q_Ridgecrest.ipynb

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    "tags": [
     "parameters"
    ]
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   "outputs": [],
   "source": [
    "#github.com/nteract/papermill'parameters'tag used to inject them into template then post a gist runable by colab\n",
    "%load_ext rpy2.ipython\n",
    "%load_ext google.colab.data_table\n",
    "import httpimport\n",
    "with httpimport.github_repo('MBcode', 'ec'):\n",
    "  import ec\n",
    "#ec.get_ec() #work from scratch version for a bit\n",
    "#import ec\n",
    "q=\"norway\"  #an example query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2bf31ddc",
   "metadata": {
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "url = None\n",
    "ext = None\n",
    "urn = None\n",
    "q = \"Ridgecrest\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6c899634",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "dfSPARQL=ec.txt_query(q)\n",
    "dfSPARQL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4dccd0f7",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Can cut URN from the g_column and use as the URN, from Row of interest:\n",
    "urn=dfSPARQL['g'][0] #or put the row you want to use here\n",
    "urn=None   #paste the URN from g in a quotes here\n",
    "dfRDF=ec.wget_rdf(urn)\n",
    "#!ls -l   or FilePaneBrowser on left, to see it\n",
    "dfRDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "442b7c28",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Can cut url and ext from the same Row of interest:\n",
    "urls=ec.dfRow2urls(df,1)  #or put in another row number to get url\n",
    "urls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7d66149e",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Can cut url and ext from the same Row of interest (or default to value from row):\n",
    "url,ext=urls[0][1],None\n",
    "df=ec.read_file(url,ext)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c572c10d",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "#dataset page functionality includes: search_relateddatafilename\n",
    " #and tool matches: search_download search_webservice search_notebook\n",
    "!ls -l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b10f1056",
   "metadata": {
    "papermill": {},
    "tags": []
   },
   "outputs": [],
   "source": [
    "!ls -l \n",
    "ec.viz() #shows .nt metadata from urn, can use for (rdf)xml as well "
   ]
  }
 ],
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   "version": "3.8.10"
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  "papermill": {
   "default_parameters": {},
   "environment_variables": {},
   "input_path": "/app/templates/sparql.ipynb",
   "output_path": "/tmp/q_Ridgecrest.ipynb",
   "parameters": {
    "ext": null,
    "q": "Ridgecrest",
    "url": null,
    "urn": null
   },
   "version": "2.4.0"
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