remove spaces from empty lines and trailing spaces

wetb/prepost/write_master.py

@@ -33,7 +33,7 @@ def write_master(path_to_texts,
                  excel_name='DLCs.xlsx', file_end='.txt',
                  delimiter='\t'):
     """ Write a master Excel sheet from a series of text files
-    
+
     Args:
         path_to_texts (str): path to directory with text files
         excel_name (str): filename of generated master Excel file
@@ -44,33 +44,33 @@ def write_master(path_to_texts,
     # formatting for header cells
     header_dict = {'bold': True, 'font_color': '#1F497D',
                    'bottom': 2, 'bottom_color': '#95B3D7'}
-    
+
     # get list of text files
     text_files = [f for f in os.listdir(path_to_texts) \
                                   if f.endswith(file_end)]
-    
+
     # check if main text file in the specified directory
     if 'Main'+file_end not in text_files:
         raise ValueError('\"Main\" file not in CSV directory')
-    
-    # rearrange text files so main page is first and everything 
+
+    # rearrange text files so main page is first and everything
     #   else is alphabetical
     text_files.remove('Main'+file_end)
     text_files = ['Main'+file_end] + sorted(text_files)
-    
+
     # open excel file
     writer = pd.ExcelWriter(excel_name, engine='xlsxwriter')
-    
+
     # create workbook and add formast
     workbook  = writer.book
     header    = workbook.add_format(header_dict)
-    
+
     # loop through text files
     for text_name in text_files:
-    
+
         # define path to csv file
         text_path = os.path.join(path_to_texts,text_name)
-        
+
         # read data, write to Excel file, and define worksheet handle
         text_df = pd.read_table(text_path,
                                 delimiter=delimiter, dtype=str,
@@ -78,10 +78,10 @@ def write_master(path_to_texts,
         text_df.to_excel(writer, sheet_name=text_name.rstrip(file_end),
                          index=False, header=False)
         worksheet = writer.sheets[text_name.rstrip(file_end)]
-        
+
         # get column widths by calculating max string lenths
         col_widths = text_df.apply(lambda x: np.max([len(str(s)) for s in x]))
-        
+
         # add formatting
         for i_col, width in enumerate(col_widths):
             worksheet.set_column(i_col, i_col, width)
@@ -92,10 +92,10 @@ def write_master(path_to_texts,
         else:
             worksheet.set_row(1, cell_format=header)
         worksheet.set_zoom(zoom=85)
-        
+
     # save worksheet
     writer.save()
-    
+
     return
 
 if __name__ == '__main__':