Closed info-rchitect closed 6 months ago
Hey,
Pandas 1.5 introduced the numeric_only
parameter in many functions
Pandas 2+ changed the default value of numeric_only=False
for most functions, which led to many user-reported errors. To avoid this, we added numeric_only=True
to all the relevant functions, hence the dependency for pandas 1.5.
I'm not in favour of removing it because all these errors would then resurface in individual users.
Thanks Raphael
@raphaelvallat Thanks for taking the time to explain this. We use Dataiku as a primary analytics tool and it is currently limited to pandas
1.35 for Dataiku versions < 12.5.1. Once we convert to that we can use pandas
1.5.
Hi,
Was curious if there was a specific reason to fix pandas > 1.5? The main reason being is many commercial platforms, for example Dataiku, are very slow to upgrade their infrastructure for pandas. Could > 1.3 work?
thx