares a reference to the new dataset\n",
    "dataset_ref = bigquery_client.dataset(dataset_id)\n",
    "dataset = bigquery.Dataset(dataset_ref)\n",
    "\n",
    "# Creates the new dataset\n",
    "dataset = bigquery_client.create_dataset(dataset)\n",
    "\n",
    "print('Dataset {} created.'.format(dataset.dataset_id))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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