Frictionless supports using data stored as File-Like objects in Python.
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:
from pprint import pprint
from frictionless import Resource
with open('table.csv', 'rb') as file:
resource = Resource(file, format='csv')
pprint(resource.read_rows())
[{'id': 1, 'name': 'english'}, {'id': 2, 'name': '中国人'}]
A similiar approach can be used for writing:
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())
{'name': 'memory',
'type': 'table',
'data': [],
'scheme': 'stream',
'format': 'csv',
'mediatype': 'text/csv'}
+----+-----------+
| id | name |
+====+===========+
| 1 | 'english' |
+----+-----------+
| 2 | 'german' |
+----+-----------+