User Control on Indices in the output (#34)

* User control over indices in the output with `indexing`

* v2.1.2

* User control over indices in the output with `indexing`

ExtractTable/__init__.py

@@ -173,11 +173,12 @@ def process_file(
         result = ConvertTo(server_response=trigger_resp, output_format=output_format, indexing=indexing).output
         return result
 
-    def save_output(self, output_folder: os.PathLike = "", output_format: str = "csv"):
+    def save_output(self, output_folder: os.PathLike = "", output_format: str = "csv", indexing: bool = False):
         """
         Save the objects of session data to user preferred location or a default folder
         :param output_folder: user preferred output location; default tmp directory
         :param output_format: needed only for tables CSV or XLSX
+        :param indexing: row & column index consideration in the output
         :return: location of the output
         """
         input_fname = self.input_filename.rsplit('.')[0]
@@ -187,7 +188,7 @@ def save_output(self, output_folder: os.PathLike = "", output_format: str = "csv
             output_format = "csv"
             warnings.warn("Invalid 'output_format' given. Defaulted to 'csv'")
 
-        table_outputs_path = ConvertTo(server_response=self.server_response, output_format=output_format).output
+        table_outputs_path = ConvertTo(server_response=self.server_response, output_format=output_format, indexing=indexing).output
 
         if output_folder:
             if not os.path.exists(output_folder):

ExtractTable/__version__.py

@@ -1,4 +1,4 @@
-VERSION = (2, 1, 1)
+VERSION = (2, 1, 2)
 PRERELEASE = None  # "alpha", "beta" or "rc"
 REVISION = None
 

ExtractTable/common.py

@@ -60,7 +60,7 @@ def _converter(self, fmt: str, indexing: bool = False, table_obj="TableJson") ->
                 warnings.warn(f"There are {dfs} tables extracted. Consider to change the output_format to 'csv' instead")
             with pd.ExcelWriter(output_excel_location) as writer:
                 for n, df in enumerate(dfs):
-                    df.to_excel(writer, f'table_{n+1}')
+                    df.to_excel(writer, f'table_{n+1}', index=indexing, header=indexing)
                 writer.save()
             return [output_excel_location]
         elif fmt == "json":