sql-like

Is there a way to do something similar to SQL's LIKE syntax on a pandas text DataFrame column, such that it returns a list of indices, or a list of booleans that can be used for indexing the dataframe? For example, I would like to be able to match all rows where the column starts with 'prefix_', similar to WHERE <col> LIKE prefix_% in SQL. You can use the Series method str.startswith (which takes a regex): In [11]: s = pd.Series(['aa', 'ab', 'ca', np.nan]) In [12]: s.str.startswith('a', na=False) Out[12]: 0 True 1 True 2 False 3 False dtype: bool You can also do the same with str.contains

I have this Tags table CREATE TABLE IF NOT EXISTS `Tags` ( `id_tag` int(10) unsigned NOT NULL auto_increment, `tag` varchar(255) default NULL, PRIMARY KEY (`id_tag`), UNIQUE KEY `tag` (`tag`), KEY `id_tag` (`id_tag`), KEY `tag_2` (`tag`), KEY `tag_3` (`tag`), KEY `tag_4` (`tag`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=2937 ; INSERT INTO `Tags` (`id_tag`, `tag`) VALUES (1816, '(class'), (2642, 'class\r\n\r\nâ?¬35'), (1906, 'class\r\nif'), (1398, 'class'), (2436, 'class)'), (1973, 'class:\n1.'), (2791, 'classes'), (1325, 'New'), (2185, 'pack'), (1905, 'packed'), (1389, 'WebClass');

I have the following code within a stored procedure. WHERE WPP.ACCEPTED = 1 AND WPI.EMAIL LIKE '%@MATH.UCLA.EDU%' AND (WPP.SPEAKER = 0 OR WPP.SPEAKER IS NULL) AND WPP.COMMENT NOT LIKE '%CORE%' AND WPP.PROGRAMCODE = 'cmaws3' The NOT LIKE statement is not working, and yes before anyone says anything there are items with the COMMENT column that does not include CORE and all the other columns are ok. Does anyone know what is wrong with this? If WPP.COMMENT contains NULL , the condition will not match. This query: SELECT 1 WHERE NULL NOT LIKE '%test%' will return nothing. On a NULL column, both

I have a table with 200 records out of which 10 records has text containing the word 'TAX'. When I'm executing Select * from tbl1 WHERE [TextCol] LIKE '%TAX%' then I get the result set with those 10 records correctly . But when I am trying to exclude those records by Select * from tbl1 WHERE [TextCol] NOT LIKE '%TAX%' it's returning 100 records only, instead of 190. Does this return the correct result ? Select * from tbl1 WHERE COALESCE([TextCol],'-1') NOT LIKE '%TAX%' I believe NULL values are the issue here, if the column contains them, then NULL NOT LIKE '%TAX%' will return UNKNOWN/NULL and

What would be the right way to write a Hive query with multiple LIKE operators like this: SELECT * FROM some_table WHERE some_col LIKE '%abc%' OR some_col LIKE '%xyz%' OR some_col LIKE '%pqr%' OR ... (some more LIKE statements) I tried doing the above as well as WHERE some_col LIKE '%abc|pqr|xyz%' but they didn't return any results. It works fine if I write separate queries, i.e. WHERE some_col LIKE '%abc%' -> returns results and WHERE some_col LIKE '%pqr%' -> also returns results From the docs: A RLIKE B NULL if A or B is NULL, TRUE if any (possibly empty) substring of A matches the Java