I am new to using the Jupyter notebook with R kernel.
I have R code written in two files Settings.ipynb
and Main_data.ipynb
.
My Settings.ipynb
file has a lot of details. I am showing sample details below
Schema = "dist"
resultsSchema = "results"
sourceName = "hos"
dbms = "postgresql" #Should be "sql server", "oracle", "postgresql" or "redshift"
user <- "hos"
pw <- "hos"
server <- "localhost/hos"
port <- "9763"
I would like to source Settings
file in Main_data
code file.
When I was using R studio
, it was easy as I just use the below
source('Settings.R')
But now in Main_data
Jupyter Notebook with R kernel, when I write the below piece of code
source('Settings.R') # settings file is in same directory as main_data file
I get the below error
Error in source("Settings.R"): Settings.R:2:11: unexpected '['
1: {
2: "cells": [
^
Traceback:
1. source("Settings.R")
When I try the below, I get another error as shown below
source('Settings.ipynb')
Error in source("Settings.ipynb"): Settings.ipynb:2:11: unexpected '['
1: {
2: "cells": [
^
Traceback:
1. source("Settings.ipynb")
How can I source an R code
and what is the right way to save it (.ipynb
or .R
format in a jupyter notebook (which uses R kernel)). Can you help me with this please?
updated screenshot
We could create a
.INI
file in the same working directory (or different) and useConfigParser
to parse all the elements. The.INI
file would beSettings.INI
Then, we initialize a parser object, read the contents from the file. We could have multiple subheadings (here it is only 'settings-info') and extract the components using either
[[
or$
From the Jupyter notebook
the 'Settings.INI' file