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Library for dividing entities into groups based on numeric or text value.

Project description

pygrouplib

Library for dividing entities into groups based on numeric or text value

Quick start

from pygrouplib import NumericGrouper, TextGrouper

# Example data list
employees = []
employees.append({'name':'John','title':'Cardiologist','age':46})
employees.append({'name':'Ryan','title':'Cardiology','age':34})
employees.append({'name':'Kate','title':'Child Cardiologist', 'age':56})
employees.append({'name':'Anna','title':'Neurology', 'age':33})
employees.append({'name':'Mike','title':'Neurologist', 'age':38})

# Group by title, ignoring "Child" and allowing 1 different character for each 5 characters in title.
tg = TextGrouper()
groups = tg.group(employees, key=lambda x:x['title'], chars_per_error=5, ignore_list=['Child'])
print(*groups, sep='\n')

''' 
[{'name': 'John', 'title': 'Cardiologist', 'age': 46}, {'name': 'Ryan', 'title': 'Cardiology', 'age': 34}, {'name': 'Kate', 'title': 'Child Cardiologist', 'age': 56}]
[{'name': 'Mike', 'title': 'Neurologist', 'age': 38}, {'name': 'Anna', 'title': 'Neurology', 'age': 33}]
'''

# Group by age into 3 subgroups
ng = NumericGrouper()
groups = ng.group(employees, key=lambda x:x['age'], groups=3)
print(*groups, sep="\n")

'''
[{'name': 'Anna', 'title': 'Neurology', 'age': 33}, {'name': 'Ryan', 'title': 'Cardiology', 'age': 34}, {'name': 'Mike', 'title': 'Neurologist', 'age': 38}]
[{'name': 'John', 'title': 'Cardiologist', 'age': 46}]
[{'name': 'Kate', 'title': 'Child Cardiologist', 'age': 56}]
'''

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