def __init__(self, klass, values, meta):
self.klass = klass
if 'columns' in meta.keys():
meta['column_types'] = Util.convert_to_columns_list(
meta['columns'], 'type')
meta['columns'] = Util.convert_to_columns_list(
meta['columns'], 'name')
# Since we are iterating over a list of data be sure to only compute the
# methodized column names once and pass that down to the objects that are being created.
converted_column_names = Util.convert_column_names(meta)
if hasattr(klass, 'get_code_from_meta'):
self.values = list([
klass(klass.get_code_from_meta(x),
x,
meta=meta,
converted_column_names=converted_column_names)
for x in values
])
else:
self.values = list([
klass(x,
meta=meta,
converted_column_names=converted_column_names)
for x in values
])
self.meta = meta
def __init__(self, klass, values, meta):
self.klass = klass
if 'columns' in meta.keys():
meta['column_types'] = Util.convert_to_columns_list(meta['columns'], 'type')
meta['columns'] = Util.convert_to_columns_list(meta['columns'], 'name')
# Since we are iterating over a list of data be sure to only compute the
# methodized column names once and pass that down to the objects that are being created.
converted_column_names = Util.convert_column_names(meta)
if hasattr(klass, 'get_code_from_meta'):
self.values = list([klass(
klass.get_code_from_meta(x),
x,
meta=meta,
converted_column_names=converted_column_names
) for x in values])
else:
self.values = list([klass(
x,
meta=meta,
converted_column_names=converted_column_names
) for x in values])
self.meta = meta
def data_fields(self):
if not self._converted_column_names and self.meta:
self._converted_column_names = Util.convert_column_names(self.meta)
return self._converted_column_names
