Diy corr?

py/clustering.py

     cols = df.columns
     ncols = len(cols)
     cdf = p.DataFrame(index = cols, columns = cols)
-    for c in tqdm(range(ncols)):
-        cind = cols[c]
-        cdf.loc[cind, cind] = 1
-        # for i in range(c + 1, ncols):
-        #     print("ZZZ")
+    for c in tqdm(cols):
+        cdf.loc[c, c] = 0
+    comb = combinations(cols, 2)
+    for c1, c2 in tqdm(comb):
+        cdf.loc[c1, c2] = 1 - df[c1].corr(df[c2])
     return cdf