在Python中使用xlsxwriter库来创建一个新的Excel文件,并设置选项以处理NaN和无穷大值,你可以按照以下步骤进行: 导入xlsxwriter库: 首先,确保你已经安装了xlsxwriter库。如果还没有安装,可以通过pip安装: bash pip install xlsxwriter 然后,在你的Python脚本中导入该库: python import xlsxwriter 创建一个新的Excel...
nan_inf_to_errors:启用write()和write_number()方法将nan、inf、-inf转换为Excel错误。Excel不会讲nan和inf作为数字处理,所以作为解决方法,它们会被映射到产生错误代码的公式#NUM和#DIV/0!。默认为False。如果要启用,请使用: workbook = xlsxwriter.Workbook(filename, {'nan_inf_to_errors': True}) default...
我正在使用xlsxwriter模块格式化excel文件中的所有列: workbook = xlsxwriter.Workbook('abc.xlsx', {'nan_inf_to_errors': True}) cell_format = workbook.add_format({'align' : 'left','border' : 1, "border_color": "black"}) ROI_format = workbook.add_format({'num_format': '$#,##0.00',...
ExcelWriter( "./test.xlsx", engine="xlsxwriter", engine_kwargs={"nan_inf_to_errors": True} ) Issue Description Pandas documentation indicates to pass the options as a dictionary. As well as it spreading said values. Spreading confirmed here xlsxWriter docs indicate that they would like to...
Workbook(path, {'strings_to_urls': False, 'nan_inf_to_errors': True}) as workbook: worksheet = workbook.add_worksheet(args.worksheet) for j, (key, m) in enumerate(mapper): worksheet.write(0, j, key) for i, (name, variable) in enumerate(state_dict.items()): value = m(name, ...
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# 需要导入模块: import xlsxwriter [as 别名]# 或者: from xlsxwriter importWorkbook[as 别名]defsave_xlsx(self, df, path, worksheet='worksheet'):withxlsxwriter.Workbook(path, {'strings_to_urls':False,'nan_inf_to_errors':True})asworkbook: ...
# reading the data in CSV with pandas by: csv = file.csv data = pd.read_csv(csv, sep=';') # creating a workbook / worksheet with: excel_file_path = r"file.xlsx" workbook = xlsxwriter.Workbook(excel_file_path, {"nan_inf_to_errors": True}) data_worksheet = workbook.add_workshee...