Python-将XLSX转换为PDF [英] Python - Converting XLSX to PDF

问题描述

我一直在开发服务器中使用win32com模块来轻松地从xlsx转换为pdf:

I have always used win32com module in my development server to easily convert from xlsx to pdf:

o = win32com.client.Dispatch("Excel.Application")
o.Visible = False
o.DisplayAlerts = False
wb = o.Workbooks.Open("test.xlsx")))
wb.WorkSheets("sheet1").Select()
wb.ActiveSheet.ExportAsFixedFormat(0, "test.pdf")
o.Quit()

但是，我已经将我的Django应用程序部署到了没有安装Excel应用程序的生产服务器中，这会引发以下错误:

However, I have deployed my Django app in production server where I don't have Excel application installed and it raises the following error:

File "C:\virtualenvs\structuraldb\lib\site-packages\win32com\client\__init__.p
y", line 95, in Dispatch
    dispatch, userName = dynamic._GetGoodDispatchAndUserName(dispatch,userName,c
lsctx)
  File "C:\virtualenvs\structuraldb\lib\site-packages\win32com\client\dynamic.py
", line 114, in _GetGoodDispatchAndUserName
    return (_GetGoodDispatch(IDispatch, clsctx), userName)
  File "C:\virtualenvs\structuraldb\lib\site-packages\win32com\client\dynamic.py
", line 91, in _GetGoodDispatch
    IDispatch = pythoncom.CoCreateInstance(IDispatch, None, clsctx, pythoncom.II
D_IDispatch)
com_error: (-2147221005, 'Invalid class string', None, None)

在Python中是否可以从xlsx转换为PDF呢?

Is there any good alternative to convert from xlsx to PDF in Python?

我已经使用PDFWriter测试了xtopdf，但是使用此解决方案，您需要读取和迭代范围并逐行写入行.我想知道是否还有类似于win32com.client的更直接的解决方案.

I have tested xtopdf with PDFWriter, but with this solution you need to read and iterate the range and write lines one by one. I wonder if there is a more direct solution similar to win32com.client.

谢谢！

推荐答案

感谢您的不赞成票，但这是一种比试图加载一个在Python 2.7中很难找到并且很烂的冗余脚本有效得多的方法.

Thanks for the down vote but this is a far more efficient method than trying to load a redundant script that is hard to find and was wrttien in Python 2.7.

1. 将Excel电子表格加载到DataFrame中
2. 将DataFrame写入HTML文件
3. 将html文件转换为图像.

    dirname, fname = os.path.split(source)
    basename = os.path.basename(fname)

    data = pd.read_excel(source).head(6)

    css = """

    """

    text_file = open(f"{basename}.html", "w")
    # write the CSS
    text_file.write(css)
    # write the HTML-ized Pandas DataFrame
    text_file.write(data.to_html())
    text_file.close()

    imgkitoptions = {"format": "jpg"}

    imgkit.from_file(f"{basename}.html", f'{basename}.png', options=imgkitoptions)

    try:
        os.remove(f'{basename}.html')
    except Exception as e:
        print(e)

    return send_from_directory('./', f'{basename}.png')

来自此处 https://medium.com/@andy.lane/convert-pandas-dataframes-to-images-using-imgkit-5da7e5108d55

效果很好，我可以即时转换XLSX文件并在应用程序中显示为图像缩略图.

Works really well, I have XLSX files converting on the fly and displaying as image thumbnails on my application.

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