Skip to main content

Connect Jupyter Notebook Pandas to Postgres



First install Python library Psycopg2 to connect to PostgreSQL:

!pip install psycopg2

Now import the necessary libraries:

import pandas as pd
import psycopg2 as pg
import pandas.io.sql as psql

Connect to the DB Server:

conn = pg.connect("postgres://username:password@server:port/dbname")

Execute a Query:
df = pd.read_sql('select* from table_name', conn)
df.head()
Labels:

Comments

Post a Comment

Popular posts from this blog

Top Google Adsense Alternatives

Google Adsense is a web tool that allows publishers in the Google Network of content sites to automatically serve text, image, video, and rich media adverts that are targeted to site content and audience. These adverts are administered, sorted, and maintained by Google, and they can generate revenue on either a per-click or per-impression basis.  Google servers advertisers using google adwords platform, while adsense is the publishers platform. Google Adsense is the top Ad Publishers platform over the web ranking number one in web advertising industry. Adsense offers contextual advertisements that covers web sites, blogs, games, videos, mobile browsing etc. What made Google Adsense no. 1 is the reliability, stability, variety of services and large number of publishers including google it self. Also google has a fair platform that detects invalid clicks so google successfully protects its advertisers and also offers its best publishers top CPC. Two reasons are behin...
11 comments
Read more

The Semantic Web

Semantic Web aims to create a meaning and define inter-relationship for information available on the web In the early stages of the World Wide Web (web) it was necessary to develop standards to view web content (HTML language) and to create communication channels (N-Tier applications, email, ftp, etc.). As the web started to be the world’s largest knowledge base, accessible world wide, it became important to develop tools to transfer knowledge between cultures. However, it is still not possible for applications and agents to interoperate with other applications and agents without having a predefined, human created common framework of the meaning of the information being transferred on both sides. Semantic Web (SW) alleviates this problem by providing a common framework that allows data to be shared and reused across application, enterprise, and community boundaries [W3C Semantic Web, 2019]. A clear example on SW application is schema.org. Google, Bing, Yahoo use schema...
Post a Comment
Read more

ERROR: cross-database references are not implemented

You face this error while trying to query two tables from difference databases in Postgres, as Postgress is unlike SQL Server, you can't join two tables from different databases. Instead you may have One Database with Two different Schemas . Schemas group your data tables separately and give you the flexibility to query and join tables from across schemas in the same Database. So if you have DB1 and DB2, you need to move the tables in DB2 to DB1 but in a new schema. If you are using the public schema in DB2 you need to change the name:   alter schema public rename to new_schema_name ; create schema public ;   Now Backup your Schema: $ pg_dump --format custom --file "my_backup" --schema " new_schema_name " "db2" $ pg_restore --dbname "db1" "my_backup" Your Done. If you have any question please let me know.
Post a Comment
Read more