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Dealing with nans #34

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JovanVeljanoski opened this issue Aug 17, 2017 · 1 comment
Closed

Dealing with nans #34

JovanVeljanoski opened this issue Aug 17, 2017 · 1 comment

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@JovanVeljanoski
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Hi,

First of all, thanks for this awesome package. May I ask, can you please add a way of dealing with nans (or missing values) in the dataset, especially if the columns are a numeric type of some sort. This could be dropping columns or rows that have nans, or maybe imputing a user defined values.

Thank you,
J.

@maartenbreddels
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ds.fillna and ds.dropna / ds.select_non_missing are support (still in packages, soon in master)

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