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.

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 pgimport pandas.io.sql as psqlconnection = 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

Late to the party here, but to give you a full example of this:

import pandas as pdimport psycopg2 as pgengine = pg.connect("dbname='my_db_name' user='pguser' host='127.0.0.1' port='15432' password='pgpassword'")df = pd.read_sql('select * from Stat_Table', con=engine)

You need to run the following to install the dependencies for ubuntu:

pip install pandas psycopg2-binary SQLAlchemy

Pandas docs on the subject here