4. 
Patricia Pieritz (Patricia A Pieritz) ♀
6. Paul PIERITZ
7. Paul Pieritz
8. PAUL PIERITZ
10. Pierit Pieritz
11. Pieritz Pieritz
12. Pieritz PIERITZ
13. PIERITZ PIERITZ
18. REINER PIERITZ
21. REINHARD PIERITZ
22. REINHARD PIERITZ
23. REINHARD PIERITZ
27. Richard Pieritz (Richard R Pieritz) ♂
28. Richard Pieritz (Richard L Pieritz) ♂
30. RICHARD PIERITZ
31. RICHARD PIERITZ
32. RICHARD PIERITZ
33. RICHARD PIERITZ
34. RICHARD PIERITZ
35. RICHARD PIERITZ
36. RITA PIERITZ
37. ROBERT PIERITZ
38. ROGERIO PIERITZ
import pandas as pd import numpy as np import matplotlib.pyplot as plt from fuzzywuzzy import fuzz pd.set_option(`max_columns`, 50) import pyodbc from pandas.io import sql cols=[`ISSUER_NAME`,`CPTY_NAME`,`SIMILARITY_1`,`SIMILARITY_2`,`FLAG`] data = [] sql_conn=pyodbc.connect(`DRIVER={ODBC Driver 11 for SQL Server}; SERVER=RADO-THINKPAD; DATABASE=IVAN; Trusted_Connection=yes`) query = SELECT * FROM dbo.issuer TABLE = pd.read_sql(query, sql_conn) final = fuzz.token_set_ratio(s1, s2) for s1, s2 in TABLE.itertuples(index=False): final = fuzz.token_set_ratio(s1, s2) final1 = fuzz.partial_ratio(s1, s2) if final>50 and final1>50: flag=`YES` else: flag=`NO` data.append((s1, s2, final, final1, flag)) result = pd.DataFrame(data, columns=cols) result.to_csv(file_name, sep=`,`) 
©
©39. RUDI PIERITZ
42. SABRINA PIERITZ
43. Scott Pieritz (Scott S Pieritz) ♂
44. SHIRLEE PIERITZ ♐
47. STEVEN PIERITZ
48. SUSAN PIERITZ
50. SVEN-EIKE PIERITZ
53. SYLVIA PIERITZ
56. Teresa Pieritz ♀
57. TERESA A PIERITZ
58. TERESA A. PIERITZ
59. Terry Pieritz ♂