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How to install aryanbhatia-101703107-outlier-removal via python pip




aryanbhatia-101703107-outlier-removal - A small package that removes outliers from a pandas dataframe, it belongs to Classifiers:

- License :: OSI Approved :: MIT License
- Operating System :: OS Independent

When you know about this project and you want to new install aryanbhatia-101703107-outlier-removal to support your project or you get trouble as ModuleNotFoundError: No module named "aryanbhatia-101703107-outlier-removal" or ImportError: cannot import name "aryanbhatia-101703107-outlier-removal" in your project, let follow this tutorial to install aryanbhatia-101703107-outlier-removal



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_aryanbhatia-101703107-outlier-removal_env

- Active the virtual environment

test_aryanbhatia-101703107-outlier-removal_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_aryanbhatia-101703107-outlier-removal_env

- Active the virtual environment

source test_aryanbhatia-101703107-outlier-removal_env/bin/active


Step 2: OK, now, let flow below content to start the installation aryanbhatia-101703107-outlier-removal

To install aryanbhatia-101703107-outlier-removal on Windows(CMD):

py -m pip install aryanbhatia-101703107-outlier-removal

To install aryanbhatia-101703107-outlier-removal on Unix/macOs:

pip install aryanbhatia-101703107-outlier-removal


Step 3: If you want to install a specific aryanbhatia-101703107-outlier-removal version, add ==<aryanbhatia-101703107-outlier-removal version> to the end command line

Example:

pip install aryanbhatia-101703107-outlier-removal==0.0.1


Please see the version list below table:

VersionReleased dateCommand
aryanbhatia-101703107-outlier-removal 0.0.22020-02-18T18:16:09Windows:

py -m pip install aryanbhatia-101703107-outlier-removal==0.0.2

Unix/macOs:

pip install aryanbhatia-101703107-outlier-removal==0.0.2

aryanbhatia-101703107-outlier-removal 0.0.12020-02-09T17:40:36Windows:

py -m pip install aryanbhatia-101703107-outlier-removal==0.0.1

Unix/macOs:

pip install aryanbhatia-101703107-outlier-removal==0.0.1


Step 4: Otherwise, you can install aryanbhatia-101703107-outlier-removal from local archives:

Download the distribution file from aryanbhatia_101703107_outlier_removal-0.0.2.tar.gz or the specific aryanbhatia-101703107-outlier-removal version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_aryanbhatia-101703107-outlier-removal_downloaded_file>

On Unix/macOs:

pip install <path_to_aryanbhatia-101703107-outlier-removal_downloaded_file>


List distribution:

- aryanbhatia_101703107_outlier_removal-0.0.1-py3-none-any.whl (python version >=3.6)
- aryanbhatia_101703107_outlier_removal-0.0.1.tar.gz (python version >=3.6)
- aryanbhatia_101703107_outlier_removal-0.0.2-py3-none-any.whl (python version >=3.6)
- aryanbhatia_101703107_outlier_removal-0.0.2.tar.gz (python version >=3.6)


Project link: