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Awkward Array documentation — Awkward Array 2.7.1 documentation

Awkward Array documentation — Awkward Array 2.7.1 documentation

Awkward Array documentation — Awkward Array 2.7.1 documentation

Awkward Array documentation#. Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing ...

ak.prod — Awkward Array 2.7.1 documentation

ak.prod#. Defined in awkward.operations.ak_prod on line 24. ... Multiplies elements of array (many types supported, including all Awkward Arrays and Records). The ...

ak.Array — Awkward Array 2.7.1 documentation

High-level array that can contain data of any type. For most users, this is the only class in Awkward Array that matters: it is the entry point for data ...

User guide — Awkward Array 2.7.1 documentation

The user guide is a collection of “how to…” guides for common tasks. See the left side-bar (or bring it into view by clicking on the upper-left ≡ ) to access ...

ak.to_numpy — Awkward Array 2.7.1 documentation

ak.to_numpy#. Defined in awkward.operations.ak_to_numpy on line 13. ... Converts array (many types supported, including all Awkward Arrays and Records) into a ...

How to create arrays of records — Awkward Array 2.7.1 documentation

The ak.zip() function combines columns into an array of records, similar to the Pandas-style constructor described above.

ak.sum — Awkward Array 2.7.1 documentation

ak.sum# · For example, consider this array , in which all lists at a given dimension have the same length. · A sum over axis=-1 combines the inner lists, ...

ak.contents.UnmaskedArray — Awkward Array 2.7.1 documentation

This is like NumPy's masked arrays with mask=None . It is also like Apache Arrow's validity bitmaps because the bitmap can be omitted when all values are valid.

ak.values_astype — Awkward Array 2.7.1 documentation

Defined in awkward.operations.ak_values_astype on line 16. Converts all numbers in the array to a new type, leaving the structure untouched.

ak.from_avro_file — Awkward Array 2.7.1 documentation

attrs (None or dict) – Custom attributes for the output array, if high-level. Reads Avro files as Awkward Arrays. Internally this function uses AwkwardForth DSL ...

ak.pad_none — Awkward Array 2.7.1 documentation

Defined in awkward.operations.ak_pad_none on line 21. Increase the lengths of lists to a target length by adding None values.

ak.where — Awkward Array 2.7.1 documentation

ak.where#. Defined in awkward.operations.ak_where on line 20. ... This function has a one-argument form, condition without x or y , and a three-argument form, ...

How to flatten awkward arrays (e.g. for plotting) · Issue #704 - GitHub

Array , then try wrapping the Awkward Array with np.asarray . As a ... Tutorial documentation on 2021-06-18. (#943) … Verified. Verified.

Generic buffers — Awkward Array 2.7.1 documentation

Awkward Arrays can be converted to and from sets of named buffers. The buffers are not (usually) intelligible on their own.

Accessing elements of an awkward array that are not a passed-in ...

(The "TL;DR" is at the bottom, below the horizontal line.) The ~ (bitwise not) didn't work on your array of integers because it just ...

ak.num — Awkward Array 2.7.1 documentation

Defined in awkward.operations.ak_num on line 24. Returns an array of integers specifying the number of elements at a particular level.

Numba Array of Lists - Support

... awkward array” (Documentation — Awkward Array documentation). It ... arrays of uneven length while keeping as much as possible the numpy API.

Best way to save a dict of awkward1 arrays? - Stack Overflow

Even if I didn't have any documentation, it would be obvious what data is dog and what is cat. ... The fact that Awkward Array manipulates data ...

ak.contents.RecordArray — Awkward Array 2.7.1 documentation

ak.contents.RecordArray#. Defined in awkward.contents.recordarray on line 63. ... RecordArray represents an array of tuples or records, all with the same type.

Awkward arrays in C++ / ROOT #2470 - GitHub

If your array is only singly-jagged, i.e. the array x shown in this documentation, then you can Snapshot the dataframe to disk to build a TTree. However, if the ...