anti-join

How to perform an anti-join, or left outer join, (get all the rows in a dataset which are not in another based on multiple keys) in pandas

别等时光非礼了梦想. 提交于 2019-12-22 01:29:33
问题 I have two datasets: df1 = pd.DataFrame(data = {'label1': ['A', 'A', 'B', 'C'], 'label2': ['a', 'b', 'c', 'd'], 'value': [1,2,3,4]}) df2 = pd.DataFrame(data = {'label1': ['A', 'A', 'D', 'E'], 'label'2': ['a', 'd', 'c','e'], 'value2': [10,12,23,14]}) I would like to perform an anti-join so that the resulting data frame contains the rows of df1 where the key [['label1', 'label2']] is not found in df2. The resulting df should be: label1 label2 value A b 2 B c 3 C d 4 In R using dplyr, the code

How to stop anti_join from reversing sort order in R?

喜夏-厌秋 提交于 2019-12-11 01:38:48
问题 I have two sets of names that are ordered A-Z. I'm using anti_join to filter out whatever is present in the 2nd set. Example: library(dplyr) t1 <- data.frame(Name = state.name, Abbr = state.abb) t2 <- data.frame(Abbr = state.abb[50]) t3 <- anti_join(t1, t2, by = "Abbr") The result is in reverse sort order. I tried adding ascending/descending=TRUE but nothing. Is there a way to keep the sort order intact, without adding another line, that I am missing? 来源: https://stackoverflow.com/questions

Anti-Join Pandas

喜你入骨 提交于 2019-11-30 08:03:28
I have two tables and I would like to append them so that only all the data in table A is retained and data from table B is only added if its key is unique (Key values are unique in table A and B however in some cases a Key will occur in both table A and B). I think the way to do this will involve some sort of filtering join (anti-join) to get values in table B that do not occur in table A then append the two tables. I am familiar with R and this is the code I would use to do this in R. library("dplyr") ## Filtering join to remove values already in "TableA" from "TableB" FilteredTableB <- anti

How do I find records that are not joined?

纵饮孤独 提交于 2019-11-30 02:41:00
I have two tables that are joined together. A has many B Normally you would do: select * from a,b where b.a_id = a.id To get all of the records from a that has a record in b. How do I get just the records in a that does not have anything in b? select * from a where id not in (select a_id from b) Or like some other people on this thread says: select a.* from a left outer join b on a.id = b.a_id where b.a_id is null select * from a left outer join b on a.id = b.a_id where b.a_id is null Another approach: select * from a where not exists (select * from b where b.a_id = a.id) The "exists" approach

Checking whether an item does not exist in another table

|▌冷眼眸甩不掉的悲伤 提交于 2019-11-29 01:05:01
My tables are set up something like this: table name: process fields: name, id_string table name: value_seach fields: id_string, value I want to construct a select statement that will display all of the process names (with it's respective id_string) that do not have an entry in value_search. The id_string in the process table can be null , and still have a name, but those need to be excluded if possible. The id_string in value_search can never be null How do I do this? In general if you want rows that don't exist in another table, then LEFT JOIN the other table and WHERE ... IS NULL to a

How do I find records that are not joined?

我的未来我决定 提交于 2019-11-28 23:34:48
问题 I have two tables that are joined together. A has many B Normally you would do: select * from a,b where b.a_id = a.id To get all of the records from a that has a record in b. How do I get just the records in a that does not have anything in b? 回答1: select * from a where id not in (select a_id from b) Or like some other people on this thread says: select a.* from a left outer join b on a.id = b.a_id where b.a_id is null 回答2: select * from a left outer join b on a.id = b.a_id where b.a_id is

Anti-Join Pandas

南笙酒味 提交于 2019-11-27 15:37:03
问题 I have two tables and I would like to append them so that only all the data in table A is retained and data from table B is only added if its key is unique (Key values are unique in table A and B however in some cases a Key will occur in both table A and B). I think the way to do this will involve some sort of filtering join (anti-join) to get values in table B that do not occur in table A then append the two tables. I am familiar with R and this is the code I would use to do this in R.

Checking whether an item does not exist in another table

喜欢而已 提交于 2019-11-27 15:36:43
问题 My tables are set up something like this: table name: process fields: name, id_string table name: value_seach fields: id_string, value I want to construct a select statement that will display all of the process names (with it's respective id_string) that do not have an entry in value_search. The id_string in the process table can be null , and still have a name, but those need to be excluded if possible. The id_string in value_search can never be null How do I do this? 回答1: In general if you

How to find non-existing data from another Table by JOIN?

久未见 提交于 2019-11-26 21:03:26
I have two tables TABLE1 which looks like: id name address 1 mm 123 2 nn 143 and TABLE2 w/c looks like: name age mm 6 oo 9 I want to get the non existing names by comparing the TABLE1 with the TABLE2 . So basically, I have to get the 2nd row, w/c has a NN name that doesn't exist in the TABLE2 , the output should look like this: id name address 2 nn 143 I've tried this but it doesn't work: SELECt w.* FROM TABLE1 W INNER JOIN TABLE2 V ON W.NAME <> V.NAME and it's still getting the existing records. An INNER JOIN doesn't help here. One way to solve this is by using a LEFT JOIN : SELECT w.* FROM

How to find non-existing data from another Table by JOIN?

瘦欲@ 提交于 2019-11-26 07:49:13
问题 I have two tables TABLE1 which looks like: id name address 1 mm 123 2 nn 143 and TABLE2 w/c looks like: name age mm 6 oo 9 I want to get the non existing names by comparing the TABLE1 with the TABLE2 . So basically, I have to get the 2nd row, w/c has a NN name that doesn\'t exist in the TABLE2 , the output should look like this: id name address 2 nn 143 I\'ve tried this but it doesn\'t work: SELECt w.* FROM TABLE1 W INNER JOIN TABLE2 V ON W.NAME <> V.NAME and it\'s still getting the existing