How to avail "Forecasting: Methods and Application" dataset in Python?-CodePudding

I am using the book Forecasting: Methods and Applications by Makridakis, Wheelwright and Hyndman. I want to do the exercises along the way, but in Python, not R (as suggested in the book).

I do not know how to use R. I know that the datasets can be availed from an R package - fma. This is the link to the package.

Is there a possible script, in R or Python, which will allow me to download the datasets as .csv files? That way, I will be able to access them using Python.

CodePudding user response：

one possibility:

## install and load package:
install.packages('fma')
library('fma')

## list example data of package fma:
data(package = 'fma')

## export single data as csv:
write.csv(cement, file = 'cement.csv')

## bulk export:
## data names are in `[,3]`rd column of list member "results"
## of `data(...)` output
for (data_name in data(package = 'fma')[['results']][,3]){
    write.csv(get(data_name), file = paste0(data_name, '.csv'))
}