: It is frequently used when reading from or writing to ROOT files (standard in physics) to ensure that attributes with the same "raggedness" (like jet or muon properties) are grouped correctly for storage. How to concatenate and interleave arrays
: If you pass a list or tuple of arrays instead of a dictionary, it creates an array of unnamed tuples. ak.zip
The primary purpose of ak.zip is to take several arrays and "zip" them together so that each element of the resulting array is a record (like a row in a table) containing values from each input array. : It is frequently used when reading from
# 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 # Example: Creating a record array with fields
: In comparison to Pandas, where concat(axis=1) adds columns, ak.zip is the equivalent for adding fields to an Awkward Array record .
: 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
: By passing a dictionary to ak.zip , you can create named fields.