The save() method has been deprecated and removed in Pandas. You should use close() instead. With older versions of Pandas you would have gotten this warning: FutureWarning: save is not part of the public API, usage can give unexpected results and will be removed in a future version With more recent versions you just need … Read more
Here are some options to choose from: xlwt (writing xls files) xlrd (reading xls/xlsx files) openpyxl (reading/writing xlsx files) xlsxwriter (writing xlsx files) If you need to copy only data (without formatting information), you can just use any combination of these tools for reading/writing. If you have an xls file, you should go with xlrd+xlwt … Read more
This should do the job, remove timezone from columns before exporting to excel (using tz_localize(None)). # Check which columns have timezones datetime64[ns, UTC] df.dtypes # Remove timezone from columns df[‘date’] = df[‘date’].dt.tz_localize(None) # Export to excel df.to_excel(‘filename.xlsx’)
Quote from xlsxwriter module documentation: This module cannot be used to modify or write to an existing Excel XLSX file. If you want to modify existing xlsx workbook, consider using openpyxl module. See also: Modify an existing Excel file using Openpyxl in Python Use openpyxl to edit a Excel2007 file (.xlsx) without changing its own … Read more
You can create an ExcelWriter object with the option not to convert strings to urls: writer = pandas.ExcelWriter( r’file.xlsx’, engine=”xlsxwriter”, options={‘strings_to_urls’: False} ) df.to_excel(writer) writer.close() In more recent versions of Pandas, you need to write writer = pd.ExcelWriter( r’file.xlsx’, engine=”xlsxwriter”, engine_kwargs={‘options’: {‘strings_to_urls’: False}} )
You could use set_column as follows: worksheet1.set_column(1, 1, 25) This is defined as follows: set_column(first_col, last_col, width, cell_format, options) You would need to determine a suitable width, perhaps based on the longest length of text in the whole column. Care though would be needed to base this on the font and size being used. Also … Read more
I think you need first reset default header style, then you can change it: pd.core.format.header_style = None All together: import pandas as pd data = pd.DataFrame({‘test_data’: [1,2,3,4,5]}) writer = pd.ExcelWriter(‘test.xlsx’, engine=”xlsxwriter”) pd.core.format.header_style = None data.to_excel(writer, sheet_name=”test”, index=False) workbook = writer.book worksheet = writer.sheets[‘test’] font_fmt = workbook.add_format({‘font_name’: ‘Arial’, ‘font_size’: 10}) header_fmt = workbook.add_format({‘font_name’: ‘Arial’, ‘font_size’: 10, … Read more
I’m the author of that module and unfortunately that isn’t possible. It is a planned feature, and (a small) part of the internal infrastructure is there to support it, but it isn’t currently available and I can’t say when it will be. Update: this feature was never implemented and is no longer planned.
You cannot append to an existing xlsx file with xlsxwriter. There is a module called openpyxl which allows you to read and write to preexisting excel file, but I am sure that the method to do so involves reading from the excel file, storing all the information somehow (database or arrays), and then rewriting when … Read more
Here are some easy way to get you up and running with the XlsxWriter module.The first step is to install the XlsxWriter module.The pip installer is the preferred method for installing Python modules from PyPI, the Python Package Index: sudo pip install xlsxwriter Note Windows users can omit sudo at the start of the command.