oamap | Perform high-speed calculations

 by   diana-hep Python Version: 0.12.4 License: BSD-3-Clause

kandi X-RAY | oamap Summary

kandi X-RAY | oamap Summary

oamap is a Python library. oamap has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install oamap' or download it from GitHub, PyPI.

Perform high-speed calculations on columnar data without creating intermediate objects.
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            kandi-support Support

              oamap has a low active ecosystem.
              It has 78 star(s) with 11 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 3 have been closed. On average issues are closed in 13 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of oamap is 0.12.4

            kandi-Quality Quality

              oamap has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              oamap 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

              oamap releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              oamap saves you 5139 person hours of effort in developing the same functionality from scratch.
              It has 10803 lines of code, 1052 functions and 33 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed oamap and discovered the below as its top functions. This is intended to give you an instant insight into oamap implemented functionality, and help decide if they suit your requirements.
            • Construct an OAMap from a numpy array
            • Helper function to fill an object from data
            • Construct an OAMap from data
            • Convert from data to forefront
            • Create a pyarrow map
            • Split data into multiple paths
            • Return OAML schema
            • Proxy to oamapap
            • Return a JSON representation of this record
            • Put a Dataset into the database
            • Create a Pointer instance
            • Convert to JSON representation
            • Convert to JSON format
            • Put a Dataset in the database
            • Keep only the fields that match loc
            • Get all the roles from the partition
            • Return a dict of possible possibilities
            • Returns a new Dataset
            • Return a JSON representation of the primitive
            • Get all the given roles
            • Perform a transformation on the current object
            • Decorator to update operations
            • Construct an OAMMap from a sequence of values
            • Create a dataset
            • Internal helper function for generating types
            • Internal helper for _generator
            Get all kandi verified functions for this library.

            oamap Key Features

            No Key Features are available at this moment for oamap.

            oamap Examples and Code Snippets

            No Code Snippets are available at this moment for oamap.

            Community Discussions

            Trending Discussions on oamap

            QUESTION

            Can't load data from uproot in Python
            Asked 2019-Sep-27 at 18:02

            I am trying to load a Higgs Boson dataset from uproot. I am not comfortable with the use of uproot and the .root data type. I am using the following code which is a sort of official instructions to load the library. I have made a virtual environment and installed the necessary libraries

            ...

            ANSWER

            Answered 2018-Mar-08 at 06:33

            Python 2 and 3 differ in their treatment of byte strings versus unicode strings: Python 2 implicitly converts (weakly, dynamically typed), but Python 3 complains (strongly, dynamically typed).

            Names that come from ROOT files are byte strings because ROOT provides no encodings. They're all just "char *". The appropriate Python type is byte string.

            OAMap just doesn't want to deal with this— array names are strings, meaning anything in unicode. In Python 2, an encoding is implicitly assigned to make this true; Python 3 is stricter about how the encoding is assigned. Its connector to ROOT might be missing cases to handle unencoded byte strings.

            Switch to Python 2 for an easy fix.

            Source https://stackoverflow.com/questions/49132429

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

            Vulnerabilities

            No vulnerabilities reported

            Install oamap

            You can install using 'pip install oamap' or download it from GitHub, PyPI.
            You can use oamap 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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            Install
          • PyPI

            pip install oamap

          • CLONE
          • HTTPS

            https://github.com/diana-hep/oamap.git

          • CLI

            gh repo clone diana-hep/oamap

          • sshUrl

            git@github.com:diana-hep/oamap.git

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