Loading process_srl.py +2 −1 Original line number Diff line number Diff line Loading @@ -63,6 +63,7 @@ MIN_FREQ = args.min_freq N = args.n ARG = args.arg LEMMATIZE = args.lemmatize print(args) # load files sent = pd.read_csv('data/sent_df.csv', names=['sent_id','bias','doc_id','s']) Loading @@ -76,7 +77,7 @@ output = output[output['name'] != 'Ryan'] #print('Arg-0 only {}:'.format(df.shape)) # combine output print(output.sent_id.value_counts()) print(output.sent_id.value_counts().head) output['sent_id'] = output['sent_id'].astype(float) sent['sent_id'] = sent['sent_id'].astype(float) df = pd.merge(output, sent, on=['sent_id']) Loading Loading
process_srl.py +2 −1 Original line number Diff line number Diff line Loading @@ -63,6 +63,7 @@ MIN_FREQ = args.min_freq N = args.n ARG = args.arg LEMMATIZE = args.lemmatize print(args) # load files sent = pd.read_csv('data/sent_df.csv', names=['sent_id','bias','doc_id','s']) Loading @@ -76,7 +77,7 @@ output = output[output['name'] != 'Ryan'] #print('Arg-0 only {}:'.format(df.shape)) # combine output print(output.sent_id.value_counts()) print(output.sent_id.value_counts().head) output['sent_id'] = output['sent_id'].astype(float) sent['sent_id'] = sent['sent_id'].astype(float) df = pd.merge(output, sent, on=['sent_id']) Loading