问题
I have some *.xls(excel 2003) files， and I want to convert those files into xlsx(excel 2007).
I use the uno python package, when I save the documents, I can set the Filter name: MS Excel 97 But there is no Filter name like \'MS Excel 2007\',
please help me, how can set the the filter name to convert xls to xlsx ?
回答1:
I've had to do this before. The main idea is to use the xlrd module to open and parse a xls file and write the content to a xlsx file using the openpyxl module.
Here's my code. Attention! It cannot handle complex xls files, you should add you own parsing logic if you are going to use it.
import xlrd
from openpyxl.workbook import Workbook
from openpyxl.reader.excel import load_workbook, InvalidFileException
def open_xls_as_xlsx(filename):
# first open using xlrd
book = xlrd.open_workbook(filename)
index = 0
nrows, ncols = 0, 0
while nrows * ncols == 0:
sheet = book.sheet_by_index(index)
nrows = sheet.nrows
ncols = sheet.ncols
index += 1
# prepare a xlsx sheet
book1 = Workbook()
sheet1 = book1.get_active_sheet()
for row in xrange(0, nrows):
for col in xrange(0, ncols):
sheet1.cell(row=row, column=col).value = sheet.cell_value(row, col)
return book1
回答2:
You need to have win32com installed on your machine. Here is my code:
import win32com.client as win32
fname = "full+path+to+xls_file"
excel = win32.gencache.EnsureDispatch('Excel.Application')
wb = excel.Workbooks.Open(fname)
wb.SaveAs(fname+"x", FileFormat = 51) #FileFormat = 51 is for .xlsx extension
wb.Close() #FileFormat = 56 is for .xls extension
excel.Application.Quit()
回答3:
Here is my solution, without considering fonts, charts and images:
$ pip install pyexcel pyexcel-xls pyexcel-xlsx
Then do this::
import pyexcel as p
p.save_book_as(file_name='your-file-in.xls',
dest_file_name='your-new-file-out.xlsx')
If you do not need a program, you could install one additinal package pyexcel-cli::
$ pip install pyexcel-cli
$ pyexcel transcode your-file-in.xls your-new-file-out.xlsx
The transcoding procedure above uses xlrd and openpyxl.
回答4:
I found none of answers here 100% right. So I post my codes here:
import xlrd
from openpyxl.workbook import Workbook
def cvt_xls_to_xlsx(src_file_path, dst_file_path):
book_xls = xlrd.open_workbook(src_file_path)
book_xlsx = Workbook()
sheet_names = book_xls.sheet_names()
for sheet_index in range(0,len(sheet_names)):
sheet_xls = book_xls.sheet_by_name(sheet_names[sheet_index])
if sheet_index == 0:
sheet_xlsx = book_xlsx.active()
sheet_xlsx.title = sheet_names[sheet_index]
else:
sheet_xlsx = book_xlsx.create_sheet(title=sheet_names[sheet_index])
for row in range(0, sheet_xls.nrows):
for col in range(0, sheet_xls.ncols):
sheet_xlsx.cell(row = row+1 , column = col+1).value = sheet_xls.cell_value(row, col)
book_xlsx.save(dst_file_path)
回答5:
The answer by Ray helped me a lot, but for those who search a simple way to convert all the sheets from a xls to a xlsx, I made this Gist:
import xlrd
from openpyxl.workbook import Workbook as openpyxlWorkbook
# content is a string containing the file. For example the result of an http.request(url).
# You can also use a filepath by calling "xlrd.open_workbook(filepath)".
xlsBook = xlrd.open_workbook(file_contents=content)
workbook = openpyxlWorkbook()
for i in xrange(0, xlsBook.nsheets):
xlsSheet = xlsBook.sheet_by_index(i)
sheet = workbook.active if i == 0 else workbook.create_sheet()
sheet.title = xlsSheet.name
for row in xrange(0, xlsSheet.nrows):
for col in xrange(0, xlsSheet.ncols):
sheet.cell(row=row, column=col).value = xlsSheet.cell_value(row, col)
# The new xlsx file is in "workbook", without iterators (iter_rows).
# For iteration, use "for row in worksheet.rows:".
# For range iteration, use "for row in worksheet.range("{}:{}".format(startCell, endCell)):".
You can find the xlrd lib here and the openpyxl here (you must download xlrd in your project for Google App Engine for example).
回答6:
I'm improve performance for @Jackypengyu method.
- XLSX: working per row, not per cell (http://openpyxl.readthedocs.io/en/default/api/openpyxl.worksheet.worksheet.html#openpyxl.worksheet.worksheet.Worksheet.append)
- XLS: read whole row excluding empty tail, see
ragged_rows=True(http://xlrd.readthedocs.io/en/latest/api.html#xlrd.sheet.Sheet.row_slice)
Merged cells will be converted too.
