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Author mark.dickinson
Recipients dcasmr, maheshwark97, mark.dickinson, steven.daprano
Date 2018-03-16.08:43:08
SpamBayes Score -1.0
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Message-id <1521189788.6.0.467229070634.issue33084@psf.upfronthosting.co.za>
In-reply-to
Content 
> Will just removing all np.nan values do the job?

Unfortunately, I don't think it's that simple. You want consistency across the various library calls, so if the various `median` functions are changed to treat NaNs as missing data, then the other functions should be, too.
History
Date User Action Args
2018-03-16 08:43:08mark.dickinsonsetrecipients: + mark.dickinson, steven.daprano, maheshwark97, dcasmr
2018-03-16 08:43:08mark.dickinsonsetmessageid: <1521189788.6.0.467229070634.issue33084@psf.upfronthosting.co.za>
2018-03-16 08:43:08mark.dickinsonlinkissue33084 messages
2018-03-16 08:43:08mark.dickinsoncreate