[docs]classSkew(AggregationPrimitive):"""Computes the extent to which a distribution differs from a normal distribution. Description: For normally distributed data, the skewness should be about 0. A skewness value > 0 means that there is more weight in the left tail of the distribution. Examples: >>> skew = Skew() >>> skew([1, 10, 30, None]) 1.0437603722639681 """name="skew"input_types=[ColumnSchema(semantic_tags={"numeric"})]return_type=ColumnSchema(semantic_tags={"numeric"})stack_on=[]stack_on_self=Falsedescription_template="the skewness of {}"defget_function(self):returnpd.Series.skew