Ak.zip -

: It is specifically designed to handle "ragged" or jagged data, where nested lists may have different lengths across different entries. Key Parameters According to the Awkward Array documentation :

# Example: Creating a record array with fields "x" and "y" import awkward as ak array = ak.zip({"x": [1, 2, 3], "y": [1.1, 2.2, 3.3]}) # Result: Use code with caution. Copied to clipboard ak.zip

: If you pass a list or tuple of arrays instead of a dictionary, it creates an array of unnamed tuples. : It is specifically designed to handle "ragged"

: Controls how deeply the function should interleave the lists. Setting depth_limit=1 creates a record structure at the outermost level without attempting to broadcast deeper nested lists. : Controls how deeply the function should interleave

: In comparison to Pandas, where concat(axis=1) adds columns, ak.zip is the equivalent for adding fields to an Awkward Array record .

: By passing a dictionary to ak.zip , you can create named fields.

: If set to True , it effectively takes the union of option masks when zipping arrays with None values, placing the None outside the record rather than inside it. Common Use Cases