# -*- 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