Add file to plot related subreddits using tsne.

visualization/tsne_vis.py

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+import pyarrow
+import altair as alt
+alt.data_transformers.disable_max_rows()
+alt.data_transformers.enable('data_server')
+import pandas as pd
+from numpy import random
+import numpy as np
+from sklearn.manifold import TSNE
+
+df = pd.read_csv("reddit_term_similarity_3000.csv")
+df = df.sort_values(['i','j'])
+
+n = max(df.i.max(),df.j.max())
+
+def zero_pad(grp):
+    p = grp.shape[0]
+    grp = grp.sort_values('j')
+    return np.concatenate([np.zeros(n-p),np.zeros(1),np.array(grp.value)])
+
+col_names = df.sort_values('j').loc[:,['subreddit_j']].drop_duplicates()
+first_name = list(set(df.subreddit_i) - set(df.subreddit_j))[0]
+col_names = [first_name] + list(col_names.subreddit_j)
+mat = df.groupby('i').apply(zero_pad)
+mat.loc[n] = np.concatenate([np.zeros(n),np.ones(1)])
+mat = np.stack(mat)
+
+# plot the matrix using the first and second eigenvalues
+mat = mat + np.tril(mat.transpose(),k=-1)
+
+tsne_model = TSNE(2,learning_rate=500,perplexity=40,n_iter=2000)
+tsne_fit_model = tsne_model.fit(mat)
+tsne_fit_whole = tsne_fit_model.fit_transform(mat)
+
+plot_data = pd.DataFrame({'x':tsne_fit_whole[:,0],'y':tsne_fit_whole[:,1], 'subreddit':col_names})
+
+plot_data.to_feather("tsne_subreddit_fit.feather")
+
+slider = alt.binding_range(min=1,max=100,step=1,name='zoom: ')
+selector = alt.selection_single(name='zoomselect',fields=['zoom'],bind='scales',init={'zoom':1})
+
+xrange = plot_data.x.max()-plot_data.x.min()
+yrange = plot_data.y.max()-plot_data.y.min()
+
+chart = alt.Chart(plot_data).mark_text().encode(
+    alt.X('x',axis=alt.Axis(grid=False)),
+    alt.Y('y',axis=alt.Axis(grid=False)),
+    text='subreddit')
+
+#chart = chart.add_selection(selector)
+
+chart = chart.configure_view(
+    continuousHeight=xrange/20,
+    continuousWidth=yrange/20
+)
+
+amount_shown = lambda zoom: {'width':xrange/zoom,'height':yrange/zoom}
+
+alt.data_transformers.enable('default')
+chart = chart.properties(width=1000,height=1000)
+chart = chart.interactive()
+chart.save("test_tsne_whole.html")
+chart = chart.properties(width=10000,height=10000)
+chart.save("test_tsne_whole.svg")