Return Pandas dataframe from PostgreSQL query with sqlalchemy

You are bitten by the case (in)sensitivity issues with PostgreSQL. If you quote the table name in the query, it will work:

df = pd.read_sql_query('select * from "Stat_Table"',con=engine)

But personally, I would advise to just always use lower case table names (and column names), also when writing the table to the database to prevent such issues.

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From the PostgreSQL docs (http://www.postgresql.org/docs/8.0/static/sql-syntax.html#SQL-SYNTAX-IDENTIFIERS):

Quoting an identifier also makes it case-sensitive, whereas unquoted names are always folded to lower case

To explain a bit more: you have written a table with the name Stat_Table to the database (and sqlalchemy will quote this name, so it will be written as "Stat_Table" in the postgres database). When doing the query 'select * from Stat_Table' the unquoted table name will be converted to lower case stat_table, and so you get the message that this table is not found.

See eg also Are PostgreSQL column names case-sensitive?

Read postgres sql data in pandas in given below and image link

import psycopg2 as pg
import pandas.io.sql as psql
connection = pg.connect("host=localhost dbname=kinder user=your_username password=your_password")
dataframe = psql.read_sql('SELECT * FROM product_product', connection)
product_category = psql.read_sql_query('select * from product_category', connection)

https://i.stack.imgur.com/1bege.png