I was wondering if anyone had any insights around displaying a Seaborn Python plot in R Markdown with {reticulate}.
For reproducibility, here's an example from this article: 
But producing the same plot when knitting an .Rmd file (flexdashboard), it pops up a viewer, and after I close it the report gets rendered this way:
Flexdashboard code (two backticks on code chunks instead of 3 for formatting):
---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
---
``{r setup, include=FALSE}
library(reticulate)
#importing required Python libraries/modules
sns <- import('seaborn')
plt <- import('matplotlib.pyplot')
pd <- import('pandas')
``
Column {data-width=650}
-----------------------------------------------------------------------
### Chart A
``{r}
#using R's inbuilt AirPassengers dataset
df <- datasets::AirPassengers
#converting Time-Series object into an R Dataframe
#Thx: https://stackoverflow.com/questions/5331901/transforming-a-time-series-into-a-data-frame-and-back
df1 <- data.frame(tapply(df, list(year = floor(time(df)), month = month.abb[cycle(df)]), c))
df1 <- df1[month.abb]
#building a heatmap using seaborn
#please note the function r_to_py() that converts R object into a python
sns$heatmap(r_to_py(df1), fmt="g", cmap ='viridis')
#display the plot
plt$show()
``
Any thoughts on how to show seaborn plot in flexdashboard here?
CodePudding user response：
Avoid showing the plot, save the seaborn plot to a file and then use Markdown to view it. A bit ugly but it works.
```{r}
#using R's inbuilt AirPassengers dataset
df <- datasets::AirPassengers
#converting Time-Series object into an R Dataframe
#Thx: https://stackoverflow.com/questions/5331901/transforming-a-time-series-into-a-data-frame-and-back
df1 <- data.frame(tapply(df, list(year = floor(time(df)), month = month.abb[cycle(df)]), c))
df1 <- df1[month.abb]
#building a heatmap using seaborn
#please note the function r_to_py() that converts R object into a python
# assign the result of the heatmap to a variable so it doesn't get shown
ss <- sns$heatmap(r_to_py(df1), fmt="g", cmap ='viridis')
#save the plot
plt$savefig('passenger_heatmap.png')
# Avoid the pop up by not showing the plot
#plt$show()
```
