Description:

hpctoolkitdataframe 0.3.0

Operate on HPCtoolkit XML database files as pandas DataFrames.





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

Usage
Installation

Requirements


Links



Usage
Please see examples.ipynb for details.


Installation
For simplest installation use pip:
pip3 install hpctoolkit_dataframe

Requirements
Python version 3.8 or later.
Python libraries as specified in requirements.txt.
Building and running tests additionally requires packages listed in 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

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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