cluster_dropdown = alt.binding_select(options=[str(c) for c in sorted(set(plot_data.cluster))])
- subreddit_dropdown = alt.binding_select(options=sorted(plot_data.subreddit))
+ # subreddit_dropdown = alt.binding_select(options=sorted(plot_data.subreddit))
cluster_click_select = alt.selection_single(on='click',fields=['cluster'], bind=cluster_dropdown, name=' ')
# cluster_select = alt.selection_single(fields=['cluster'], bind=cluster_dropdown, name='cluster')
chart = base_plot(plot_data)
chart = chart.interactive()
- chart = chart.properties(width=1275,height=1000)
+ chart = chart.properties(width=1275,height=800)
return chart
def build_visualization(tsne_data, clusters, output):
+ # tsne_data = "/gscratch/comdata/output/reddit_tsne/subreddit_author_tf_similarities_10000.feather"
+ # clusters = "/gscratch/comdata/output/reddit_clustering/subreddit_author_tf_similarities_10000.feather"
+
tsne_data = pd.read_feather(tsne_data)
clusters = pd.read_feather(clusters)
tsne_data = assign_cluster_colors(tsne_data,clusters,10,8)
+ # sr_per_cluster = tsne_data.groupby('cluster').subreddit.count().reset_index()
+ # sr_per_cluster = sr_per_cluster.rename(columns={'subreddit':'cluster_size'})
+
+ tsne_data = tsne_data.merge(sr_per_cluster,on='cluster')
+
term_zoom_plot = zoom_plot(tsne_data)
term_zoom_plot.save(output)