Source code for nlp_primitives.upper_case_count

# -*- coding: utf-8 -*-
import numpy as np
from featuretools.primitives.base import TransformPrimitive
from woodwork.column_schema import ColumnSchema
from woodwork.logical_types import Double, NaturalLanguage


[docs]class UpperCaseCount(TransformPrimitive): """Calculates the number of upper case letters in text. Description: Given a list of strings, determine the number of characters in each string that are capitalized. Counts every letter individually, not just every word that contains capitalized letters. If a string is missing, return `NaN` Examples: >>> x = ['This IS a string.', 'This is a string', 'aaa'] >>> upper_case_count = UpperCaseCount() >>> upper_case_count(x).tolist() [3.0, 1.0, 0.0] """ name = "upper_case_count" input_types = [ColumnSchema(logical_type=NaturalLanguage)] return_type = ColumnSchema(logical_type=Double, semantic_tags={"numeric"}) default_value = 0 def get_function(self): pattern = r"([A-Z])" def upper_case_count(x): x = x.reset_index(drop=True) counts = x.str.extractall(pattern).groupby(level=0).count()[0] counts = counts.reindex_like(x).fillna(0) counts[x.isnull()] = np.nan return counts.astype(float) return upper_case_count