update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have override this method to create a customized JSON wrapper. Note You must be using Postgres 9.2 / psycopg2 2.5 or greater. Note If you are using Postgres 9.4, strongly consider using the BinaryJSONField instead

update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have this method to create a customized JSON wrapper. Note: You must be using Postgres 9.2 / psycopg2 2.5 or greater. Note: If you are using Postgres 9.4, strongly consider using the BinaryJSONField instead

update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have database it will be returned as a Python data structure. Note You must be using Postgres 9.2 / psycopg2 2.5 or greater. Note If you are using Postgres 9.4, strongly consider using the BinaryJSONField instead

to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', database it will be returned as a Python data structure. Note You must be using Postgres 9.2 / psycopg2 2.5 or greater. Note If you are using Postgres 9.4, strongly consider using the BinaryJSONField instead

update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have database it will be returned as a Python data structure. Note You must be using Postgres 9.2 / psycopg2 2.5 or greater. Note If you are using Postgres 9.4, strongly consider using the BinaryJSONField instead

update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have database it will be returned as a Python data structure. Note You must be using Postgres 9.2 / psycopg2 2.5 or greater. Note If you are using Postgres 9.4, strongly consider using the BinaryJSONField instead

to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', database it will be returned as a Python data structure. Note: You must be using Postgres 9.2 / psycopg2 2.5 or greater. Note: If you are using Postgres 9.4, strongly consider using the BinaryJSONField instead

you want to do an atomic update to the house: >>> new_features = House.features.update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == 0 (continued from previous page) 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', 'garage': '2 cars', 'sqft': '1100'} Or, alternatively an atomic delete: >>> query = House to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have

you want to do an atomic update to the house: >>> new_features = House.features.update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == 0 (continued from previous page) 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath', 'garage': '2 cars', 'sqft': '1100'} Or, alternatively an atomic delete: >>> query = House to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have

= TextField() value = FloatField() data = ( ('a', (1.25, 1.5, 1.75)), ('b', (2.1, 2.3, 2.5, 2.7, 2.9)), ('c', (3.5, 3.5))) # Populate data. for key, values in data: Sample.insert_many([(key to use this functionality you must be using the correct version of Postgres with psycopg2 version 2.5 or greater. To use BinaryJSONField, which has many performance and querying advantages, you must have update({'bath': '2.5 bath', 'sqft': '1100'}) >>> query = House.update(features=new_features) >>> query.where(House.id == h.id).execute() 1 >>> h = House.get(House.id == h.id) >>> h.features {'bath': '2.5 bath',