def _read_dictionary(self, qtype = QDICTIONARY, options = READER_CONFIGURATION):
if options.pandas:
keys = self._read_object(options = options)
values = self._read_object(options = options)
if isinstance(keys, pandas.DataFrame):
if not isinstance(values, pandas.DataFrame):
raise QReaderException('Keyed table creation: values are expected to be of type pandas.DataFrame. Actual: %s' % type(values))
indices = keys.columns
table = keys
table.meta = keys.meta
table.meta.qtype = QKEYED_TABLE
for column in values.columns:
table[column] = values[column]
table.meta[column] = values.meta[column]
table.set_index([column for column in indices], inplace = True)
return table
else:
keys = keys if not isinstance(keys, pandas.Series) else keys.as_matrix()
values = values if not isinstance(values, pandas.Series) else values.as_matrix()
return QDictionary(keys, values)
else:
return QReader._read_dictionary(self, qtype = qtype, options = options)
def _read_dictionary(self,
qtype=QDICTIONARY,
options=READER_CONFIGURATION):
if options.pandas:
keys = self._read_object(options=options)
values = self._read_object(options=options)
if isinstance(keys, pandas.DataFrame):
if not isinstance(values, pandas.DataFrame):
raise QReaderException(
'Keyed table creation: values are expected to be of type pandas.DataFrame. Actual: %s'
% type(values))
indices = keys.columns
table = keys
table.meta = keys.meta
table.meta.qtype = QKEYED_TABLE
for column in values.columns:
table[column] = values[column]
table.meta[column] = values.meta[column]
table.set_index([column for column in indices], inplace=True)
return table
else:
keys = keys if not isinstance(
keys, pandas.Series) else keys.as_matrix()
values = values if not isinstance(
values, pandas.Series) else values.as_matrix()
return QDictionary(keys, values)
else:
return QReader._read_dictionary(self, qtype=qtype, options=options)
def _read_dictionary(self, qtype=QDICTIONARY):
if self._options.pandas:
keys = self._read_object()
values = self._read_object()
if isinstance(keys, pandas.DataFrame):
if not isinstance(values, pandas.DataFrame):
raise QReaderException(
'Keyed table creation: values are expected to be of type pandas.DataFrame. Actual: %s'
% type(values))
indices = keys.columns
table = keys
# meta attribute is obsolete, use attrs['meta'] instead
if hasattr(keys, 'meta'):
table.attrs['meta'] = keys.meta
warnings.warn(
"Usage of meta attribute is deprecated, please use attrs['meta'] instead",
DeprecationWarning)
else:
table.attrs['meta'] = keys.attrs['meta']
table.attrs['meta'].qtype = QKEYED_TABLE
if hasattr(values, 'meta'):
warnings.warn(
"Usage of meta attribute is deprecated, please use attrs['meta'] instead",
DeprecationWarning)
for column in values.columns:
table[column] = values[column]
table.attrs['meta'][column] = values.meta[column]
else:
for column in values.columns:
table[column] = values[column]
table.attrs['meta'][column] = values.attrs['meta'][
column]
table.set_index([column for column in indices], inplace=True)
return table
else:
keys = keys if not isinstance(keys,
pandas.Series) else keys.values
values = values if not isinstance(
values, pandas.Series) else values.values
return QDictionary(keys, values)
else:
return QReader._read_dictionary(self, qtype=qtype)
