Export a list of object of all the indices for use in Python

[andrew-edwards]

Quite a few requests for this, and it might well be fairly simple. Can then just push the file to GitHub and Python users can download it.

From https://stackoverflow.com/questions/56681202/how-to-save-a-list-as-a-file-in-r-in-order-to-read-it-in-python :

---

This is pretty much what JSON is for. Do the following in R, where l is your list:

library(jsonlite)
write_json(l, "test.json")

And then do this in Python:

import json
with open("test.json") as f:
    l = json.load(f)

---

@schckngs - this should work, yes?

• Andy do this in data-raw/coastwide-indices/coastwide-indices.R
• Andrea can then test the file in Python (please!)
• Push file and add a pacea for Python users note to README

[schckngs]

Happy to help test this!
Is a reason a .json would be better than a .csv file?
For the smaller files (e.g. indices) it would be great to have an easily readable format for beginner / non-programmers as well (e.g. someone can download a .csv and open in excel or easily preview the data without needing a special .json viewer)

[schckngs]

Similarly, if you want to keep your focus on R, we could always put together some examples using the 'pyreadr' or other package to help people help themselves :) https://stackoverflow.com/questions/40996175/loading-a-rds-file-in-pandas