CODEWITHSUNDEEP
pythondatabasepandaspostgresql
Pranav Barve
Pranav Barve

Reputation: 105

How to map data types from python pandas to postgres table?

I have a pandas.DataFrame with columns having different data types like object, int64 , etc. I have a postgresql table created with appropriate data types. I want to insert all the dataframe data into postgresql table. How should manage to do this?

Note : The data in pandas is coming from another source so the data types are not specified manually by me.

Upvotes: 3

Views: 4580

Answers (2)

rokdd
rokdd

Reputation: 652

Maybe you have the problem I had that you want to create new columns on the existing table, and then the solution to replace or append the table does not work for me. Shortly for me it looks like this ( I guess for the converting of datatypes is no general solution and you should adapt for your need):

lg.debug('table gets extended with the columns: '+",".join(dataframe.dtypes))
#check whether we have to add a field
df_postgres={'object':'text','int64':'bigint','float64':'numeric','bool':'boolean','datetime64':'timestamp','timedelta':'interval'}
for col in dataframe.columns:
    #convert the columns to postgres:
    if str(dataframe.dtypes[col]) in df_postgres:
        dbo.table_column_if_not_exists(self.table_name,col,df_postgres[str(dataframe.dtypes[col])],original_endpoint)
    else:
        lg.error('Fieldtype '+str(dataframe.dtypes[col])+' is not configured')

and the function to create the columns:

def table_column_if_not_exists(self,table,name,dtype,original_endpoint=''):
    self.query(query='ALTER TABLE '+table+' ADD COLUMN IF NOT EXISTS '+name+' '+dtype)
    #make a comment when we know which source create this column
    if original_endpoint!='':
            self.query(query='comment on column '+table+'.'+name+" IS '"+original_endpoint+"'")

Upvotes: 2

NYC Coder
NYC Coder

Reputation: 7594

The easiest way is to use sqlalchemy:

from sqlalchemy import create_engine

engine = create_engine('postgresql://abc:def@localhost:5432/database')
df.to_sql('table_name', engine, if_exists='replace')

If the table exists, you can choose what you want to do with if_exists option

if_exists {‘fail’, ‘replace’, ‘append’}, default ‘fail’

If the table does not exist, it will create a new table with the corresponding datatypes.

Upvotes: 2

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