PD_TOL

PD_TOL is a lightweight Python decorator that provides error-tolerant processing for pandas DataFrame operations. It helps prevent code from breaking due to row-level issues in real-world datasets, automatically skipping rows that would otherwise cause exceptions.

Ideal for robust data pipelines, quick experimentation, and processing messy data.

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✨ Features

• ✅ Seamlessly skips problematic rows in pandas.DataFrame operations
• ⚡ Minimal overhead on clean data
• 🛠️ Works with functions that return modified DataFrames or operate in-place
• 🧪 Ideal for exploratory data analysis and production scenarios alike

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🚀 Quick Start

from PDT import PD_TOL

📚 Example

@PD_TOL
def calculate_salary_in_thousands(df):
    df["salary_k"] = df["salary"] / 1000
    return df

For specific use cases, please refer to example_usage.py（generated by Claude4）