diff --git a/.gitignore b/.gitignore
index 994e968..5708398 100644
--- a/.gitignore
+++ b/.gitignore
@@ -75,3 +75,6 @@ tasks.json
 
 #Jekyll
 docs/_site
+
+#Local venv
+venv/
diff --git a/samples/show-fields/fields_to_csv.py b/samples/show-fields/fields_to_csv.py
new file mode 100644
index 0000000..c19f689
--- /dev/null
+++ b/samples/show-fields/fields_to_csv.py
@@ -0,0 +1,46 @@
+############################################################
+# Step 1)  Use Datasource object from the Document API
+############################################################
+from tableaudocumentapi import Datasource
+import xml.etree.ElementTree as ET
+import pandas as pd
+from tabulate import tabulate
+
+############################################################
+# Step 2)  Open the .tds we want to inspect
+############################################################
+sourceTDS = Datasource.from_file('world.tds')
+
+############################################################
+# Step 3)  Print out all of the fields and what type they are
+############################################################
+print('----------------------------------------------------------')
+print('--- {} total fields in this datasource'.format(len(sourceTDS.fields)))
+print('----------------------------------------------------------')
+
+field_list = []
+
+for count, field in enumerate(sourceTDS.fields.values()):
+
+    if field.description is not None:
+        description_xml = ET.fromstring(field.description)
+        description_without_tags = description_xml[0][0].text
+    else:
+        description_without_tags = None
+
+    field_dict = {'name':  field.name,
+                  'caption': field.caption,
+                  'role': field.role,
+                  'type': field.type,
+                  'datatype': field.datatype,
+                  'calculation': field.calculation,
+                  'default_aggregation': field.default_aggregation,
+                  # 'description': field.description,
+                  'description_raw': description_without_tags}
+
+
+    field_list.append(field_dict)
+
+df = pd.DataFrame(field_list)
+print(tabulate(df, headers='keys', tablefmt='psql'))
+