uproot | ROOT I/O in pure Python and NumPy | Data Visualization library
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kandi X-RAY | uproot Summary
ROOT I/O in pure Python and NumPy.
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Trending Discussions on uproot
QUESTION
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 01:49For a solution that works equally well for flat arrays of Lorentz vectors as for jagged arrays of Lorentz vectors, try this:
QUESTION
I have a root file open in python as such:
...ANSWER
Answered 2022-Jan-12 at 16:20Directories (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
QUESTION
I have a multiindex pandas dataframe that looks like this (called p_z):
...ANSWER
Answered 2021-Aug-04 at 07:48IIUC:
Input data:
QUESTION
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 23:03Perhaps this is too short to be an answer, but
- Upgrade to Awkward 1.x (you can still import
awkward0
and useak.from_awkward0
andak.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 withnp.newaxis
. - Concatenate it with your other array using
ak.concatenate
withaxis=1
. The first dimension needs to be the same (len
of both arrays must be equal), but the second dimensions are unconstrained.
QUESTION
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 08:56To give you something to start with, you can use fancyhdr
and tikz
to design your own header:
QUESTION
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 19:33You'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.
QUESTION
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 19:42TMatrixT 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
QUESTION
When I acess a root file and extract the data I want like in following example:
...ANSWER
Answered 2021-Jan-08 at 06:12This is actually a question about Uproot. In this line:
QUESTION
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 16:40There’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!
QUESTION
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 15:00This 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:
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Install uproot
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.
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