Dataset.dropna(dim, how='any', thresh=None, subset=None)[source]#

Returns a new dataset with dropped labels for missing values along the provided dimension.

  • dim (hashable) – Dimension along which to drop missing values. Dropping along multiple dimensions simultaneously is not yet supported.

  • how ({"any", "all"}, default: "any") –

    • any : if any NA values are present, drop that label

    • all : if all values are NA, drop that label

  • thresh (int or None, optional) – If supplied, require this many non-NA values (summed over all the subset variables).

  • subset (iterable of hashable or None, optional) – Which variables to check for missing values. By default, all variables in the dataset are checked.