如何将xls转换为xlsx

Question

我有一些*.xls(excel 2003)文件,我想将这些文件转换为xlsx(excel 2007).

我使用uno python包,当我保存文件时,我可以设置过滤器名称:MS Excel 97但是没有过滤器名称,如'MS Excel 2007',

请帮帮我,如何设置过滤器名称将xls转换为xlsx？

Answer 1

我以前必须这样做.主要思想是使用xlrd模块打开和解析xls文件,并使用openpyxl模块将内容写入xlsx文件.

这是我的代码.注意!它无法处理复杂的xls文件,如果要使用它,应该添加自己的解析逻辑.

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

Answer 2

您需要在您的计算机上安装win32com.这是我的代码:

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()

Answer 3

这是我的解决方案,不考虑字体,图表和图像:

$ pip install pyexcel pyexcel-xls pyexcel-xlsx

然后这样做::

import pyexcel as p

p.save_book_as(file_name='your-file-in.xls',
               dest_file_name='your-new-file-out.xlsx')

如果您不需要程序,可以安装一个附加软件包pyexcel-cli ::

$ pip install pyexcel-cli
$ pyexcel transcode your-file-in.xls your-new-file-out.xlsx

上面的转码过程使用xlrd和openpyxl.

Answer 4

我发现这里没有任何答案100%正确.所以我在这里发布我的代码:

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)

Answer 5

您可以使用 pandas IO 函数：

import pandas as pd

df = pd.read_excel('file_2003.xls', header=None)
df.to_excel('file_2003.xlsx', index=False, header=False)

Answer 6

Ray的答案对我帮助很大,但对于那些搜索一个简单的方法将所有表格从xls转换为xlsx的人,我做了这个要点:

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)):".

你可以找到xlrd LIB 这里和openpyxl 这里(您必须在您的项目下载xlrd谷歌应用程序引擎的例子).

Answer 7

我正在提高 @Jackypengyu方法的性能。

• XLSX：每行而不是每个单元格工作（http://openpyxl.readthedocs.io/en/default/api/openpyxl.worksheet.worksheet.html#openpyxl.worksheet.worksheet.Worksheet.append）
• XLS：读取整行，不包括空尾，请参阅ragged_rows=True（http://xlrd.readthedocs.io/en/latest/api.html#xlrd.sheet.Sheet.row_slice）

合并的单元格也将被转换。

结果

以相同顺序转换相同的12个文件：

原件：

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

改进的：

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

解

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