Stream Tutorial

Frictionless supports using data stored as File-Like objects in Python.

Reading Data

It's recommended to open files in byte-mode. If the file is opened in text-mode, Frictionless will try to re-open it in byte-mode.

You can read Stream using Package/Resource, for example:

Python

from pprint import pprint

from frictionless import Resource

with open('data/table.csv', 'rb') as file:

resource = Resource(file, format='csv')

pprint(resource.read_rows())

[{'id': 1, 'name': 'english'}, {'id': 2, 'name': '中国人'}]

Writing Data

A similiar approach can be used for writing:

Python

from frictionless import Resource

source = Resource(data=[['id', 'name'], [1, 'english'], [2, 'german']])

target = source.write(scheme='stream', format='csv')

print(target)

print(target.to_view())

{'data': <_io.BufferedReader name='/tmp/tmpaxbiv_8_'>,

'format': 'csv',

'scheme': 'stream'}

+----+-----------+

| id | name |

+====+===========+

| 1 | 'english' |

+----+-----------+

| 2 | 'german' |

+----+-----------+

Configuring Data

There are no options available for StreamControl.

References:

• Stream Control