How to use the dataflows.helpers.iterable_loader function in dataflows

To help you get started, we’ve selected a few dataflows examples, based on popular ways it is used in public projects.

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datahq / dataflows / dataflows / base / flow.py View on Github

elif isfunction(link):
                sig = signature(link)
                params = list(sig.parameters)
                if len(params) == 1:
                    if params[0] == 'row':
                        ds = row_processor(link)(ds, position=position)
                    elif params[0] == 'rows':
                        ds = rows_processor(link)(ds, position=position)
                    elif params[0] == 'package':
                        ds = datapackage_processor(link)(ds, position=position)
                    else:
                        assert False, 'Failed to parse function signature %r' % params
                else:
                    assert False, 'Failed to parse function signature %r' % params
            elif isinstance(link, Iterable):
                ds = iterable_loader(link)(ds, position=position)

        return ds

How to use the dataflows.helpers.iterable_loader function in dataflows

To help you get started, we’ve selected a few dataflows examples, based on popular ways it is used in public projects.

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