[python] How to write DataFrame to postgres table?

Faster option:

The following code will copy your Pandas DF to postgres DB much faster than df.to_sql method and you won't need any intermediate csv file to store the df.

Create an engine based on your DB specifications.

Create a table in your postgres DB that has equal number of columns as the Dataframe (df).

Data in DF will get inserted in your postgres table.

from sqlalchemy import create_engine
import psycopg2 
import io

if you want to replace the table, we can replace it with normal to_sql method using headers from our df and then load the entire big time consuming df into DB.

engine = create_engine('postgresql+psycopg2://username:password@host:port/database')

df.head(0).to_sql('table_name', engine, if_exists='replace',index=False) #drops old table and creates new empty table

conn = engine.raw_connection()
cur = conn.cursor()
output = io.StringIO()
df.to_csv(output, sep='\t', header=False, index=False)
output.seek(0)
contents = output.getvalue()
cur.copy_from(output, 'table_name', null="") # null values become ''
conn.commit()

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