address yongyao rev suggests

CMPeng · CMPeng · commit a24d6fd5cf94 · 2019-11-05T11:33:26.000-08:00
diff --git a/samples/05_content_publishers/html_table_to_pandas_data_frame_to_portal_item.ipynb b/samples/05_content_publishers/html_table_to_pandas_data_frame_to_portal_item.ipynb
@@ -23,7 +23,7 @@
    "source": [
     "## HTML table to Pandas Data Frame to Portal Item\n",
     "\n",
-    "Often we read informative articles that present data in a tabular form. If such data contained location information, it would be much more insightful if presented as a cartographic map. Thus this sample shows how Pandas can be used to extract data from a table within a web page (in this case, a Wikipedia article) and how it can be then brought into the GIS for further analysis and visualization.\n",
+    "Often we read informative articles that present data in a tabular form. If such data contains location information, it would be much more insightful if presented as a cartographic map. Thus this sample shows how Pandas can be used to extract data from a table within a web page (in this case, a Wikipedia article) and how it can be then brought into the GIS for further analysis and visualization.\n",
     "\n",
     "**Note**: to run this sample, you need a few extra libraries in your conda environment. If you don't have the libraries, install them by running the following commands from cmd.exe or your shell\n",
     "\n",
@@ -581,7 +581,7 @@
    "metadata": {},
    "source": [
     "### Plot as a map\n",
-    "Let us connect to our GIS to geocode this data and present it as a map"
+    "Let us connect to our GIS to geocode this data and present it as a map, either by specifying username and password, e.g. in `gis = GIS(\"https://www.arcgis.com\", \"arcgis_python\", \"P@ssword123\")` or via an existing profile:"
    ]
   },
   {
@@ -593,7 +593,7 @@
     "from arcgis.gis import GIS\n",
     "import json\n",
     "\n",
-    "gis = GIS(\"https://www.arcgis.com\", \"arcgis_python\", \"P@ssword123\")"
+    "gis = GIS(profile=\"your_online_profile\")"
    ]
   },
   {
@@ -739,7 +739,7 @@
    "source": [
     "## PDF table to Pandas Data Frame to Portal Item\n",
     "\n",
-    "Also, PDF files can contain useful information presented in a tabular form. If such data contained location information, it would be much more insightful if presented as a cartographic map. Thus this sample shows how Pandas can be used to extract data from a table within a PDF file (in this case, a PDF accessible from `California Department of Forestry & Fire Protection (CAL FIRE)` website) and how it can be then brought into the GIS for further analysis and visualization.\n",
+    "Also, PDF files can contain useful information presented in a tabular form. If such data contains location information, it would be much more insightful if presented as a cartographic map. Thus this sample shows how Pandas can be used to extract data from a table within a PDF file (in this case, a PDF accessible from `California Department of Forestry & Fire Protection (CAL FIRE)` website) and how it can be then brought into the GIS for further analysis and visualization.\n",
     "\n",
     "**Note**: to run this sample, you need a few extra libraries in your conda environment. If you don't have the libraries, install them by running the following commands from cmd.exe or your shell\n",
     "\n",
@@ -884,7 +884,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from tabula import wrapper\n",
     "df = wrapper.read_pdf(pdf_url_list[0])"
    ]
   },
