Graphing matplotlib with Python code in a R Markdown document

Question

Is it possible to use Python matplotlib code to draw graph in RStudio?

e.g. below Python matplotlib code:

import numpy as np
import matplotlib.pyplot         


        

Answer 1

I have been working with reticulate and R Markdown and you should specify your virtual environment. For example my R Markdown starts as follows:

{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, warning = FALSE, cache.lazy = FALSE)
library(reticulate)

use_condaenv('pytorch') ## yes, you can run pytorch and tensor flow too

Then you can work in either language. So, for plotting with matplotlib, I have found that you need the PyQt5 module to make it all run smoothly. The following makes a nice plot inside R Markdown - it's a separate chunk.

{python plot}
import PyQt5
import numpy as np
import pandas as pd
import os

import matplotlib.pyplot as plt
from matplotlib.pyplot import figure

data = pd.read_csv('Subscriptions.csv',index_col='Date', parse_dates=True)

# make the nice plot
# set the figure size
fig = plt.figure(figsize = (15,10))

# the series
ax1 = fig.add_subplot(211)
ax1.plot(data.index.values, data.Opens, color = 'green', label = 'Opens')

# plot the legend for the first plot
ax1.legend(loc = 'upper right', fontsize = 14)

plt.ylabel('Opens', fontsize=16)

# Hide the top x axis
ax1.axes.get_xaxis().set_visible(False)

#######  NOW PLOT THE OTHER SERIES ON A SINGLE PLOT

# plot 212 is the MI series

# plot series
ax2 = fig.add_subplot(212)
ax2.plot(data.index.values, data.Joiners, color = 'orange', label = 'Joiners')

# plot the legend for the second plot
ax2.legend(loc = 'upper right', fontsize = 14)

# set the fontsize for the bottom plot
plt.ylabel('Joiners', fontsize=16)

plt.tight_layout()
plt.show()

You get the following from this: