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How to install hpctoolkit-dataframe via python pip




hpctoolkit-dataframe - operate on HPCtoolkit XML database files as pandas DataFrames, it belongs to Classifiers:

- Development Status :: 2 - Pre-Alpha
- Environment :: Console
- Intended Audience :: Science/Research
- License :: OSI Approved :: Apache Software License
- Natural Language :: English
- Operating System :: POSIX
- Programming Language :: Python :: 3 :: Only
- Topic :: Scientific/Engineering
- Topic :: Utilities

When you know about this project and you want to new install hpctoolkit-dataframe to support your project or you get trouble as ModuleNotFoundError: No module named "hpctoolkit-dataframe" or ImportError: cannot import name "hpctoolkit-dataframe" in your project, let follow this tutorial to install hpctoolkit-dataframe



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel


Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_hpctoolkit-dataframe_env

- Active the virtual environment

test_hpctoolkit-dataframe_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_hpctoolkit-dataframe_env

- Active the virtual environment

source test_hpctoolkit-dataframe_env/bin/active


Step 2: OK, now, let flow below content to start the installation hpctoolkit-dataframe

To install hpctoolkit-dataframe on Windows(CMD):

py -m pip install hpctoolkit-dataframe

To install hpctoolkit-dataframe on Unix/macOs:

pip install hpctoolkit-dataframe


Step 3: If you want to install a specific hpctoolkit-dataframe version, add ==<hpctoolkit-dataframe version> to the end command line

Example:

pip install hpctoolkit-dataframe==0.1.0


Please see the version list below table:

VersionReleased dateCommand
hpctoolkit-dataframe 0.2.02019-03-27T08:42:03Windows:

py -m pip install hpctoolkit-dataframe==0.2.0

Unix/macOs:

pip install hpctoolkit-dataframe==0.2.0

hpctoolkit-dataframe 0.1.02018-10-03T08:24:47Windows:

py -m pip install hpctoolkit-dataframe==0.1.0

Unix/macOs:

pip install hpctoolkit-dataframe==0.1.0


Step 4: Otherwise, you can install hpctoolkit-dataframe from local archives:

Download the distribution file from hpctoolkit_dataframe-0.2.0.tar.gz or the specific hpctoolkit-dataframe version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_hpctoolkit-dataframe_downloaded_file>

On Unix/macOs:

pip install <path_to_hpctoolkit-dataframe_downloaded_file>


List distribution:

- hpctoolkit_dataframe-0.1.0-py3-none-any.whl (python version >=3.6)
- hpctoolkit_dataframe-0.1.0.tar.gz (python version >=3.6)
- hpctoolkit_dataframe-0.2.0-py3-none-any.whl (python version >=3.6)
- hpctoolkit_dataframe-0.2.0.tar.gz (python version >=3.6)


Project link:

- Homepage
- Download