I have some data sets that are in a weird format and have written some python scripts to convert to csv format to use in R. Is it possible to call the python scripts in an R shiny app?
You can: Run Python Scripts in the RStudio IDE. Use R and Python in a single project with the reticulate Package. Use your Python editor of choice within RStudio tools.
Shiny is a powerful R package which allows you to create interactive web applications using the R programming language. It is particularly useful for creating applications that run on data and include some sort of data analysis or visualization.
What is Shiny (R)? Shiny is an R package that enables building interactive web applications that can execute R code on the backend. With Shiny, you can host standalone applications on a webpage, embed interactive charts in R Markdown documents, or build dashboards.
Along with Shiny elements, you can use HTML elements to stylize your content in your application. In my opinion, R Shiny is very easy to learn despite how powerful the tool is. If you're working on a side project or looking to add something to your portfolio, I highly recommend trying it out.
I know the topic is close but now you can make shinyApp with python using reticulate
.
This is a minimalist example.
library(reticulate)
library(shiny)
ui <- fluidPage(
plotOutput(outputId = "plot01")
)
server <- function(input, output){
# Import module
plt <- import("matplotlib.pyplot")
output$plot01 <- renderPlot({
plt$plot(1:10)
plt$show()
})
}
shinyApp(ui, server)
Here is a minimal Shiny app that makes use of rPython
to execute python calls.
library(shiny)
library(rPython)
ui = bootstrapPage(
sliderInput('x', 'Set x', 0, 10, 5),
verbatimTextOutput('out1')
)
server = function(input, output, session){
output$out1 <- renderPrint({
python.call("len", 1:input$x)
})
}
runApp(list(ui = ui, server = server))
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