analysta 0.0.2

DataFrame Toolkit for Analysts

analysta 🖇️

A Python library for comparing pandas DataFrames using primary keys, tolerances, and audit-friendly diffs.
Easily detect mismatches, missing rows, and cell-level changes between two datasets.

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🧾 Table of Contents

• Installation
• Quick Example
• Features
• License

🚀 Installation

pip install analysta

Python 3.9 or higher is required.

⚡ Quick Example

from analysta import Delta
import pandas as pd

df1 = pd.DataFrame({"id": [1, 2], "price": [100, 200]})
df2 = pd.DataFrame({"id": [1, 2], "price": [100, 250]})

delta = Delta(df1, df2, keys=["id"])
print(delta.unmatched_a)         # Rows in df1 not in df2
print(delta.unmatched_b)         # Rows in df2 not in df1
print(delta.changed("price"))    # Row(s) where price changed

✨ Features

• Key-based row comparison: "A not in B" and vice versa
• Tolerant numeric diffs (absolute & relative)
• Highlight changed columns
• Built for analysts, not just engineers
• CLI and HTML reporting coming soon

📄 License

analysta is distributed under the terms of the MIT license.