SQL For Pandas

The library can take any pandas dataframe and you should be able to run SQL on top of dataframe then. pandas already provides a nice way of working with dataset. sqlpandas is an initiative to bring pandas to SQL folks too.

Support for file formats -

• CSV
• JSON
• Other files must first be read using pandas and then should be added to sqlpandas instance

Examples -

1. Example for adding dataset to sql object

import pandas as pd
from sqlpandas.parser import PandasSql
sql = PandasSql()
df1 = pd.read_csv("C:\\Users\\puneet\\PycharmProjects\\sqlpandas\\sample_files\\test.txt")
sql.add_df(df1)
dta = sql.sql("select * from df where b > 3 order by d")

2. Examaple for reading CSV and then querying

import pandas as pd
from sqlpandas.parser import PandasSql
sql = PandasSql()
sql.read_file("C:\\Users\\puneet\\PycharmProjects\\sqlpandas\\sample_files\\test.txt")
dta = sql.sql("select * from df where b > 3 order by d")

For any questions or if you want to contribute contact

Puneet Tripathi

Email: puneet.tripathim@gmail.com

LinkedIn: https://www.linkedin.com/in/puneet-tripathi/