Results
Convert same 12 files in same order:
Original:
0:00:01.958159
0:00:02.115891
0:00:02.018643
0:00:02.057803
0:00:01.267079
0:00:01.308073
0:00:01.245989
0:00:01.289295
0:00:01.273805
0:00:01.276003
0:00:01.293834
0:00:01.261401
Improved:
0:00:00.774101
0:00:00.734749
0:00:00.741434
0:00:00.744491
0:00:00.320796
0:00:00.279045
0:00:00.315829
0:00:00.280769
0:00:00.316380
0:00:00.289196
0:00:00.347819
0:00:00.284242
Solution
def cvt_xls_to_xlsx(*args, **kw):
"""Open and convert XLS file to openpyxl.workbook.Workbook object
@param args: args for xlrd.open_workbook
@param kw: kwargs for xlrd.open_workbook
@return: openpyxl.workbook.Workbook
You need -> from openpyxl.utils.cell import get_column_letter
"""
book_xls = xlrd.open_workbook(*args, formatting_info=True, ragged_rows=True, **kw)
book_xlsx = Workbook()
sheet_names = book_xls.sheet_names()
for sheet_index in range(len(sheet_names)):
sheet_xls = book_xls.sheet_by_name(sheet_names[sheet_index])
if sheet_index == 0:
sheet_xlsx = book_xlsx.active
sheet_xlsx.title = sheet_names[sheet_index]
else:
sheet_xlsx = book_xlsx.create_sheet(title=sheet_names[sheet_index])
for crange in sheet_xls.merged_cells:
rlo, rhi, clo, chi = crange
sheet_xlsx.merge_cells(
start_row=rlo + 1, end_row=rhi,
start_column=clo + 1, end_column=chi,
)
def _get_xlrd_cell_value(cell):
value = cell.value
if cell.ctype == xlrd.XL_CELL_DATE:
value = datetime.datetime(*xlrd.xldate_as_tuple(value, 0))
return value
for row in range(sheet_xls.nrows):
sheet_xlsx.append((
_get_xlrd_cell_value(cell)
for cell in sheet_xls.row_slice(row, end_colx=sheet_xls.row_len(row))
))
for rowx in range(sheet_xls.nrows):
if sheet_xls.rowinfo_map[rowx].hidden != 0:
print sheet_names[sheet_index], rowx
sheet_xlsx.row_dimensions[rowx+1].hidden = True
for coly in range(sheet_xls.ncols):
if sheet_xls.colinfo_map[coly].hidden != 0:
print sheet_names[sheet_index], coly
coly_letter = get_column_letter(coly+1)
sheet_xlsx.column_dimensions[coly_letter].hidden = True
return book_xlsx
回答7:
I tried @Jhon Anderson's solution, works well but got an "year is out of range" error when there are cells of time format like HH:mm:ss without date. There for I improved the algorithm again:
def xls_to_xlsx(*args, **kw):
"""
open and convert an XLS file to openpyxl.workbook.Workbook
----------
@param args: args for xlrd.open_workbook
@param kw: kwargs for xlrd.open_workbook
@return: openpyxl.workbook.Workbook对象
"""
book_xls = xlrd.open_workbook(*args, formatting_info=True, ragged_rows=True, **kw)
book_xlsx = openpyxl.workbook.Workbook()
sheet_names = book_xls.sheet_names()
for sheet_index in range(len(sheet_names)):
sheet_xls = book_xls.sheet_by_name(sheet_names[sheet_index])
if sheet_index == 0:
sheet_xlsx = book_xlsx.active
sheet_xlsx.title = sheet_names[sheet_index]
else:
sheet_xlsx = book_xlsx.create_sheet(title=sheet_names[sheet_index])
for crange in sheet_xls.merged_cells:
rlo, rhi, clo, chi = crange
sheet_xlsx.merge_cells(start_row=rlo + 1, end_row=rhi,
start_column=clo + 1, end_column=chi,)
def _get_xlrd_cell_value(cell):
value = cell.value
if cell.ctype == xlrd.XL_CELL_DATE:
datetime_tup = xlrd.xldate_as_tuple(value,0)
if datetime_tup[0:3] == (0, 0, 0): # time format without date
value = datetime.time(*datetime_tup[3:])
else:
value = datetime.datetime(*datetime_tup)
return value
for row in range(sheet_xls.nrows):
sheet_xlsx.append((
_get_xlrd_cell_value(cell)
for cell in sheet_xls.row_slice(row, end_colx=sheet_xls.row_len(row))
))
return book_xlsx
Then work perfect!
