尝试将.xlsx文件导入Python。我谷歌和谷歌。我有这个代码编写并为.csv工作，但它需要是.xlsx文件。所以我基本拼凑起来做了一个冰雹玛丽，希望它能起作用。非常感谢任何和所有的帮助！
**添加了我的整个代码和数据文件的片段。我需要它来导入.xlsx并执行数据。
Supplier Line:,,Gates Rubber - Denver (GAT),,,,,,,,,,,,,,,,,,,,,,
Summary:,,Parts HQ Abbr,,,,,,,,,,,,,,,,,,,,,,
ACCT No:,,40013586,,,,,,,,,,,,,,,,,,,,,,
RecCount:,,10221,,,,,,,,,,,,,,,,,,,,,,
Applicable Date:,,"June 14, 2017 (Wednesday)",,,,,,,,,,,,,,,,,,,,,,
,,,,,,,,,,,,,,,,,,,,,,,,
HQ Line,Part No,Part Class,Appl Req,Appl Count ,Intr Req,Intr Count ,OE Intr Req,Has OE Intr,Has Attr Editor, Has Attr Values,Part IMG Req,Has Part IMG,Has MPCC,Warr Req,Has Warr TXT,Has Warr PDF,MSDS Req,Has MSDS,UPC Req,Has UPC,Has UNSPSC,Attr Count ,AttrVal Count ,Valid Part
GAT,'27210',S,NO,0,YES,1,YES,NO,YES,YES,YES,YES,YES,YES,YES,YES,NO,NO,YES,YES,YES,30,13,YES
GAT,'27211',O,NO,0,YES,1,YES,NO,YES,YES,YES,YES,YES,YES,YES,YES,NO,NO,YES,YES,YES,30,14,YES
GAT,'27212',S,NO,0,YES,1,YES,NO,YES,YES,YES,YES,YES,YES,YES,YES,NO,NO,YES,YES,YES,30,13,YES
GAT,'27213',S,NO,0,YES,1,YES,NO,YES,YES,YES,YES,YES,YES,YES,YES,NO,NO,YES,YES,YES,30,13,YES
GAT,'27220',S,NO,0,YES,2,YES,NO,YES,YES,YES,YES,YES,YES,YES,YES,NO,NO,YES,YES,YES,35,20,YES
GAT,'27221',S,NO,0,YES,2,YES,NO,YES,YES,YES,YES,YES,YES,YES,YES,NO,NO,YES,YES,YES,35,20,YES
CSV文件：
{{1}}
答案 0 :(得分：1)
由于它是Excel工作簿对象而不仅仅是.CSV文件，因此您的图书对象由工作表组成。首先你必须抓住你想要使用的工作表，然后你需要通过调用sheet.get_rows（）来获取行。
下面的代码应该可以使用，我在本地进行了测试。
import xlrd
book = xlrd.open_workbook('GAT_US_PartReview_2017-06-23.xlsx')
header = []
report_card = []
# Count Stmnts for Required Data
valid_count = 0
app_req_count = 0
intr_req_count = 0
# Count Stmts for Missing Data
missing_app_count = 0
missing_intr_count = 0
missing_oe_intr_count = 0
sheet = book.sheets()[0]
for row_num, row in enumerate(sheet.get_rows()):
if row_num <= 4:
# print(row) # Print out the header
header.append([row[0], row[2]])
print(header)
答案 1 :(得分：0)
您访问xlrd库的代码需要一些修复，如下所示：
import xlrd
workbook = xlrd.open_workbook('GAT_US_PartReview_2017-06-23.xlsx')
worksheet = workbook.sheet_by_index(0)
header = []
report_card = []
# Count Stmnts for Required Data
valid_count = 0
app_req_count = 0
intr_req_count = 0
oe_intr_req_count = 0
part_img_req_count = 0
upc_req_count = 0
unspsc_req_count = 0
msds_req_count = 0
# Count Stmts for Missing Data
missing_app_count = 0
missing_intr_count = 0
missing_oe_intr_count = 0
missing_mpcc_count = 0
missing_attr_values_count = 0
missing_part_img_count = 0
missing_upc_count = 0
missing_warr_text_count = 0
missing_warr_pdf_count = 0
missing_unspsc_count = 0
missing_msds_count = 0
for row_num in range(worksheet.nrows):
row = worksheet.row_values(row_num)
if row_num <= 4:
# print(row) # Print out the header
header.append([row[0], row[2]])
else:
hq_line, part_no, part_class, appl_req, appl_count, intr_req, \
intr_count, oe_intr_req, has_oe_intr, has_attr_editor, \
has_attr_values, part_img_req, has_part_img, has_mpcc, warr_req, \
has_warr_txt, has_warr_pdf, msds_req, has_msds, upc_req, has_upc, \
has_unspsc, attr_count, attrval_count, valid_part = row
if valid_part == 'YES':
valid_count += 1
# Required Parts Count
if appl_req == 'YES':
app_req_count += 1
if intr_req == 'YES':
intr_req_count += 1
if oe_intr_req == 'YES':
oe_intr_req_count += 1
if part_img_req == 'YES':
part_img_req_count += 1
if upc_req == 'YES':
upc_req_count += 1
if msds_req == 'YES':
msds_req_count += 1
# Missing Data Counts
if appl_req == 'YES' and appl_count == '0':
missing_app_count += 1
if intr_req == 'YES' and intr_count == '0':
missing_intr_count += 1
if oe_intr_req == 'YES' and has_oe_intr == '0':
missing_oe_intr_count += 1
if has_mpcc == 'NO':
missing_mpcc_count += 1
if has_attr_values == 'NO':
missing_attr_values_count += 1
if has_part_img == 'NO':
missing_part_img_count += 1
if upc_req == 'YES' and has_upc == '0':
missing_upc_count += 1
if warr_req == 'YES' and has_warr_txt == 'NO':
missing_warr_text_count += 1
if warr_req == 'YES' and has_warr_pdf == 'NO':
missing_warr_pdf_count += 1
if has_unspsc == 'NO':
missing_unspsc_count += 1
if msds_req == 'YES' and has_msds == 'NO':
missing_msds_count += 1
# Statements for Required Counts
valid_parts = ('Number of Valid Parts: ', '{:,}'.format(valid_count))
