merge on index pandas
pd.merge(df1, df2, left_index=True, right_index=True)merge on index pandas
pd.merge(df1, df2, left_index=True, right_index=True)pd merge on multiple columns
new_df = pd.merge(A_df, B_df, how='left', left_on=['A_c1','c2'], right_on = ['B_c1','c2'])merge pandas
create table bricks (
brick_id integer,
colour varchar2(10)
);
create table colours (
colour_name varchar2(10),
minimum_bricks_needed integer
);
insert into colours values ( 'blue', 2 );
insert into colours values ( 'green', 3 );
insert into colours values ( 'red', 2 );
insert into colours values ( 'orange', 1);
insert into colours values ( 'yellow', 1 );
insert into colours values ( 'purple', 1 );
insert into bricks values ( 1, 'blue' );
insert into bricks values ( 2, 'blue' );
insert into bricks values ( 3, 'blue' );
insert into bricks values ( 4, 'green' );
insert into bricks values ( 5, 'green' );
insert into bricks values ( 6, 'red' );
insert into bricks values ( 7, 'red' );
insert into bricks values ( 8, 'red' );
insert into bricks values ( 9, null );
commit;merge pandas
select * from bricks, colours;merge pandas
select * from bricks;
select * from colours;Copyright © 2021 Codeinu
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