DataFrame.dropna(axis=0, how='any', thresh=None, subset=None, inplace=False)[source]

Return object with labels on given axis omitted where alternately any or all of the data are missing


axis : {0 or ‘index’, 1 or ‘columns’}, or tuple/list thereof

Pass tuple or list to drop on multiple axes

how : {‘any’, ‘all’}

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

thresh : int, default None

int value : require that many non-NA values

subset : array-like

Labels along other axis to consider, e.g. if you are dropping rows these would be a list of columns to include

inplace : boolean, default False

If True, do operation inplace and return None.


dropped : DataFrame

Scroll To Top