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Data pipelines & processing

ETL-style flows, batch transforms, validation, and moving data between formats.

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Data pipelines & processing easy

How to Explode an Array Field into Multiple Rows in Python

This code flattens a list of dictionaries by exploding each array field value into its own row, duplicating the other fields as needed.

data transformation arrays flattening
Python 
from collections import defaultdict

data = [
    {"id": 1, "name": "Alice", "tags": ["python", "data", "ai"]},
    {"id": 2, "name": "Bob", "tags": ["web", "devops"]},
    {"id": 3, "name": "Carol", "tags": []},
]

def explode_array_field(records, array_field):
    result = []
    for record in records:
        for v…
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