New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

consider better handling of pandas dataframes #56

Open

eltonlaw opened this issue Jul 1, 2019 · 1 comment

Owner

eltonlaw commented Jul 1, 2019

Side issue of #54

Needs more research. Maybe have a function to straightforwardly check/parse? Parse out non float columns? Return a pandas dataframe?

Would we need to add Pandas as a dependency?

gkovaig commented Feb 22, 2020

If pandas dataframe passed in, consider:

Returning pandas dataframe.
Reinstate row names and column names of original dataframe passed in.
Process/impute only columns that are float or can be cast as float.
Ensure dataframe that is returned retains same sequence (of rows and columns).

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment