Source code for featuretools.primitives.standard.aggregation.mean

import numpy as np
from woodwork.column_schema import ColumnSchema

from featuretools.primitives.base.aggregation_primitive_base import AggregationPrimitive

[docs]class Mean(AggregationPrimitive): """Computes the average for a list of values. Args: skipna (bool): Determines if to use NA/null values. Defaults to True to skip NA/null. Examples: >>> mean = Mean() >>> mean([1, 2, 3, 4, 5, None]) 3.0 We can also control the way `NaN` values are handled. >>> mean = Mean(skipna=False) >>> mean([1, 2, 3, 4, 5, None]) nan """ name = "mean" input_types = [ColumnSchema(semantic_tags={"numeric"})] return_type = ColumnSchema(semantic_tags={"numeric"}) description_template = "the average of {}"
[docs] def __init__(self, skipna=True): self.skipna = skipna
def get_function(self): if self.skipna: # np.mean of series is functionally nanmean return np.mean def mean(series): return np.mean(series.values) return mean