http://ganwellresource.blogspot.ch/2013/04/pandas-problems-reading-ldap-and.html

1namespace.py

ldapdb = collections.namedtuple("namespace", ['person', 'group', 'share', 'maillist'])
ldapdb.person = ldap_to_pandas(ldap.search(filter="(&(objectClass=univentionPerson))", base=common.ucs_access.base_dn()))
ldapdb.group = ldap_to_pandas(ldap.search(filter="(&(objectClass=univentionGroup))", base=common.ucs_access.base_dn()))
ldapdb.share = ldap_to_pandas(ldap.search(filter="(&(objectClass=univentionShare))", base=common.ucs_access.base_dn()))
ldapdb.maillist = ldap_to_pandas(ldap.search(filter="(&(objectClass=univentionMailList))", base=common.ucs_access.base_dn()))

2ldap_to_pandas.py

def ldap_to_pandas(search):
    def to_hash(record):
        dictlist = []
        for k, v in record[1].iteritems():
            try:
                if len(v) == 1:
                    dictlist.append((k, v[0].decode('utf-8')))
                    continue
            except:
                pass
            dictlist.append((k, v))
        dictlist.append(('dn', record[0]))
        return dict(dictlist)
    return pandas.DataFrame([to_hash(x) for x in search])