回答8:
Simple solution
I required a simple solution to convert couple of xlx to xlsx format. There are plenty of answers here, but they are doing some "magic" that I do not completely understand.
A simple solution was given by chfw, but not quite complete.
Install dependencies
Use pip to install
pip install pyexcel-cli pyexcel-xls pyexcel-xlsx
Execute
All the styling and macros will be gone, but the information is intact.
For single file
pyexcel transcode your-file-in.xls your-new-file-out.xlsx
For all files in the folder, one liner
for file in *.xls; do; echo "Transcoding $file"; pyexcel transcode "$file" "${file}x"; done;
回答9:
CONVERT XLS FILE TO XLSX
Using python3.6 I have just come accross the same issue and after hours of struggle I solved it by doing the ff, you probably wont need all of the packages: (I will be as clear as posslbe)
make sure to install the following packages before proceeding
pip install pyexcel, pip install pyexcel-xls, pip install pyexcel-xlsx,
pip install pyexcel-cli
step 1:
import pyexcel
step 2: "example.xls","example.xlsx","example.xlsm"
sheet0 = pyexcel.get_sheet(file_name="your_file_path.xls", name_columns_by_row=0)
step3: create array from contents
xlsarray = sheet.to_array()
step4: check variable contents to verify
xlsarray
step5: pass the array held in variable called (xlsarray) to a new workbook variable called(sheet1)
sheet1 = pyexcel.Sheet(xlsarray)
step6: save the new sheet ending with .xlsx (in my case i want xlsx)
sheet1.save_as("test.xlsx")
回答10:
The Answer from Ray was clipping the first row and last column of the data. Here is my modified solution (for python3):
def open_xls_as_xlsx(filename):
# first open using xlrd
book = xlrd.open_workbook(filename)
index = 0
nrows, ncols = 0, 0
while nrows * ncols == 0:
sheet = book.sheet_by_index(index)
nrows = sheet.nrows+1 #bm added +1
ncols = sheet.ncols+1 #bm added +1
index += 1
# prepare a xlsx sheet
book1 = Workbook()
sheet1 = book1.get_active_sheet()
for row in range(1, nrows):
for col in range(1, ncols):
sheet1.cell(row=row, column=col).value = sheet.cell_value(row-1, col-1) #bm added -1's
return book1
回答11:
Tried @Jhon's solution 1st, then I turned into pyexcel as a solution
pyexcel.save_as(file_name=oldfilename, dest_file_name=newfilename)
It works properly until I tried to package my project to a single exe file by PyInstaller, I tried all hidden imports option, following error still there:
File "utils.py", line 27, in __enter__
pyexcel.save_as(file_name=self.filename, dest_file_name=newfilename)
File "site-packages\pyexcel\core.py", line 77, in save_as
File "site-packages\pyexcel\internal\core.py", line 22, in get_sheet_stream
File "site-packages\pyexcel\plugins\sources\file_input.py", line 39, in get_da
ta
File "site-packages\pyexcel\plugins\parsers\excel.py", line 19, in parse_file
File "site-packages\pyexcel\plugins\parsers\excel.py", line 40, in _parse_any
File "site-packages\pyexcel_io\io.py", line 73, in get_data
File "site-packages\pyexcel_io\io.py", line 91, in _get_data
File "site-packages\pyexcel_io\io.py", line 188, in load_data
File "site-packages\pyexcel_io\plugins.py", line 90, in get_a_plugin
File "site-packages\lml\plugin.py", line 290, in load_me_now
File "site-packages\pyexcel_io\plugins.py", line 107, in raise_exception
pyexcel_io.exceptions.SupportingPluginAvailableButNotInstalled: Please install p
yexcel-xls
[3192] Failed to execute script
Then, I jumped to pandas:
pd.read_excel(oldfilename).to_excel(newfilename, sheet_name=self.sheetname,index=False)
回答12:
@CaKel and @Jhon Anderson solution:
def _get_xlrd_cell_value(cell):
value = cell.value
if cell.ctype == xlrd.XL_CELL_DATE:
# Start: if time is 00:00 this fix is necessary
if value == 1.0:
datetime_tup = (0, 0, 0)
else:
# end
datetime_tup = xlrd.xldate_as_tuple(value, 0)
if datetime_tup[0:3] == (0, 0, 0):
value = datetime.time(*datetime_tup[3:])
else:
value = datetime.datetime(*datetime_tup)
return value
And now this code runs perfect for me !
来源：https://stackoverflow.com/questions/9918646/how-to-convert-xls-to-xlsx