A SQL wrapper for python.
Project description
SQython
A wrapper for SQL and python.
requirments
- psycopg2
- os
- numpy
- io / StringIO
- pandas
This was made to create an easier access to SQL through python
instalation
pip install sqython
example use cases
# creating a connection to my DB and creating a new database
conn = sq.create_connection("postgres", "postgres", "3301", 'localhost', 5432)
sq.execute_query(conn,create_database('maxtest'))
# after creating we need to connect to our new database
conn = sq.create_connection("maxtest", "postgres", "3301", 'localhost', 5432)
# creating a table based on column names and datatypes to each of their respective columns
sq.execute_query(conn,make_table('testtable',['test1','test2','test3'],['serial','char(50)','char(50)'],'test1'))
# sample DataFrame that we will insert
data = {'test1':[1,2,3],
'test2':['max','luke','aids'],
'test3':['a','B','c']}
data = pd.DataFrame(data)
# pushing the data to DB
sq.execute_many(conn,data,'testtable')
# example of deleting new table
sq.execute_query(conn,delete_table('testtable'))
# if we want to delete the current database we must connect to a different one before deletion
conn = sq.create_connection("postgres", "postgres", "3301", 'localhost', 5432)
sq.execute_query(conn,sq.delete_database('maxtest'))
# example of altering a column name
sq.execute_query(conn,sq.alter_column_name(testtable,'test2','names'))
# example of changing an existing columns datatype
# changing column 'names' to varchar
sq.execute_query(conn,sq.alter_datatype(testtable,'names','VARCHAR'))
# to write your own query!
query = 'select * from table'
sq.execute_query(conn,query)
# Currently working on a more efficient and easy querying method
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