Thanks, understood. I wanted to be able to use symbols like "variables"
and, at some point, allow transformations via SymPy. As a terrible example:
z = x * log(y)
smart_func(df, z)
print(df[z])
That's not terribly important, however, mostly just convenience.
I submitted an issue here, maybe it
Symbol objects being callable is something that we've wanted to remove
for some time, but I don't know if it will happen any time soon.
https://github.com/sympy/sympy/issues/3539
I don't know of any simple workarounds. My first thought was to use a
subclass, but I can't figure out how to make a
Hi, I ran into problems while trying to use Symbols as columns for a
pandas.DataFrame *.
This is probably not relevant to SymPy development itself, but rather just
use.
This seems to be a problem with both frameworks treating callable() objects
specially:
>>> import pandas as pd
>>> from
