Is there a way to incorporate Python functions from an external module/library in a function you're writing/defining, without importing them globally or beyond of the function scope?
For example, in R you can do package::function:
myfxn <- function(x){ # R example
dplyr::as_tibble(x)
}
I'd like to do something similar in Python, but as far as I can tell, people usually just import the modules/elements of modules at the top of the file (for speed, succinctness, comprehensiveness, etc.) I know you can technically do something like this:
Example of what I know you can do in Python (but isn't what I'm looking for):
def myfxn(x): # Python
from pandas import DataFrame
return(DataFrame(x))
...But what I'd really like is a way to use a function like the pandas DataFrame one without having to globally import it. I wish there was something like...
def myfxn(x): # Python
return(pandas.DataFrame(x))
Where I wouldn't have to actually import anything. Is there any way of doing what I'm referencing? If not, is there an argument (except for a tiny amount of processing speed) about why there shouldn't be?
