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',...
workbook = xlsxwriter.Workbook(f'workbook.xlsx', {"nan_inf_to_errors": True}) worksheet = workbook.add_worksheet("Column Setter") worksheet.add_table(f"A1:{chr(ord('@')+len(whole.columns))}{len(whole)}", {'data': whole.values.tolist(), 'banded_columns': True, ...
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...
We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {...
TypeError:在没有“nan_inf_to_errors”工作簿()选项的write_number()中不支持NAN/INF 、、 我想保存X (ndarray)的尺寸(3960,225)在excel文件(.xlsx)中。在X中,我有一些缺失的值(nan)。我给它做了个密码。但是,我得到了错误。以下是守则: workbook = xlsxwriter.Workbook('arrays.xlsx') worksheet = w...
# 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...
# 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: ...
{ 'default_date_format': 'dd.mm.yyyy hh:mm:ss', 'nan_inf_to_errors': True }) header_format: Format = workbook.add_format({'bold': True}) worksheet: Worksheet = workbook.add_worksheet( str(Path(self._opened_file_name).with_suffix('').name)) worksheet.freeze_panes(1, 0) # ...
我找到了结合这个topic:的解决方案