Why Doesn\'t Pip Install Packages Correctly in My Anaconda Environment?

Pip installations to Anaconda Environment: Resolution

In the quest to install packages from pip to an Anaconda environment, one might encounter issues, despite the claim in Anaconda's documentation that it's a straightforward process.

Similar to virtualenv, the recommended method is to activate the desired environment and then use pip install to incorporate the package into it. However, in certain cases, the pip installation might not work as expected, as evidenced by the error message provided: "Requirement already satisfied (use --upgrade to upgrade): Pillow in /Library/Python/2.7/site-packages."

This implies that the environment may not be behaving correctly, despite being activated. One potential issue lies in the interaction between the conda environment and the PYTHONPATH. The system tends to favor PYTHONPATH locations even within a conda environment.

To address this situation, a simple workaround is to unset PYTHONPATH before proceeding with pip installations. This measure has proven effective in improving the functionality of Anaconda environments.

Steps for successful Pip installations in Anaconda Environment:

1. Create and activate a new environment: conda create -n venv_name and conda activate venv_name.
2. Install pip within the environment: conda install pip.
3. Locate the venv directory within the Anaconda directory, usually in the format /anaconda/envs/venv_name/.
4. Install packages using: /anaconda/envs/venv_name/bin/pip install package_name or simply pip install package_name within that directory.

By following these steps, you can successfully install packages using the pip tool within an Anaconda environment, overcoming the potential issues that may arise.

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