The easiest way to install pandas is to install it as part of the Anaconda distribution, a cross platform distribution for data analysis and scientific computing. This is the recommended installation method for most users. Instructions for installing from source, PyPI, ActivePython, various Linux distributions, or a development version are also provided. Any Python package you install from PyPI or Conda can be used from R with reticulate. Each version of Python on your system has it’s own set of packages and reticulate will automatically find a version of Python that contains the first package that you import from R.

1. Conda Install Pandas Version

Overview

Python packages are typically installed from one of two package repositories:

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1. PyPI; or

Any Python package you install from PyPI or Conda can be used from R with reticulate.

Each version of Python on your system has its own set of packages and reticulate will automatically find a version of Python that contains the first package that you import from R. If need be you can also configure reticulate to use a specific version of Python.

Python environments

When installing Python packages it’s typically a good practice to isolate them within a Python environment (a named Python installation that exists for a specific project or purpose). This provides a measure of isolation, so that updating a Python package for one project doesn’t impact other projects.

Conda Install Pandas Version

The reticulate package includes functions for creating Python environments (either virtualenvs or conda envs) and installing packages within them. Using virtualenvs is supported on Linux and Mac OS X, using Conda environments is supported on all platforms including Windows.