Reputation:
I am trying to use Python for statistical analysis.
In Stata I can define local macros and expand them as necessary:
program define reg2
syntax varlist(min=1 max=1), indepvars(string) results(string)
if "`results'" == "y" {
reg `varlist' `indepvars'
}
if "`results'" == "n" {
qui reg `varlist' `indepvars'
}
end
sysuse auto, clear
So instead of:
reg2 mpg, indepvars("weight foreign price") results("y")
I could do:
local options , indepvars(weight foreign price) results(y)
reg2 mpg `options'
Or even:
local vars weight foreign price
local options , indepvars(`vars') results(y)
reg2 mpg `options'
Macros in Stata help me write clean scripts, without repeating code.
In Python I tried string interpolation but this does not work in functions.
For example:
def reg2(depvar, indepvars, results):
print(depvar)
print(indepvars)
print(results)
The following runs fine:
reg2('mpg', 'weight foreign price', 'y')
However, both of these fail:
regargs = 'mpg', 'weight foreign price', 'y'
reg2(regargs)
regargs = 'depvar=mpg, covariates=weight foreign price, results=y'
reg2(regargs)
I found a similar question but it doesn't answer my question:
There is also another question about this for R:
However, I could not find anything for Python specifically.
I was wondering if there is anything in Python that is similar to Stata's macros?
Upvotes: 2
Views: 4218
Reputation: 47988
It looks like you just want the *
and **
operators for calling functions:
regargs = 'mpg', 'weight foreign price', 'y'
reg2(*regargs)
Use *
to expand a list or tuple into positional arguments, or use **
to expand a dictionary into keyword arguments to a function that requires them.
For your keyword example, you need to change the declaration a little bit:
regargs = dict(depvar='mpg', covariates='weight foreign price', results='y')
reg2(**regargs)
Upvotes: 1