jbridgedf 0.1.3

A robust Python library to parse API JSON responses into DataFrames with date handling.

JBridgeDF

Bridge JSON APIs into clean, time-aware DataFrames.

JBridgeDF is a lightweight Python library that simplifies the process of retrieving and transforming JSON data from APIs into tidy pandas DataFrames — ready for analysis or time series modeling.

🚀 Features

• Handles HTTP requests and error logging
• Parses JSON responses into clean DataFrames
• Handles different JSON answers: plain dict, list of dicts, key-word dict
• Filters out metadata
• Automatically removes inconsistent or empty columns
• Converts timestamps and standardizes time frequency (daily, monthly, quarterly)
• Designed for public data APIs (like Central Bank, IBGE, FRED, etc.)

📦 Installation

You can install JBridgeDF directly from PyPI:

pip install jbridgedf

```bash
pip install -e .

🧪 Example Usage

from jbridgedf.parser import APIDataParser

parser = APIDataParser()
df = parser.get_from_api(
    url="https://api.bcb.gov.br/dados/serie/bcdata.sgs.11/dados?formato=json",
    variable_list=["data", "valor"],
    is_list=True,
    frequency="monthly",
    date_as_index=True
)
print(df.head())

📁 Project Structure

• jbridgedf/: core library code
• tests/: unit tests (pytest recommended)
• examples/: real-world examples and demos

📬 Contact

For questions, suggestions, or contributions, open an issue on GitHub or email at [e-mail].

🤝 Ethical Use

This library was developed with the intention of supporting researchers, analysts, and developers working with open or public data APIs.

If you plan to use JBridgeDF in commercial applications, redistributed packages, or mission-critical systems, you are kindly encouraged to retain the original context, acknowledge the author, and consider contributing back.

This is not a legal restriction, but a request to respect the original purpose and community spirit of the project.

📄 License

MIT