Create Jupyter Notebook for Power BI Desktop - Get Text from Gist - Basic Connection Example

PowerBIDesktopNotebookBasicConnectionSample.json

{ 
 "cells": [ 
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "server = '<<PowerBIServer>>'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "database = '<<PowerBIDatabase>>'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys \nimport ssas_api as powerbi \nimport pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "conn = \"Provider=MSOLAP;Data Source=<<PowerBIServer>>;Initial Catalog='';\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dax_string = 'EVALUATE ROW(\"Loading .NET assemblies\",1)' \ndf = powerbi.get_DAX(connection_string=conn, dax_string=dax_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import System \nfrom System.Data import DataTable \nimport Microsoft.AnalysisServices.Tabular as TOM \nimport Microsoft.AnalysisServices.AdomdClient as ADOMD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Sample TOM Connection \nTOMServer = TOM.Server() \nTOMServer.Connect(conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Sample DAX query \npowerbi.get_DAX(conn, \"EVALUATE 'Table'\")"
   ]
  }
 ],
 "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"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}