from sparknlp_display import NerVisualizer

ner_vis = NerVisualizer()

## To set custom label colors:
ner_vis.set_label_colors({'LOC':'#800080', 'PER':'#77b5fe'}) #set label colors by specifying hex codes

vis_html = ner_vis.display(pipeline_result[0], #should be the results of a single example, not the complete dataframe
                    label_col='entities', #specify the entity column
                    document_col='document', #specify the document column (default: 'document')
                    labels=['PER'], #only allow these labels to be displayed. (default: [] - all labels will be displayed)
                    return_html=True)


displayHTML(vis_html)

from sparknlp_display import DependencyParserVisualizer

dependency_vis = DependencyParserVisualizer()

dependency_vis.display(pipeline_result[0], #should be the results of a single example, not the complete dataframe.
                       pos_col = 'pos', #specify the pos column
                       dependency_col = 'dependency', #specify the dependency column
                       dependency_type_col = 'dependency_type' #specify the dependency type column
                       )

from sparknlp_display import NerVisualizer

ner_vis = NerVisualizer()

ner_vis.display(pipeline_result[0], #should be the results of a single example, not the complete dataframe
                    label_col='entities', #specify the entity column
                    document_col='document' #specify the document column (default: 'document')
                    labels=['PER'] #only allow these labels to be displayed. (default: [] - all labels will be displayed)
                    )

## To set custom label colors:
ner_vis.set_label_colors({'LOC':'#800080', 'PER':'#77b5fe'}) #set label colors by specifying hex codes

from sparknlp_display import EntityResolverVisualizer

er_vis = EntityResolverVisualizer()

er_vis.display(pipeline_result[0], #should be the results of a single example, not the complete dataframe
               label_col='entities', #specify the ner result column
               resolution_col = 'resolution'
               document_col='document' #specify the document column (default: 'document')
               )

## To set custom label colors:
er_vis.set_label_colors({'TREATMENT':'#800080', 'PROBLEM':'#77b5fe'}) #set label colors by specifying hex codes

from sparknlp_display import RelationExtractionVisualizer

re_vis = RelationExtractionVisualizer()

re_vis.display(pipeline_result[0], #should be the results of a single example, not the complete dataframe
               relation_col = 'relations', #specify relations column
               document_col = 'document', #specify document column
               show_relations=True #display relation names on arrows (default: True)
               )

from sparknlp_display import AssertionVisualizer

assertion_vis = AssertionVisualizer()

assertion_vis.display(pipeline_result[0], 
                      label_col = 'entities', #specify the ner result column
                      assertion_col = 'assertion' #specify assertion column
                      document_col = 'document' #specify the document column (default: 'document')
                      )
                      
## To set custom label colors:
assertion_vis.set_label_colors({'TREATMENT':'#008080', 'problem':'#800080'}) #set label colors by specifying hex codes