return classification, avgs
-def convert_csv_to_pretty_txt(csv_file_name, txt_file_name):
+def convert_csv_to_pretty_txt(csv_file_name, txt_file_name, delimiter=u","):
"""Convert the given csv table to pretty text table.
:param csv_file_name: The path to the input csv file.
:param txt_file_name: The path to the output pretty text file.
+ :param delimiter: Delimiter for csv file.
:type csv_file_name: str
:type txt_file_name: str
+ :type delimiter: str
"""
txt_table = None
with open(csv_file_name, u"rt") as csv_file:
- csv_content = csv.reader(csv_file, delimiter=u',', quotechar=u'"')
+ csv_content = csv.reader(csv_file, delimiter=delimiter, quotechar=u'"')
for row in csv_content:
if txt_table is None:
txt_table = prettytable.PrettyTable(row)
else:
txt_table.add_row(row)
- txt_table.align[u"Test case"] = u"l"
+ txt_table.align = u"r"
+ txt_table.align[u"Test Case"] = u"l"
+ txt_table.align[u"RCA"] = u"l"
if txt_table:
with open(txt_file_name, u"wt") as txt_file:
txt_file.write(str(txt_table))