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 ...

Awkward Array documentation — Awkward Array 2.7.1 documentation

Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms.

ak.all — Awkward Array 2.7.1 documentation

ak.all#. Defined in awkward.operations.ak_all on line 24. ... Returns True in each group of elements from array (many types supported, including all Awkward ...

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.from_arrow — Awkward Array 2.7.1 documentation

ak.from_arrow#. Defined in awkward.operations.ak_from_arrow on line 16. ... Converts an Apache Arrow array into an Awkward Array. This function always preserves ...

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.

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 ...

ak.contents.NumpyArray — Awkward Array 2.7.1 documentation

ak.contents.NumpyArray#. Defined in awkward.contents.numpyarray on line 61. ... A NumpyArray describes 1-dimensional or rectilinear data using a NumPy np.ndarray ...

ak.is_none — Awkward Array 2.7.1 documentation

ak.is_none#. Defined in awkward.operations.ak_is_none on line 23. ... Returns an array whose value is True where an element of array is None; False otherwise (at ...

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.to_tensorflow — Awkward Array 2.7.1 documentation

Converts array (only ListOffsetArray, ListArray, RegularArray and NumpyArray data types supported) into a TensorFlow Tensor, if possible. If array contains any ...

ak.ravel — Awkward Array 2.7.1 documentation

ak.ravel#. Defined in awkward.operations.ak_ravel on line 17. ... Returns an array with all level of nesting removed by erasing the boundaries between consecutive ...

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

If you have more than one level of nested arrays, either call ak. ... Tutorial documentation on 2021-06-18. (#943) … Verified. Verified. This ...

ak.to_buffers — Awkward Array 2.7.1 documentation

ak.to_buffers#. Defined in awkward.operations.ak_to_buffers on line 16. ... Decomposes an Awkward Array into a Form and a collection of memory buffers, so that ...

Error when using an awkward array with an index array

If you're trying to avoid Python for loops for performance, note that the first line casts a NumPy array as Awkward with ak.from_numpy (no ...

ak.forms.ListForm — Awkward Array 2.7.1 documentation

ak.forms.ListForm#. Defined in awkward.forms.listform on line 20. class ak.forms.ListForm(self, starts, stops, content, *, parameters=None, form_key=None)#.

ak.add function similar to np.add - awkward array - Stack Overflow

You can't add these two arrays. It's not because Awkward lacks an ak.add function. Such a thing would be identical to np.add.

Saving dict of awkward arrays and re-reading it efficiently #1454

Hi,. I have some data that I store in the form of a dict of awkward arrays: akarr = ak.Array({"x" ...

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.