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

import numpy as np
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import IntegerNullable

from featuretools.primitives.base.aggregation_primitive_base import AggregationPrimitive

[docs]class CountOutsideRange(AggregationPrimitive): """Determines the number of values that fall outside a certain range. Args: lower (float): Lower boundary of range (exclusive). Default is 0. upper (float): Upper boundary of range (exclusive). Default is 1. skipna (bool): Determines if to use NA/null values. Defaults to True to skip NA/null. Examples: >>> count_outside_range = CountOutsideRange(lower=1.5, upper=3.6) >>> count_outside_range([1, 2, 3, 4, 5]) 3 The way NaNs are treated can be controlled. >>> count_outside_range_skipna = CountOutsideRange(skipna=False) >>> count_outside_range_skipna([1, 2, 3, 4, 5, None]) nan """ name = "count_outside_range" input_types = [ColumnSchema(semantic_tags={"numeric"})] return_type = ColumnSchema(logical_type=IntegerNullable, semantic_tags={"numeric"}) stack_on_self = False default_value = 0
[docs] def __init__(self, lower=0, upper=1, skipna=True): self.lower = lower self.upper = upper self.skipna = skipna
def get_function(self): def count_outside_range(x): if not self.skipna and x.isnull().values.any(): return np.nan cond = (x < self.lower) | (x > self.upper) return cond.sum() return count_outside_range