pandas.DataFrame.dropna¶
- DataFrame.dropna(axis=0, how='any', thresh=None, subset=None)¶
Return object with labels on given axis omitted where alternately any or all of the data are missing
Parameters : axis : {0, 1}, 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
Returns : dropped : DataFrame