how does lxml speed up saving large excel file while using openpyxl? - python

I've some problem on saving large excel file while using openpyxl.
Openpyxl documentation says that
When you want to dump large amounts of data make sure you have lxml installed.
But there is no code how to use openpyxl with lxml.
So it means I simply install lxml using pip?
Nothing to change code and this simple pip install speed up saving excel file?
Please answer me if you've experience.
Thanks.

Related

Pandas: Does pd.read_excel() need Excel to be installed for it to work?

I was wondering if pd.read_excel() needs Microsoft Excel to be installed on the computer for it to work? I'm not sure if my customer will have Excel installed or not so I don't want the program to break down if it is not available.
Thanks!
pandas's pd.read_excel uses xlrd package to read excel file.
So it wont need Microsoft Excel.

How to read large xlsx file to fast in python?

Is there any option to read and get DataFrame in fast with large excel files in python?
Pandas provides a function to read excel files:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html
I think you need to install xlrd separately for this
pip install xlrd
Please mention in your question if you already know about this and looking for an alternate solution.

Can I create Excel workbooks with only Pandas (Python)?

In the pandas documentation, it says that the optional dependencies for Excel I/O are:
xlrd/xlwt: Excel reading (xlrd) and writing (xlwt)
openpyxl: openpyxl > version 2.4.0 for writing .xlsx files (xlrd >= 0.9.0)
XlsxWriter: Alternative Excel writer
I can't install any external modules. Is there any way to create an .xlsx file with just a pandas installation?
Edit: My question is - is there any built-in pandas functionality to create Excel workbooks, or is one of these optional dependencies required to create any Excel workbook at all?
I thought that openpyxl was part of a pandas install, but turns out I had XlsxWriter installed.
The pandas codebase does not duplicate Excel reading or writing functionality provided by the external libraries you listed.
Unlike the csv format, which Python itself provides native support for, if you don't have any of those libraries installed, you cannot read or write Excel spreadsheets.

Python Library for Excel without installation

I want to create a Python script to do some simple Excel work, i.e reading data from Excel files.
I do not wish to convert the files to .csv files.
I am restricted from installing any libraries for Python on my machine.
Is there a way to get hold of an excel library for python which I do not have to install onto my machine?

Which library to import in Python to read data from an Excel file, for automation testing using Selenium?

Which library to import in Python to read data from an Excel file, I want to store different xpaths in Excel file for automation testing using Selenium?
You may use XlsxWriter. It is a Python module for writing files in Excel.
xlutils is also very useful collection of utilities for automating excel sheet operations.
https://xlsxwriter.readthedocs.io/
The xlrd library is what you are looking for to read excel files. And to write, you can use xlwt.

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