sqlDataframe

SQL To Pandas is a tool you can use to connect with your database, somme of the basic Functionalities are:

• Can convert your database table into pandas dataframe
• You can insert a pandas dataframe as a new table into your database

Usage pattern is different for both linux and windows.

Linux

Quickstart

Installing dependencies first:

$ import pandas as pd
$ from sqlDataframe import sqlCred, read_sql, to_sql

Establishing connection and importing data from mssql server into Pandas dataframe:

$ creds = sqlCred(database='database_name', username='username', password='pass', OS='Linux')
$ dataframe = read_sql(creds,'table_name')

Establishing connection and importing data Pandas dataframe into mssql server:

$ creds = to_sql(database='database_name', username='username', password='pass', OS='Linux')
$ to_sql(creds, dataframe, 'table_name')

Once connection is establised, you can use creds for both read_sql and to_sql.

Windows

Quickstart

Installing dependencies first:

$ import pandas as pd
$ from sqltopandas import sqlCred, to_sql, read_sql

Establishing connection and importing data from mssql server into Pandas dataframe:

$ creds = sqlCred('database='database_name', server='server_name', OS='Windows')
$ dataframe = read_sql(creds,'table_name')

Establishing connection and importing data Pandas dataframe into mssql server:

$ creds = sqlCred('database='database_name', server='server_name', OS='Windows')
$ to_sql(creds, dataframe, 'table_name')

Once connection is establised, you can use creds for both read_sql and to_sql. Note: This is only accessible using Microsoft Sql Server windows authentication.

Upcommings

Its a start of our journey and every journey begins with some simple steps. So we have enlisted some more features to be the part of sqltopandas in future updates.

• Integration with multiple database platforms
• Load specific data into dataframe from databasse by using custom queries
• Server name will automatically be fetched from the system (Windows only)
• Will provide access through sql server authentication (windows only)

Limitations

Yes we do have some limitations and we are working over it:

• Support with sql server authentication is not available right now (windows only)
• Only SELECT and INSERT querrying is working at the backend.
• User's custom queries will be entetained.
• Sql server instance name have to be provided as a parameter to build connection, in future we will fetch it by ourself.