pandasql

Python Pandas to_sql, how to create a table with a primary key?

由 删除回忆录丶 提交于 2019-11-27 20:07:18
I would like to create a MySQL table with Pandas' to_sql function which has a primary key (it is usually kind of good to have a primary key in a mysql table) as so: group_export.to_sql(con = db, name = config.table_group_export, if_exists = 'replace', flavor = 'mysql', index = False) but this creates a table without any primary key, (or even without any index). The documentation mentions the parameter 'index_label' which combined with the 'index' parameter could be used to create an index but doesn't mention any option for primary keys. Documentation Disclaimer: this answer is more

Merging DataFrames on multiple conditions - not specifically on equal values

由 人走茶凉 提交于 2019-11-27 18:19:51
问题 Firstly, sorry if this is a bit lengthy, but I wanted to fully describe what I have having problems with and what I have tried already. I am trying to join (merge) together two dataframe objects on multiple conditions. I know how to do this if the conditions to be met are all 'equals' operators, however, I need to make use of LESS THAN and MORE THAN. The dataframes represent genetic information: one is a list of mutations in the genome (referred to as SNPs) and the other provides information

Python Pandas to_sql, how to create a table with a primary key?

由 ε祈祈猫儿з 提交于 2019-11-26 17:43:14
问题 I would like to create a MySQL table with Pandas' to_sql function which has a primary key (it is usually kind of good to have a primary key in a mysql table) as so: group_export.to_sql(con = db, name = config.table_group_export, if_exists = 'replace', flavor = 'mysql', index = False) but this creates a table without any primary key, (or even without any index). The documentation mentions the parameter 'index_label' which combined with the 'index' parameter could be used to create an index but
订阅 pandasql