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

import numpy as np
from dask import dataframe as dd
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Boolean, BooleanNullable, IntegerNullable

from featuretools.primitives.base.aggregation_primitive_base import AggregationPrimitive
from featuretools.utils.gen_utils import Library

[docs]class NumTrue(AggregationPrimitive): """Counts the number of `True` values. Description: Given a list of booleans, return the number of `True` values. Ignores 'NaN'. Examples: >>> num_true = NumTrue() >>> num_true([True, False, True, True, None]) 3 """ name = "num_true" input_types = [ [ColumnSchema(logical_type=Boolean)], [ColumnSchema(logical_type=BooleanNullable)], ] return_type = ColumnSchema(logical_type=IntegerNullable, semantic_tags={"numeric"}) default_value = 0 stack_on = [] stack_on_exclude = [] compatibility = [Library.PANDAS, Library.DASK] description_template = "the number of times {} is true" def get_function(self, agg_type=Library.PANDAS): if agg_type == Library.DASK: def chunk(s): chunk_sum = s.agg(np.sum) if chunk_sum.dtype == "bool": chunk_sum = chunk_sum.astype("int64") return chunk_sum def agg(s): return s.agg(np.sum) return dd.Aggregation(, chunk=chunk, agg=agg) return np.sum