def tograph(table, context, *args, **kwargs):
"""
Return an RDFLib Graph of the table using the context.
"""
obj = list(_dicts(table))
data = add_context(obj, context)
return graph_from_ld(data)
def to_lineoriented_json(table, source):
"""
Function to enabling PETL support for exporting line-oriented JSON.
"""
source = write_source_from_arg(source)
encoder = DateEncoder()
with source.open("wb") as f:
for d in _dicts(table):
for chunk in encoder.iterencode(d):
f.write(chunk)
f.write("\n")
def to_lineoriented_json(table, source):
"""
Function to enabling PETL support for exporting line-oriented JSON.
"""
source = write_source_from_arg(source)
encoder = DateEncoder()
with source.open("wb") as f:
for d in _dicts(table):
for chunk in encoder.iterencode(d):
f.write(chunk)
f.write("\n")
def tojsonld(table, context, source=None, prefix=None, suffix=None, *args, **kwargs):
"""
Add the JSON-LD context to the table.
From petl:
Note that this is currently not streaming, all data is loaded into memory
before being written to the file.
"""
obj = list(_dicts(table))
data = add_context(obj, context)
#return json.dumps(data, indent=2)
_writejson(source, data, prefix, suffix, *args, **kwargs)
def tojson(table, source=None, prefix=None, suffix=None, *args, **kwargs):
"""
Write a table in JSON format, with rows output as JSON objects. E.g.::
>>> import petl as etl
>>> table1 = [['foo', 'bar'],
... ['a', 1],
... ['b', 2],
... ['c', 2]]
>>> etl.tojson(table1, 'example.json', sort_keys=True)
>>> # check what it did
... print(open('example.json').read())
[{"bar": 1, "foo": "a"}, {"bar": 2, "foo": "b"}, {"bar": 2, "foo": "c"}]
Note that this is currently not streaming, all data is loaded into memory
before being written to the file.
"""
obj = list(_dicts(table))
_writejson(source, obj, prefix, suffix, *args, **kwargs)
def tojson(table, source=None, prefix=None, suffix=None, *args, **kwargs):
"""
Write a table in JSON format, with rows output as JSON objects. E.g.::
>>> import petl as etl
>>> table1 = [['foo', 'bar'],
... ['a', 1],
... ['b', 2],
... ['c', 2]]
>>> etl.tojson(table1, 'example.file3.json', sort_keys=True)
>>> # check what it did
... print(open('example.file3.json').read())
[{"bar": 1, "foo": "a"}, {"bar": 2, "foo": "b"}, {"bar": 2, "foo": "c"}]
Note that this is currently not streaming, all data is loaded into memory
before being written to the file.
"""
obj = list(_dicts(table))
_writejson(source, obj, prefix, suffix, *args, **kwargs)