Skip to main content

operate on HPCtoolkit XML database files as pandas DataFrames

Project description

package version from PyPI build status from Travis CI build status from AppVeyor test coverage from Codecov license

Operate on HPCtoolkit XML database files as pandas DataFrames.

Usage

Please see examples.ipynb for details.

Installation

For simplest installation use pip:

pip3 install hpctoolkit_dataframe

Requirements

Python version 3.6 or later.

Python libraries as specified in requirements.txt.

Building and running tests additionally requires packages listed in test_requirements.txt.

Tested on Linux, OS X and Windows.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for hpctoolkit-dataframe, version 0.2.0
Filename, size File type Python version Upload date Hashes
Filename, size hpctoolkit_dataframe-0.2.0-py3-none-any.whl (13.3 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size hpctoolkit_dataframe-0.2.0.tar.gz (282.3 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page