Interfacing with R

RPy2 can only be used to call R from Python, and not the other way around. We will import some sample R datasets, and plot the data of one of them.

Getting ready

Install RPy2 if necessary. See the previous recipe.

How to do it...

Let's start by loading a sample R dataset.

  1. Load a data set into an array.

    Load the datasets with the RPy2 importr function. This function can import R packages. In this example, we will import the datasets R package. Create a NumPy array from the mtcars dataset:

    datasets = importr('datasets')
mtcars = numpy.array(datasets.mtcars)
  2. Plot the dataset.

    Plot the dataset with Matplotlib:

    matplotlib.pyplot.plot(mtcars)
matplotlib.pyplot.show()

    The following image shows the data, which is a two dimensional array:

    How to do it...

The complete code for this recipe is as follows:

from rpy2.robjects.packages import importr
import numpy
import matplotlib.pyplot

datasets = importr('datasets')
mtcars = numpy.array(datasets.mtcars)

matplotlib.pyplot.plot(mtcars)
matplotlib.pyplot.show()

See also

  • Installing Matplotlib in Chapter 1, Winding Along with IPython
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