Feature Request: pd.DataFrame drop method to include function support

[jolespin]

I think it would be useful if the pd.DataFrame's drop method could support a lambda or function that one can use as a filter such as below:
Also, on a side note I noticed that masking requires an extra step in the newest pandas in that it requires the mask to be converted to an array and then to a boolean. Not sure if that warrants an issue in itself but just wanted to mention that. It is also shown below:

[gfyoung]

Also, on a side note I noticed that masking requires an extra step in the newest pandas in that it requires the mask to be converted to an array and then to a boolean. Not sure if that warrants an issue in itself but just wanted to mention that.

@jolespin : Separate out into another issue, as it will be easier for us to organize.

[gfyoung]

Regarding your request for a lambda filter on drop, that seems reasonable given that we support this functionality for other functions like read_csv. Feel to implement and submit as a PR!

[jolespin]

Working on it now! How can I test the code to see if it works? I need to add a few things.

https://github.com/jolespin/pandas/edit/master/pandas/core/generic.py

[gfyoung]

@jolespin : Install your branch and then run whatever code you used in this issue. The following section on our website here might be useful for instructions:

https://pandas.pydata.org/pandas-docs/stable/contributing.html

[mroeschke]

Appears there hasn't been much activity or community support for this feature in a while so closing. Happy to reopen if there's renewed support