hpctoolkit-dataframe


Namehpctoolkit-dataframe JSON
Version 0.3.0 PyPI version JSON
download
home_pagehttps://github.com/mbdevpl/hpctoolkit_dataframe
SummaryOperate on HPCtoolkit XML database files as pandas DataFrames.
upload_time2024-03-02 04:40:51
maintainerMateusz Bysiek
docs_urlNone
authorMateusz Bysiek
requires_python>=3.8
licenseApache License 2.0
keywords hpc high-performance computing performance profiling
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            .. role:: bash(code)
    :language: bash

.. role:: python(code)
    :language: python

====================
HPCtoolkit DataFrame
====================

Operate on HPCtoolkit XML database files as pandas DataFrames.

.. image:: https://img.shields.io/pypi/v/hpctoolkit_dataframe.svg
    :target: https://pypi.org/project/hpctoolkit_dataframe
    :alt: package version from PyPI

.. image:: https://github.com/mbdevpl/hpctoolkit_dataframe/actions/workflows/python.yml/badge.svg?branch=main
    :target: https://github.com/mbdevpl/hpctoolkit_dataframe/actions
    :alt: build status from GitHub

.. image:: https://codecov.io/gh/mbdevpl/hpctoolkit_dataframe/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/mbdevpl/hpctoolkit_dataframe
    :alt: test coverage from Codecov

.. image:: https://api.codacy.com/project/badge/Grade/fff0555067d34db08d22df30305dee1b
    :target: https://app.codacy.com/gh/mbdevpl/hpctoolkit_dataframe
    :alt: grade from Codacy

.. image:: https://img.shields.io/github/license/mbdevpl/hpctoolkit_dataframe.svg
    :target: https://github.com/mbdevpl/hpctoolkit_dataframe/blob/v0.3.0/NOTICE
    :alt: license

Database files generated by HPCtoolkit can be read by the GUI-based tools provided by developers of
HPCtoolkit. However, programmatic access and analysis of such files is troublesome.

This library provides an HPCtoolkitDataFrame object, which is essentially a pandas DataFrame
and can be queried and sliced as easily as any DataFrame. But it extends this functionality with
methods for analysis and visualisation of performance data.

.. contents::
    :backlinks: none

Usage
=====

Please see `<examples.ipynb>`_ for details.

Installation
============

For simplest installation use :bash:`pip`:

.. code:: bash

    pip3 install hpctoolkit_dataframe

Requirements
------------

Python version 3.8 or later.

Python libraries as specified in `requirements.txt <https://github.com/mbdevpl/hpctoolkit_dataframe/blob/v0.3.0/requirements.txt>`_.

Building and running tests additionally requires packages listed in `requirements_test.txt <https://github.com/mbdevpl/hpctoolkit_dataframe/blob/v0.3.0/requirements_test.txt>`_.

Tested on Linux, macOS and Windows.

Links
=====

-   HPCtoolkit: http://hpctoolkit.org/

-   `pandas.DataFrame`: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html

            

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