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Rootpy documentation guidelines: >> http://ghe.cloudz.pw/read?file=rootpy+documentation+guidelines << (Read Online)
Outline. This tutorial serves as a generic introduction to python and a brief introduction to the high-energy physics analysis package "pyROOT". It is designed to take about 2 hours to read through and run the examples. That is just enough time to get started with python, have a feel for how the language works and be able to
Background: I am trying to use pytables in conjunction with rootpy in order to convert ROOT files into hdf5 files. I'm trying to run the example on how to plot ROOT histograms via matplotlib from the rootpy documentation. This results in I installed rootpy and ensured that the requirements listed here for root2hdf5 were met.
The rootpy project is a community-driven initiative aiming to provide a more pythonic interface with ROOT on top of the existing PyROOT bindings. Given Python's reflective and dynamic nature, rootpy also aims to improve ROOT design flaws and supplement existing ROOT functionality. The scientific Python community also
sudo pip install rootpy. Note. The above will install the latest version of rootpy available on PyPI and may be lacking many new unreleased features. You can also use pip to install the latest version of rootpy on github: pip install --upgrade --user https://github.com/rootpy/rootpy/zipball/master. To install optional requirements
PyROOT is a Python extension module that allows the user to interact with any ROOT class from the Python interpreter. This is done generically interrogating the ROOT type system, therefore there is no need to generate any Python wrapper code to include new ROOT classes. At the same time PyROOT offers the possibility
You may also decorate TTree objects with additional methods and attributes. See examples/tree. easy navigation through TFiles. rootpy wraps TFile and implements the natural naming convention so that objects may be retrieved with myFile.someDirectory.treeName, for example. an interface between ROOT and matplotlib.
30 Dec 2012 A pythonic layer on top of the ROOT framework's PyROOT bindings.
13 Nov 2011 The way PyROOT should be, and more! To install the optional requirements (first download a source distribution if you haven't already): Documentation; Tutorials; A website displaying the above; Unit testing; Brenchmarking performance (i.e. Tree read/write); Finishing the server/worker code for
11 Mar 2013 A pythonic layer on top of the ROOT framework's PyROOT bindings. Documentation. View the documentation at rootpy.org or (a possibly more up-to-date version) at rootpy.github.com/rootpy. Also see an introductory presentation To install optional requirements (matplotlib, NumPy, etc.): pip install -U -r
The generality with which PyROOT creates bindings based on dictionaries makes that it is close to the original C++, which is great for e.g. sharing documentation. However, where it is possible to do so automatically, e.g. for handling of container classes, "pythonizations" are available. If that is not enough for your needs,
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