Feature Request: regex for drop

Don’t have time to implement this, but I wanted to float the idea and park it. It’s pretty trivial and you can achieve the same thing with filter, but it might be nice if drop had a regex keyword. E.g., these would be equivalent

df = df.filter(regex="^(?!var_start)")
df = df.drop(regex="^var_start", axis=1)

[WillAyd]

@tik0 you can use a regex to do that. Something like:

df.filter(regex=r'^(?!enc_)')

@jreback this is a pretty old issue but I think it’s duplicative of what’s available already in filter. Any reason to keep this one open?

[MarcoGorelli]

closing as there hasn’t been any uptake here (and I agree with the assessment that df.filter(regex=r'^(?!enc_)') is simple enough), though please do ping if you have use-case where that isn’t practical