diff --git a/csv/supplier_data_two_commas_added_in_excel.csv b/csv/supplier_data_two_commas_added_in_excel.csv
new file mode 100644
index 0000000..07a3318
--- /dev/null
+++ b/csv/supplier_data_two_commas_added_in_excel.csv
@@ -0,0 +1,13 @@
+Supplier Name,Invoice Number,Part Number,Cost,Purchase Date
+Supplier X,001-1001,2341,$500.00 ,1/20/14
+Supplier X,001-1001,2341,$500.00 ,1/20/14
+Supplier X,001-1001,5467,$750.00 ,1/20/14
+Supplier X,001-1001,5467,$750.00 ,1/20/14
+Supplier Y,50-9501,7009,$250.00 ,1/30/14
+Supplier Y,50-9501,7009,$250.00 ,1/30/14
+Supplier Y,50-9505,6650,$125.00 ,2002-03-14
+Supplier Y,50-9505,6650,$125.00 ,2002-03-14
+Supplier Z,920-4803,3321,$615.00 ,2002-03-14
+Supplier Z,920-4804,3321,$615.00 ,2002-10-14
+Supplier Z,920-4805,3321,"$6,015.00 ",2/17/14
+Supplier Z,920-4806,3321,"$1,006,015.00 ",2/24/14
diff --git a/excel/pandas_sum_average_multiple_workbooks.py b/excel/pandas_sum_average_multiple_workbooks.py
index 4ba13f5..7d2a68e 100755
--- a/excel/pandas_sum_average_multiple_workbooks.py
+++ b/excel/pandas_sum_average_multiple_workbooks.py
@@ -17,9 +17,9 @@
 	worksheets_data_frame = None
 	workbook_data_frame = None
 	for worksheet_name, data in all_worksheets.items():
-		total_sales = pd.DataFrame([float(str(value).strip('$').replace(',','')) for value in data.ix[:, 'Sale Amount']]).sum()
+		total_sales = pd.DataFrame([float(str(value).strip('$').replace(',','')) for value in data.ix[:, 'Sale Amount']]).sum().iloc[0]
 		number_of_sales = len(data.loc[:, 'Sale Amount'])
-		average_sales = pd.DataFrame(total_sales / number_of_sales)
+		average_sales = total_sales / number_of_sales
 		
 		workbook_total_sales.append(total_sales)
 		workbook_number_of_sales.append(number_of_sales)
@@ -29,18 +29,18 @@
 				'worksheet_total': total_sales,
 				'worksheet_average': average_sales}
 		
-		worksheet_data_frames.append(pd.DataFrame(data, columns=['workbook', 'worksheet', 'worksheet_total', 'worksheet_average']))
+		worksheet_data_frames.append(pd.DataFrame(data, columns=['workbook', 'worksheet', 'worksheet_total', 'worksheet_average'], index=[0]))
 	worksheets_data_frame = pd.concat(worksheet_data_frames, axis=0, ignore_index=True)
 
-	workbook_total = pd.DataFrame(workbook_total_sales).sum()
+	workbook_total = pd.DataFrame(workbook_total_sales).sum().iloc[0]
 	workbook_total_number_of_sales = pd.DataFrame(workbook_number_of_sales).sum()
-	workbook_average = pd.DataFrame(workbook_total / workbook_total_number_of_sales)
+	workbook_average = workbook_total / workbook_total_number_of_sales
 	
 	workbook_stats = {'workbook': os.path.basename(workbook),
 					 'workbook_total': workbook_total,
 					 'workbook_average': workbook_average}
 
-	workbook_stats = pd.DataFrame(workbook_stats, columns=['workbook', 'workbook_total', 'workbook_average'])
+	workbook_stats = pd.DataFrame(workbook_stats, columns=['workbook', 'workbook_total', 'workbook_average'], index=[0])
 	workbook_data_frame = pd.merge(worksheets_data_frame, workbook_stats, on='workbook', how='left')
 	data_frames.append(workbook_data_frame)
 
@@ -48,4 +48,4 @@
 
 writer = pd.ExcelWriter(output_file)
 all_data_concatenated.to_excel(writer, sheet_name='sums_and_averages', index=False)
-writer.save()
\ No newline at end of file
+writer.save()
diff --git a/plots/ggplot_plots.py b/plots/ggplot_plots.py
index 97ab926..d63a426 100755
--- a/plots/ggplot_plots.py
+++ b/plots/ggplot_plots.py
@@ -29,4 +29,4 @@
 		theme_gray()
 print(plt3)
 
-ggsave(plt3, "ggplot_plots.png")
\ No newline at end of file
+plt3.save("ggplot_plots.png")