Loading process_srl.py +7 −4 Original line number Diff line number Diff line Loading @@ -38,9 +38,12 @@ df['dom'] = df.lemma.apply(get_dom) grs = df.drop_duplicates().groupby('same') # symptoms of agency arg_agr = pd.DataFrame(columns=['']) dom_agr = pd.DataFrame(columns=['']) for n, gr in grs: print(n) print(gr.nlargest(n=10, columns=['dom'])) print('\n', gr.dom.mean()) print(n, gr.dom.mean()) arg_agr[n] = gr['arg'].value_counts() dom_agr[n] = gr.nlargest(n=10, columns=['dom']) print('\n',gr['arg'].value_counts().head(n=10)) No newline at end of file print(arg_agr.head(n=10)) print(dom_agr.head(n=10)) Loading
process_srl.py +7 −4 Original line number Diff line number Diff line Loading @@ -38,9 +38,12 @@ df['dom'] = df.lemma.apply(get_dom) grs = df.drop_duplicates().groupby('same') # symptoms of agency arg_agr = pd.DataFrame(columns=['']) dom_agr = pd.DataFrame(columns=['']) for n, gr in grs: print(n) print(gr.nlargest(n=10, columns=['dom'])) print('\n', gr.dom.mean()) print(n, gr.dom.mean()) arg_agr[n] = gr['arg'].value_counts() dom_agr[n] = gr.nlargest(n=10, columns=['dom']) print('\n',gr['arg'].value_counts().head(n=10)) No newline at end of file print(arg_agr.head(n=10)) print(dom_agr.head(n=10))