This document demonstrates how to use Rpy2 packages in Python to run R functions and packages. It shows how to install and load Rpy2 and related packages like IPython. Then it provides examples of using Rpy2 to create basic plots using R's graphics package and more advanced plots using GGPLOT2. The examples include creating a bar plot and scatter plot using built-in R datasets.

1. 5/19/2020 Untitled11
localhost:8888/nbconvert/html/Untitled11.ipynb?download=false 1/4
Last Topic Rpy2 Packages (Running R functions on
Python Enviroment)
Fundamental Demonstration in Python Language
Asst. Prof. Ashwini Mathur
Install and load the required packages
In [12]: #conda install -c r rpy2 [Installation of Rpy2 Package]
In [13]: #pip install Ipython
In [14]: import rpy2
In [15]: import rpy2.robjects as robjects
In [16]: #!pip install ipython
import IPython
In [17]: from IPython.display import Image
from IPython.display import display
In [18]: from rpy2.robjects.lib import grdevices
from rpy2.robjects.vectors import IntVector
graphics = robjects.packages.importr('graphics')
In [19]: with grdevices.render_to_bytesio(grdevices.jpeg, width=1024, height=896, res =
150) as img:
graphics.barplot(IntVector((1,2,3,4,5)), ylab='value')

2. 5/19/2020 Untitled11
localhost:8888/nbconvert/html/Untitled11.ipynb?download=false 2/4
In [20]: display(Image(data=img.getvalue(), format='jpeg', embed=True))
Demonstration of GGPLOT2 PACKAGE IN PYTHON PACKAGE

3. 5/19/2020 Untitled11
localhost:8888/nbconvert/html/Untitled11.ipynb?download=false 3/4
In [21]: import rpy2.robjects.lib.ggplot2 as ggplot2
datasets = robjects.packages.importr('datasets')
mtcars = robjects.packages.data(datasets).fetch('mtcars')['mtcars']
mtcars
Out[21]: R/rpy2 DataFrame (32 x 11)
mpg cyl disp ... am gear carb
21.000000 6.000000 160.000000 ... 1.000000 4.000000 4.000000
21.000000 6.000000 160.000000 ... 1.000000 4.000000 4.000000
22.800000 4.000000 108.000000 ... 1.000000 4.000000 1.000000
21.400000 6.000000 258.000000 ... 0.000000 3.000000 1.000000
... ... ... ... ... ... ...
15.800000 8.000000 351.000000 ... 1.000000 5.000000 4.000000
19.700000 6.000000 145.000000 ... 1.000000 5.000000 6.000000
15.000000 8.000000 301.000000 ... 1.000000 5.000000 8.000000
21.400000 4.000000 121.000000 ... 1.000000 4.000000 2.000000

4. 5/19/2020 Untitled11
localhost:8888/nbconvert/html/Untitled11.ipynb?download=false 4/4
In [22]: with grdevices.render_to_bytesio(grdevices.png, width=1024, height=896, res =
150) as img:
gp = ggplot2.ggplot(mtcars)
pp = (
gp
+ ggplot2.aes_string(x = 'wt', y = 'mpg')
+ ggplot2.geom_point(ggplot2.aes_string(colour = 'qsec'))
+ ggplot2.scale_colour_gradient(low='yellow', high = 'red')
+ ggplot2.labs(title = 'Rpy2 ggplot2 MTCARS')
+ ggplot2.theme_bw()
)
pp.plot()
display(Image(data=img.getvalue(), format='png', embed=True))
Enjoy Practicing !!!!