groupbyScore 0.0.4

You can group similar items (e.g., strings or dict fields) using the fuzzywuzzy package by comparing their similarity scores.

🔍 groupbyScore – Group Similar Items Using Fuzzy Matching in Python

Overview

groupbyScore is a Python function that groups similar records from a list of dictionaries using fuzzy matching. It utilizes the rapidfuzz package for high-performance string similarity scoring.

---

📦 Dependencies

• Python 3.6+
• rapidfuzz

Install with:

pip install rapidfuzz

---

🚀 Function Signature

groupbyScore(all_data, score, key)

Parameters

• all_data (List[dict]): A list of dictionaries to be grouped.
• key (Callable): A function returning a tuple of values (e.g., lambda x: (x["Notes"], x["page_num"])) used to compare and group.

---

⚙️ How It Works

1. Iterates over all item pairs in the dataset.

2. Compares each field in the key(...) tuple:

   • Strings: fuzz.partial_ratio > 80
   • Integers: must match exactly

3. Groups items where all key fields match.

4. Yields:

   • the group key
   • the list of matching items

---

✅ Example Usage

from groupbyScore.groupbyScore import groupbyScore

data = [
    {"Notes": "Chest Pain", "page_num": 1},
    {"Notes": "chest pain", "page_num": 1},
    {"Notes": "church", "page_num": 1},
    {"Notes": "Fever", "page_num": 2},
    {"Notes": "feverish", "page_num": 2}
]

for key, group in groupbyScore(data, key=lambda x: (x["Notes"], x["page_num"]),score=90):
    print("Group Key:", key)
    print("Group Items:", group)

---

📤 Example Output

Group Key: ('Chest Pain', 1)
Group Items: [{'Notes': 'Chest Pain', 'page_num': 1}, {'Notes': 'chest pain', 'page_num': 1}]

Group Key: ('Fever', 2)
Group Items: [{'Notes': 'Fever', 'page_num': 2}, {'Notes': 'feverish', 'page_num': 2}]

---

📎 GitHub

🔗 https://github.com/postboxat18/groupbyScore.git