I have several LDIF files that look like this: changetype: add objectClass: inetOrgPerson uid: jdoe cn: John Doe sn: Doe mail: jdoe@example.com dn: uid=asmith,ou=People,dc=example,dc=com changetype: add objectClass: inetOrgPerson uid: asmith cn: Alice Smith sn: Smith mail: asmith@example.com In R I would normally use the unnest() function to normalize the data in an LDIF file and convert it into tabular format: dn changetype objectClass uid cn sn mail uid=jdoe,ou=People,dc=example,dc=com add inetOrgPerson jdoe John Doe Doe jdoe@example.com uid=asmith,ou=People,dc=example,dc=com add inetOrgPerson asmith Alice Smith Smith asmith@example.com How do achieve this using Python Polars? Is there a way to do it Continue reading...
