awkward-array | Manipulate arrays of complex data structures

by scikit-hep Python Version: 0.13.0 License: BSD-3-Clause

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kandi X-RAY | awkward-array Summary

awkward-array is a Python library typically used in Big Data, Numpy applications. awkward-array has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install awkward-array' or download it from GitHub, PyPI.

Manipulate arrays of complex data structures as easily as Numpy.

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Quality

Security

License

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Support

awkward-array has a highly active ecosystem.

It has 204 star(s) with 34 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 110 have been closed. On average issues are closed in 4 days. There are 3 open pull requests and 0 closed requests.

It has a positive sentiment in the developer community.

The latest version of awkward-array is 0.13.0

Quality

awkward-array has 0 bugs and 0 code smells.

Security

awkward-array has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

awkward-array code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

awkward-array is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

awkward-array releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

awkward-array saves you 15473 person hours of effort in developing the same functionality from scratch.

It has 30860 lines of code, 3187 functions and 122 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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awkward-array Key Features

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awkward-array Examples and Code Snippets

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Community Discussions

Trending Discussions on awkward-array

append an element to every row of a jagged array

Combine awkward-array JaggedArray contents and offsets into nested JaggedArray

QUESTION

append an element to every row of a jagged array

Asked 2021-May-12 at 23:12

I am trying to add a 0 to every row of a jagged array. I want to go from

so that when I grab the -1th index, I get 0. Currently I'm padding every row to the length of the biggest row + 1, then filling nans with 0, which works, but I am wondering if there's a better way.

I saw that there's a class AppendableArray that has a .append() function, but I'm not sure how to convert between the two. I'm using awkward 0.12.22, and the data is read out of a ROOT file with uproot 3.11.0

...

ANSWER

Answered 2021-May-12 at 23:03

Perhaps this is too short to be an answer, but

Upgrade to Awkward 1.x (you can still import awkward0 and use ak.from_awkward0 and ak.to_awkward0 to go back and forth in the same process).
Create an array of single-item lists, perhaps in NumPy (ak.from_numpy), perhaps by slicing a one-dimensional array with np.newaxis.
Concatenate it with your other array using ak.concatenate with axis=1. The first dimension needs to be the same (len of both arrays must be equal), but the second dimensions are unconstrained.

Source https://stackoverflow.com/questions/67511767

QUESTION

Combine awkward-array JaggedArray contents and offsets into nested JaggedArray

Asked 2020-Feb-16 at 18:38

I'm trying to use the excellent uproot and awkward-array to read some analysis data stored in a TTree. I understand that ROOT doesn't write nested vectors (ie. std::vector>) in a columnar format, but following this discussion, I modified my tree output to contain two separate branches: one std::vector with the content, and one std::vector with the offsets. The contents vector has values pushed into it multiple times between filling the tree. Each time it has values pushed in, the size of the contents vector is stored in the offsets.

My idea was that I would recreate the structure that I need via a nested JaggedArray when I read the tree. However, reading through the awkward-array documentation, I can't seem to figure out the right way to construct this nested JaggedArray without looping in python. fromoffsets requires a 1D index, which means that the jagged indices must be flattened, which then loses their structure. None of the other classmethods seem to fit. The example below uses a generator, which I think will be rather slow due to looping in python. Is there a better way to construct the JaggedArray? Or a better way to store the data in the tree?

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ANSWER

Answered 2020-Feb-16 at 18:38

You've got the right idea, but ultimately, there isn't a way to convert a jagged ObjectArray into a doubly jagged array without a "for" loop. The structure of the data requires it.

This is a key issue, though, and it's a reason why some of these algorithms are being ported into C++. The last plot in this talk directly addresses this kind of data (jagged^N of numbers) with a "for" loop moved into C++. This is in development for Awkward 1.0 and Uproot 4.0, which is scheduled to be ready for users at the end of April. (At which point, the conversion of std::vector> will be automatic, because there's no performance penality anymore.)

At the moment, however, a Python "for" loop, implicitly within fromiter, is the best you can do.

Source https://stackoverflow.com/questions/60250877

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install awkward-array

You can install using 'pip install awkward-array' or download it from GitHub, PyPI.
You can use awkward-array like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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