uproot | ROOT I/O in pure Python and NumPy | Data Visualization library

 by   scikit-hep Python Version: 3.12.0 License: BSD-3-Clause

kandi X-RAY | uproot Summary

kandi X-RAY | uproot Summary

uproot is a Python library typically used in Analytics, Data Visualization, Numpy applications. uproot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

ROOT I/O in pure Python and NumPy.
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              uproot has a highly active ecosystem.
              It has 301 star(s) with 61 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 26 open issues and 287 have been closed. On average issues are closed in 102 days. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of uproot is 3.12.0

            kandi-Quality Quality

              uproot has 0 bugs and 0 code smells.

            kandi-Security Security

              uproot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              uproot code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              uproot 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.

            kandi-Reuse Reuse

              uproot releases are available to install and integrate.
              Build file is available. You can build the component from source.
              uproot saves you 11218 person hours of effort in developing the same functionality from scratch.
              It has 22720 lines of code, 1773 functions and 96 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            uproot Key Features

            No Key Features are available at this moment for uproot.

            uproot Examples and Code Snippets

            No Code Snippets are available at this moment for uproot.

            Community Discussions

            QUESTION

            TLorentz vector features in uproot4/vector when calculating invariant mass of a jet
            Asked 2022-Feb-01 at 01:49

            I wish to sum all the 4-momenta of the constituents in a jet. In uproot3 (+ uproot3-methods) there was the functionality of creating a TLorentzVectorArray and just doing .sum()

            So this worked fine:

            ...

            ANSWER

            Answered 2022-Feb-01 at 01:49

            For a solution that works equally well for flat arrays of Lorentz vectors as for jagged arrays of Lorentz vectors, try this:

            Source https://stackoverflow.com/questions/70927986

            QUESTION

            Uproot issue: Trouble making sense of a particular 'branch'
            Asked 2022-Jan-12 at 16:20

            I have a root file open in python as such:

            ...

            ANSWER

            Answered 2022-Jan-12 at 16:20

            Directories (uproot.ReadOnlyDirectory) and TTrees (uproot.TTree) are objects that can initiate more reading, so they are navigable as Mappings with keys() and square-bracket syntax (__getitem__).

            This object evidently has class type TVectorT_3c_double_3e_ (a Python model, uproot.Model, of C++ class TVectorT). Some objects like this have custom "behaviors," which are user-friendly properties and methods. For example, the model of TParameter has a value property (see uproot.behaviors.TParameter). This one does not.

            When Uproot reads an object and does not have custom behaviors, you can still access its C++ private member data through the uproot.Model.member method or the uproot.Model.all_members property (dict). In fact, these are how high-level behaviors get implemented: the reading of C++ private member data is automatic, but humans have to design high-level APIs by writing functions to access them in a more user-friendly way, something that's happened for TParameter but not TVectorT yet.

            (To first order, ROOT has infinitely many classes.)

            So, to be explicit, do

            Source https://stackoverflow.com/questions/70675376

            QUESTION

            Use a multidimensional index on a MultiIndex pandas dataframe?
            Asked 2021-Aug-04 at 15:32

            I have a multiindex pandas dataframe that looks like this (called p_z):

            ...

            ANSWER

            Answered 2021-Aug-04 at 07:48

            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

            to

            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

            1. 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).
            2. Create an array of single-item lists, perhaps in NumPy (ak.from_numpy), perhaps by slicing a one-dimensional array with np.newaxis.
            3. 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

            Adding a letterhead to an RMarkdown PDF
            Asked 2021-Apr-10 at 18:42

            I'm trying to replicate a report using RMarkdown/LaTeX. Is it possible to add a letterhead to the top of a page in a similar way to the image I've attached? Hoping to find a solution where I can have a letterhead with a logo in it (and where I can easily customise the text and color of the letterhead too).

            TIA

            I'm using the standard article document class. Here is my YAML in RMarkdown

            ...

            ANSWER

            Answered 2021-Apr-08 at 08:56

            To give you something to start with, you can use fancyhdr and tikz to design your own header:

            Source https://stackoverflow.com/questions/66877489

            QUESTION

            Reading a branch of TH1Ds
            Asked 2021-Mar-06 at 14:46

            I am trying to read a branch of TH1D objects in uproot4. A sample rootfile can be created with:

            ...

            ANSWER

            Answered 2021-Mar-05 at 19:33

            You're not doing something wrong: it's a NotImplementedError because memberwise serialization has not been implemented in Uproot. That's Issue #38, which has been getting a lot of attention recently.

            Other people finding this question, years later: check to see if Issue #38 has been resolved.

            Source https://stackoverflow.com/questions/66497060

            QUESTION

            How do I read a TMatrixT with uproot in Python?
            Asked 2021-Jan-21 at 19:42

            I have a *.root file I'm trying to read into Python with uproot (uproot4). It looks like this:

            ...

            ANSWER

            Answered 2021-Jan-21 at 19:42

            TMatrixT is a class that Uproot doesn't have any specialized code for (yet?), but it can be read anyway because its "streamers" (instructions for deserialization) are included in the ROOT file. It's therefore presented in a rather generic way.

            You can find all of an object's member data in all_members (dict) or extract only one using the member("memberName") method. So, for instance, try

            Source https://stackoverflow.com/questions/65833805

            QUESTION

            awkward array ak.unzip behaviour
            Asked 2021-Jan-08 at 06:12

            When I acess a root file and extract the data I want like in following example:

            ...

            ANSWER

            Answered 2021-Jan-08 at 06:12

            This is actually a question about Uproot. In this line:

            Source https://stackoverflow.com/questions/65623014

            QUESTION

            ROOT functions in upROOT?
            Asked 2020-Dec-22 at 16:40

            I'm trying to run analysis strictly in Python using upROOT, but I'm finding (unsurprisingly) that I have to build a lot of tools that are already in ROOT. I don't mind doing it, but I want to make sure I don't mess stuff up.

            For instance, I have the following for mass squared:

            ...

            ANSWER

            Answered 2020-Dec-22 at 16:40

            There’s a module in upROOT called “vector” which works for these purposes; it’s new in uproot4 (running with awkward1.0). Anyone interested can check it out here. I’m marking this as solved since this is exactly what I'm looking for, though it should be noted that "vector" is currently in development so it's not yet complete.

            Thanks!

            Source https://stackoverflow.com/questions/65331226

            QUESTION

            Can uproot3 write TBranches containing arrays?
            Asked 2020-Dec-19 at 15:00

            In uproot 3 documentation there is information, that uproot can write only branches containing 1 value per entry. On the other hand, I can see some topics on uproot Github regarding writing jagged arrays, etc. So, I would like to make sure: can uproot write TBranches containing arrays to a TTree? If so, is it documented anywhere?

            Thanks!

            ...

            ANSWER

            Answered 2020-Dec-19 at 15:00

            This will be better documented when it's ported to Uproot 4, but the best documentation we have on writing jagged arrays in Uproot 3 right now is the pull request and associated issues (all linked to each other):

            https://github.com/scikit-hep/uproot3/pull/477

            Here is an example from the tests:

            Source https://stackoverflow.com/questions/65370728

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

            Vulnerabilities

            No vulnerabilities reported

            Install uproot

            You can download it from GitHub.
            You can use uproot 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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            https://github.com/scikit-hep/uproot.git

          • CLI

            gh repo clone scikit-hep/uproot

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            git@github.com:scikit-hep/uproot.git

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