X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/b4dd9acbd8e499d87714413b8260240341ebf7d7..HEAD:/visualization/tsne_vis.py diff --git a/visualization/tsne_vis.py b/visualization/tsne_vis.py index 4b42e8e..c39a740 100644 --- a/visualization/tsne_vis.py +++ b/visualization/tsne_vis.py @@ -14,9 +14,9 @@ def base_plot(plot_data): 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_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') # cluster_select_and = cluster_click_select & cluster_select # @@ -42,7 +42,7 @@ def zoom_plot(plot_data): chart = base_plot(plot_data) chart = chart.interactive() - chart = chart.properties(width=1275,height=1000) + chart = chart.properties(width=1275,height=800) return chart @@ -139,11 +139,19 @@ def assign_cluster_colors(tsne_data, clusters, n_colors, n_neighbors = 4): 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) @@ -155,13 +163,13 @@ def build_visualization(tsne_data, clusters, output): if __name__ == "__main__": fire.Fire(build_visualization) -commenter_data = pd.read_feather("tsne_author_fit.feather") -clusters = pd.read_feather('author_3000_clusters.feather') -commenter_data = assign_cluster_colors(commenter_data,clusters,10,8) -commenter_zoom_plot = zoom_plot(commenter_data) -commenter_viewport_plot = viewport_plot(commenter_data) -commenter_zoom_plot.save("subreddit_commenters_tsne_3000.html") -commenter_viewport_plot.save("subreddit_commenters_tsne_3000_viewport.html") +# commenter_data = pd.read_feather("tsne_author_fit.feather") +# clusters = pd.read_feather('author_3000_clusters.feather') +# commenter_data = assign_cluster_colors(commenter_data,clusters,10,8) +# commenter_zoom_plot = zoom_plot(commenter_data) +# commenter_viewport_plot = viewport_plot(commenter_data) +# commenter_zoom_plot.save("subreddit_commenters_tsne_3000.html") +# commenter_viewport_plot.save("subreddit_commenters_tsne_3000_viewport.html") # chart = chart.properties(width=10000,height=10000) # chart.save("test_tsne_whole.svg")