Python Excel

Python Excel:

Python provides several libraries that allow you to work with Excel files.

The most commonly used libraries are:

Openpyxl: It is a popular library for working with Excel files in Python. It allows you to read, write, and modify Excel files. You can install it using pip:

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pip install openpyxl

Here’s an example of how to use Openpyxl to create a new Excel file, write data to it, and save it:

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import openpyxl

# Create a new workbook and select the active sheet

workbook = openpyxl.Workbook()

sheet = workbook.active

# Write data to cells

sheet[‘A1’] = ‘Hello’

sheet[‘B1’] = ‘World!’

# Save the workbook

workbook.save(‘example.lxxx)

Pandas: Pandas are a powerful library for data manipulation and analysis. It also provides functions to read from and write to Excel files.

You can install it using pip:

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pip install pandas

Here’s an example of how to use Pandas to read an Excel file, manipulate the data, and save it:

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import pandas as PD

# Read an Excel file

df = pd.read_excel(‘example.lxxx)

# Manipulate the data (e.g., add a new column)

df[‘New Column’] = df[‘Column1’] + df[‘Column2’]

# Save the modified data to a new Excel file

df.to_excel(‘modified_example.xlsx’, index=False)

These are just two examples of libraries you can use to work with Excel files in Python. Other libraries like xlrd, xlnt, and xlutils can be used for specific tasks or compatibility with older Excel file formats. You can choose the library that best suits your needs based on the particular requirements of your project.