xml-to-pandas 0.2

Converts all kinds of XML files to a pandas dataframe

XML to DataFrame Converter

Overview

This Python utility provides a robust and flexible solution for converting XML files into pandas DataFrames. The library offers advanced parsing capabilities that can handle complex XML structures, including nested elements, attributes, and varying node types.

Features

• 🔄 Recursive XML parsing
• 🌳 Handles nested and complex XML structures
• 🏷️ Optional namespace removal
• 📊 Converts XML to pandas DataFrame
• 🔧 Configurable root tag preservation
• 🚨 Comprehensive error handling and logging

Requirements

• Python 3.7+
• pandas
• xml.etree.ElementTree (Standard Library)

Installation

1. Clone the repository:

git clone https://github.com/Pi2003/xml_to_pandas.git
cd xml_to_pandas

2. Install dependencies:

pip install pandas
pip install xml_to_pandas

Usage

Basic Example

from xml_to_pandas import xml_to_pandas

# Convert XML to DataFrame
df = xml_to_pandas.convert('your_file.xml')
print(df)

Advanced Usage

# Ignore XML namespaces
df = xml_to_pandas.convert('your_file.xml', ignore_namespaces=True)

# Control root tag preservation
df = xml_to_pandas.convert('your_file.xml', preserve_root_tag=False)

Parsing Behavior

The converter handles different XML structures intelligently:

• 📍 Leaf Nodes: Converted to single-row DataFrames
• 🌿 Parent Nodes with Leaf Children: Concatenated side by side
• 🌳 Parent Nodes with Parent Children: Concatenated vertically
• 🔀 Mixed Node Types: Intelligently merged

Logging

The library uses Python's standard logging module to provide informative runtime messages:

• File not found errors
• XML parsing errors
• Unexpected exceptions

Error Handling

• Returns None for parsing failures
• Logs detailed error messages
• Handles various XML parsing scenarios

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Pinak Tendulkar - [e-mail]

Project Link: https://github.com/Pi2003/xml_to_pandas