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python - 使用 xlrd 将 xlsx 文件导入 Python

转载 作者:太空宇宙 更新时间:2023-11-04 00:33:57 27 4
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尝试将 .xlsx 文件导入 Python。我有谷歌和谷歌。我编写了这段代码并为 .csv 工作,但它需要用于 .xlsx 文件。所以我基本上拼凑起来做了一个冰雹玛丽,希望它能奏效。非常感谢任何帮助!

** 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。

import xlrd

workbook = xlrd.open_workbook('GAT_US_PartReview_2017-06-23.xlsx')

worksheet = workbook.get_sheet(0, update_pos=True)

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, row in enumerate(worksheet):
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)

CSV 文件:

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

最佳答案

由于它是一个 Excel 工作簿对象而不仅仅是一个 .CSV 文件,因此您的工作簿对象由工作表组成。因此,首先您必须获取要使用的工作表,然后需要通过调用 sheet.get_rows() 获取行

下面的代码应该可以工作,我在本地测试过。

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)

关于python - 使用 xlrd 将 xlsx 文件导入 Python,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/44895634/

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