python working with xlsx sheets and files? - python

Python to export excel sheets into another workbook and save it to a directory ?

Use openpyxl. The are many examples and tutorials available.

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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.

Differences between xlwings vs openpyxl Reading Excel Workbooks

I've mostly only used xlwings to open (read-write) workbooks (since the workbooks I read have complicated macros). But I've recently begun using openpyxl to open (read-only) workbooks when I've needed to read thousands of workbooks to scrape some data.
I've noticed that there is a considerable difference between how xlwings and openpyxl read workbooks. I believe xlwings relies on pywin32 to read workbooks. When you read a workbook with xlwings.Book(<filename>) the actual workbook opens up. I have a feeling this is a result of pywin32.
However, when using openpyxl.load_workbook(<filename>) a workbook window does not appear. I have a feeling this is a result of not using pywin32.
Beyond this, I've no further understanding how the backends work for each libraries. Could someone shine some light on this? Is there a benefit/cost to relying on xlwings and pywin32 for reading workbooks, as opposed to openpyxl which does not seem to use pywin32?
You are correct in that xlwings relies on pywin32, whereas openpyxl does not.
openpyxl
A ".xlsx" excel file is essentially a zip-file containing multiple XML files formatted according to Microsoft's OOXML specification. With this specification it's possible to create a program capable of directly reading/writing excel files in just about any programming language. This is the approach applied in openpyxl: it uses python code to read/write excel files directly.
xlwings
A Microsoft Excel application can be started and controlled by an external program through the Win32 COM API. The pywin32 package provides an interface between Win32 COM and Python. Through a python script with the right pywin32 commands you can fully control an Excel Application (open excel files, query data from cells, write data to cells, save excel files, etc.). The pywin32 commands that you can use mirror the Excel VBA commands, albeit with python syntax.
xlwings is (among other things) a user-friendly wrapper around pywin32. It introduces several concise-yet-powerful methods. An example would be the methods for direct conversion of an excel cell range to a numpy array or pandas dataframe (and vice versa).
Summary
A fundamental difference between xlwings and openpyxl is that the former requires that MS Excel is installed on your machine, whereas the latter does not.

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.

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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