application_required = ('Application Records Required: ', '{:,}'.format(app_req_count))
interchange_required = ('Interchange Records Required: ', '{:,}'.format(intr_req_count))
oe_interchange_required = ('OE Interchange Records Required: ', '{:,}'.format(oe_intr_req_count))
mpcc = ('MPCC Required: ', '{:,}'.format(valid_count)) # Every valid part requires a MPCC
attributes = ('Attributes Required: ', '{:,}'.format(valid_count)) # Every valid part requires attributes
image_required = ('Image Required: ', '{:,}'.format(part_img_req_count))
upc = ('UPC Requited: ', '{:,}'.format(upc_req_count))
warranties = ('Warranty Text/PDF Required: ', '{:,}'.format(valid_count)) # Require warranty text/pdf on all parts
unspsc = ('UNSPSC Code Required: ', '{:,}'.format(valid_count)) # Require UNSPSC Codes for all parts
msds = ('MSDS Required: ', '{:,}'.format(msds_req_count))
# Statements for Missing Counts
missing_applications = ('Missing Applications: ', '{:,}'.format(missing_app_count))
missing_interchange = ('Missing Interchange: ', '{:,}'.format(missing_intr_count))
missing_oe_interchange = ('Missing OE Interchange: ', '{:,}'.format(missing_oe_intr_count))
missing_mpcc = ('Missing MPCC: ', '{:,}'.format(missing_mpcc_count))
missing_attributes = ('Missing Attributes: ', '{:,}'.format(missing_attr_values_count))
missing_image = ('Missing Image: ', '{:,}'.format(missing_part_img_count))
missing_UPC = ('Missing UPC: ', '{:,}'.format(missing_upc_count))
missing_warranty_text = ('Missing Warranty Text: ', '{:,}'.format(missing_warr_text_count))
missing_warranty_pdf = ('Missing Warranty PDF: ', '{:,}'.format(missing_warr_pdf_count))
missing_unspsc = ('Missing UNSPSC Code: ', '{:,}'.format(missing_unspsc_count))
missing_msds = ('Missing MSDS: ', '{:,}'.format(missing_msds_count))
# CSV Output
report_card.append(valid_parts)
report_card.append(application_required)
report_card.append(interchange_required)
report_card.append(oe_interchange_required)
report_card.append(mpcc)
report_card.append(attributes)
report_card.append(image_required)
report_card.append(upc)
report_card.append(warranties)
report_card.append(unspsc)
report_card.append(msds)
report_card.append(missing_applications)
report_card.append(missing_interchange)
report_card.append(missing_oe_interchange)
report_card.append(missing_mpcc)
report_card.append(missing_attributes)
report_card.append(missing_image)
report_card.append(missing_UPC)
report_card.append(missing_warranty_text)
report_card.append(missing_warranty_pdf)
report_card.append(missing_unspsc)
report_card.append(missing_msds)
for row in header:
print(row)
for x in report_card:
print(x)
with open('Report_Card.csv', 'w', newline='') as f:
writer = csv.writer(f)
writer.writerows(header)
writer.writerows(report_card)
对于您提供的数据，这会为您提供Report_Card.csv文件，如下所示：
Supplier Line: Gates Rubber - Denver (GAT)
Summary: Parts HQ Abbr
ACCT No: 40013586
RecCount: 10221
Applicable Date: June 14, 2017 (Wednesday)
Number of Valid Parts: 6
Application Records Required: 0
Interchange Records Required: 6
OE Interchange Records Required: 6
MPCC Required: 6
Attributes Required: 6
Image Required: 6
UPC Requited: 6
Warranty Text/PDF Required: 6
UNSPSC Code Required: 6
MSDS Required: 0
Missing Applications: 0
Missing Interchange: 0
Missing OE Interchange: 0
Missing MPCC: 0
Missing Attributes: 0
Missing Image: 0
Missing UPC: 0
Missing Warranty Text: 0
Missing Warranty PDF: 0
Missing UNSPSC Code: 0
Missing MSDS: 0
您的代码当然可以重新考虑。而不是拥有如此多的变量，即每列一个，考虑使用类似于字典的Python Counter()之类的东西。使用列表或词典可以使您的代码更加简单。
答案 2 :(得分：0)
此脚本允许您将Excel数据表转换为字典列表：
import xlrd
workbook = xlrd.open_workbook('GAT_US_PartReview_2017-06-23.xlsx', on_demand = True)
worksheet = workbook.sheet_by_index(0)
first_row = [] # The row where we stock the name of the column
for col in range(worksheet.ncols):
first_row.append( worksheet.cell_value(0,col) )
# transform the workbook to a list of dictionaries
data =[]
for row in range(1, worksheet.nrows):
elm = {}
for col in range(worksheet.ncols):
elm[first_row[col]]=worksheet.cell_value(row,col)
data.append(elm)
print data
您也可以使用Pandas
from pandas import *
xls = ExcelFile('GAT_US_PartReview_2017-06-23.xlsx')
df = xls.parse(xls.sheet_names[0])
print df.to_dict()