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How to install thresholdmodeling via python pip




thresholdmodeling - This package is intended for those who wish to conduct an extreme values analysis. It provides the whole toolkit necessary to create a threshold model in a simple and efficient way, presenting the main methods towards the Peak-Over-Threshold Method and the fit in the Generalized Pareto Distribution. For installing and use it, go to https://github.com/iagolemos1/thresholdmodeling, it belongs to Classifiers:

- License :: OSI Approved :: GNU General Public License (GPL)

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



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_thresholdmodeling_env

- Active the virtual environment

test_thresholdmodeling_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_thresholdmodeling_env

- Active the virtual environment

source test_thresholdmodeling_env/bin/active


Step 2: OK, now, let flow below content to start the installation thresholdmodeling

To install thresholdmodeling on Windows(CMD):

py -m pip install thresholdmodeling

To install thresholdmodeling on Unix/macOs:

pip install thresholdmodeling


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

Example:

pip install thresholdmodeling==0.0.1


Please see the version list below table:

VersionReleased dateCommand
thresholdmodeling 0.0.12019-12-27T15:34:27Windows:

py -m pip install thresholdmodeling==0.0.1

Unix/macOs:

pip install thresholdmodeling==0.0.1


Step 4: Otherwise, you can install thresholdmodeling from local archives:

Download the distribution file from thresholdmodeling-0.0.1.tar.gz or the specific thresholdmodeling version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_thresholdmodeling_downloaded_file>

On Unix/macOs:

pip install <path_to_thresholdmodeling_downloaded_file>


List distribution:


Project link:

- Homepage