python-dedupe

Dedupe in Python

痴心易碎 提交于 2021-02-04 11:41:34
问题 While going through the examples of the Dedupe library in Python which is used for records deduplication, I found out that it creates a Cluster Id column in the output file, which according to the documentation indicates which records refer to each other. Athough I am not able to find out any relation between the Cluster Id and how is this helping in finding duplicate records. If anyone has an insight into this, please explain this to me. This is the code for deduplication. # This can run

Dedupe in Python

大兔子大兔子 提交于 2021-02-04 11:41:11
问题 While going through the examples of the Dedupe library in Python which is used for records deduplication, I found out that it creates a Cluster Id column in the output file, which according to the documentation indicates which records refer to each other. Athough I am not able to find out any relation between the Cluster Id and how is this helping in finding duplicate records. If anyone has an insight into this, please explain this to me. This is the code for deduplication. # This can run

Values are not inserted into MySQL table using pool.apply_async in python2.7

假如想象 提交于 2020-01-06 06:51:16
问题 I am trying to run the following code to populate a table in parallel for a certain application. First the following function is defined which is supposed to connect to my db and execute the sql command with the values given (to insert into table). def dbWriter(sql, rows) : # load cnf file MYSQL_CNF = os.path.abspath('.') + '/mysql.cnf' conn = MySQLdb.connect(db='dedupe', charset='utf8', read_default_file = MYSQL_CNF) cursor = conn.cursor() cursor.executemany(sql, rows) conn.commit() cursor

Setting explicit rules for matching records using Python Dedupe library

非 Y 不嫁゛ 提交于 2019-12-12 10:03:46
问题 I'm using the Dedupe library to match person records to each other. My data includes name, date of birth, address, phone number and other personally identifying information. Here is my question: I always want to match two records with 100% confidence if they have a matching name and phone number (for example). Here is an example of some of my code: fields = [ {'field' : 'LAST_NM', 'variable name' : 'last_nm', 'type': 'String'}, {'field' : 'FRST_NM', 'variable name' : 'frst_nm', 'type':