def data(self, **options):
# handle_not_found_error if set to True will add an empty DataFrame
# for a non-existent dataset instead of raising an error
handle_not_found_error = options.pop('handle_not_found_error', False)
handle_column_not_found = options.pop('handle_column_not_found', False)
# default order to ascending, and respect whatever user passes in
params = {
'database_code': self.database_code,
'dataset_code': self.dataset_code,
'order': 'asc'
}
updated_options = Util.merge_options('params', params, **options)
try:
return Data.all(**updated_options)
except NotFoundError:
if handle_not_found_error:
return DataList(
Data, [],
{'column_names': [six.u('None'),
six.u('Not Found')]})
raise
except ColumnNotFound:
if handle_column_not_found:
return DataList(
Data, [],
{'column_names': [six.u('None'),
six.u('Not Found')]})
raise
def test_merge_options_when_key_doesnt_exist_in_options(self):
params = {'foo': 'bar', 'foo2': 'bar2'}
options = {'params': {'foo3': 'bar3'}}
merged = Util.merge_options('params', params, **options)
self.assertDictEqual(
merged, {'params': {'foo': 'bar',
'foo2': 'bar2', 'foo3': 'bar3'}})
def test_merge_options_when_key_doesnt_exist_in_options(self):
params = {'foo': 'bar', 'foo2': 'bar2'}
options = {'params': {'foo3': 'bar3'}}
merged = Util.merge_options('params', params, **options)
self.assertDictEqual(
merged, {'params': {'foo': 'bar',
'foo2': 'bar2', 'foo3': 'bar3'}})
def _get_dataset_data(self, dataset, **options):
updated_options = options
# if we have only one column index, let the api
# handle the column filtering since the api supports this
if len(dataset.requested_column_indexes) == 1:
params = {'column_index': dataset.requested_column_indexes[0]}
# only change the options per request
updated_options = options.copy()
updated_options = Util.merge_options('params', params, **updated_options)
return dataset.data(**updated_options)
def _get_dataset_data(self, dataset, **options):
updated_options = options
# if we have only one column index, let the api
# handle the column filtering since the api supports this
if len(dataset.requested_column_indexes) == 1:
params = {'column_index': dataset.requested_column_indexes[0]}
# only change the options per request
updated_options = options.copy()
updated_options = Util.merge_options('params', params,
**updated_options)
return dataset.data(**updated_options)
def __get_raw_data__(self):
if self._raw_data:
return self._raw_data
cls = self.__class__
params = {'id': str(self.code)}
options = Util.merge_options('params', params, **self.options)
path = Util.constructed_path(cls.get_path(), options['params'])
r = Connection.request('get', path, **options)
response_data = r.json()
Util.convert_to_dates(response_data)
self._raw_data = response_data[singularize(cls.lookup_key())]
return self._raw_data
def data(self, **options):
# handle_not_found_error if set to True will add an empty DataFrame
# for a non-existent dataset instead of raising an error
handle_not_found_error = options.pop('handle_not_found_error', False)
handle_column_not_found = options.pop('handle_column_not_found', False)
# default order to ascending, and respect whatever user passes in
params = {
'database_code': self.database_code,
'dataset_code': self.dataset_code,
'order': 'asc'
}
updated_options = Util.merge_options('params', params, **options)
try:
return Data.all(**updated_options)
except NotFoundError:
if handle_not_found_error:
return DataList(Data, [], {'column_names': [six.u('None'), six.u('Not Found')]})
raise
except ColumnNotFound:
if handle_column_not_found:
return DataList(Data, [], {'column_names': [six.u('None'), six.u('Not Found')]})
raise
def datasets(self, **options):
params = {'database_code': self.code, 'query': '', 'page': 1}
options = Util.merge_options('params', params, **options)
return quandl.model.dataset.Dataset.all(**options)
def datasets(self, **options):
params = {'database_code': self.code, 'query': '', 'page': 1}
options = Util.merge_options('params', params, **options)
return quandl.model.dataset.Dataset.all(**options)