def load_files():
rows = defaultdict(Stats)
load_feelings('data/feelings.csv', rows)
for label, filename in filemap.iteritems():
fn = 'data/{filename}'.format(filename=filename)
load_json(fn, rows, label)
return rows
def load_files(folder_name=None):
start_date, end_date = None, None
if not folder_name:
folder_name = 'angular_flask/data_processing/data'
folder_name += '/{filename}'
rows = defaultdict(Stats)
for label, filename in filemap.iteritems():
fn = folder_name.format(filename=filename)
start_date, end_date = load_json(fn, rows, label, start_date, end_date)
return rows, start_date, end_date
