我的 CSV 数据如下所示:
"Service Name ap-northeast-1","2023-03","2023-04","2023-05","2023-06","2023-07","2023-08","2023-09","2023-10","2023-11","2023-12","2024-01","2024-02"
"AWS Direct Connect","1575.24","1512.77","1629.79","1497.54","1504.33","1484.96","1543.41","1510.99","1404.84","1428.71","1424.15","1361.66"
"AWS ELB","76.29","75.02","80.48","79.06","71.27","72.74","74.61","77.1","72.42","78.28","73.62","73.42"
"AWS S3","51.77","53.71","52.56","53.83","55.7","53.57","54.26","55.99","55.97","56.97","56.75","56.94"
"AWS VPC","0","0","0","0","0.0","0.0","0.0","0.0","0.0","0.0","0.0","48.73"
"EBS Volumes gp2","403.58","414.48","414.48","414.48","427.1","438.48","438.48","438.48","438.48","438.48","438.48","438.48"
"EBS Volumes gp3","206.21","206.21","206.21","206.21","206.21","206.21","206.21","206.21","207.42","208.13","208.13","208.13"
"EBS Volumes","491.52","491.52","491.52","491.52","491.52","491.52","491.52","491.52","491.52","491.52","491.52","491.52"
"EC2 - Other","1512.1","1502.28","1523.26","1513.06","1518.93","1523.01","1533.47","1525.14","1502.29","1503.11","1492.42","1485.31"
"EC2","1235.61","1159.1","1175.3","1151.3","1155.16","1141.6","1123.86","1160.83","1120.61","1481.42","1939.9","1320.95"
"PublicIPv4:InUseAddress","0","0","0","0","0.0","0.0","0.0","0.0","0.0","0.0","0.0","48.73"
"Other ap-northeast-1","0.0","0.0","-0.01","-0.01","0.01","0.0","-0.0","0.0","0.0","-0.0","0.0","-48.73"
"TOTAL: ap-northeast-1","4451.01","4302.88","4461.38","4294.78","4305.4","4275.88","4329.61","4330.05","4156.13","4548.49","4986.84","4347.01"
除第一列外的所有列均代表美元。我想对这些单元格应用货币格式,所以我有这个 python 代码:
import gspread
import csv
... global vars and stuff ...
with open('your_csv_file.csv', 'r', encoding='utf-8') as csv_file:
csv_reader = csv.reader(csv_file)
for row in csv_reader:
if not row: # Check if the row is empty
print(f"Adding blank row: {row}.")
spreadsheet.sheet1.append_row(
['----', '----', '----', '----', '----', '----', '----', '----', '----', '----', '----', '----',
'----'])
row_count += 1
else:
while True:
try:
print(f"Adding row {row}")
added_row = spreadsheet.sheet1.append_row(row)
row_count += 1
if "Service Name" in row[0]: # Check if "Service Name" is in the first column
print(f"make HEADER BOLD row: {row}.")
spreadsheet.sheet1.format(f"A{row_count}:M{row_count}", service_name_row_format)
else:
print(f"set $$ format for row_count {row_count}")
spreadsheet.sheet1.format(f'B{row_count}:M{row_count}', currency_format)
... more unrelated code ...
我确实看到了输出...
set $$ format for row_count 2
...但是货币单元格的格式永远不会改变。这是截图:
我相信您的目标如下。
All but the first column represents US dollars. I want to apply a currency format to those cells
开始,您想要附加 CSV 数据,并将粗体类型设置为标题行,并通过在“B”到“M”列中添加 $
来设置数字格式。在你的展示脚本中,做如下修改怎么样?
spreadsheetId = "###" # Please set your Spreadsheet ID.
spreadsheet = client.open_by_key(spreadsheetId)
worksheet = spreadsheet.sheet1
offset = len(worksheet.get_all_values())
values = []
formats1 = []
formats2 = []
with open('your_csv_file.csv', 'r', encoding='utf-8') as csv_file:
csv_reader = csv.reader(csv_file)
for i, row in enumerate(csv_reader):
if not row: # Check if the row is empty
print(f"Adding blank row: {row}.")
values(['----', '----', '----', '----', '----', '----', '----', '----', '----', '----', '----', '----', '----'])
else:
values.append(row)
if "Service Name" in row[0]:
print(f"make HEADER BOLD row: {row}.")
formats1.append(f'{gspread.utils.rowcol_to_a1(offset + i + 1, 1)}:{gspread.utils.rowcol_to_a1(offset + i + 1, len(row))}')
else:
print(f"set $$ format for row_count {i + 1}")
formats2.append(f'{gspread.utils.rowcol_to_a1(offset + i + 1, 2)}:{gspread.utils.rowcol_to_a1(offset + i + 1, len(row))}')
worksheet.append_rows(values, value_input_option="USER_ENTERED")
if formats1 != []:
worksheet.format(formats1, {"textFormat": {"bold": True}})
if formats2 != []:
worksheet.format(formats2, {"numberFormat": {"type": "CURRENCY", "pattern": "\"$\"#,##0.00"}})
在此修改中,所有值均由
append_rows
放置。
如果值不是从“A”列输入的,请按如下方式修改上面的脚本。
来自
worksheet.append_rows(values, value_input_option="USER_ENTERED")
致
worksheet.update(gspread.utils.rowcol_to_a1(offset + 1, 1), values, value_input_option="USER_ENTERED")
当您提供的 CSV 数据用于此修改后的脚本时,将获得以下结果。在此示例中,您的 CSV 值从第 6 行附加。