How do you find the top correlations in a correlation matrix with Pandas? There are many answers on how to do this with R (Show correlations as an ordered list, not as a lar
Combining some features of @HYRY and @arun's answers, you can print the top correlations for dataframe df in a single line using:
df.corr().unstack().sort_values().drop_duplicates()
Note: the one downside is if you have 1.0 correlations that are not one variable to itself, the drop_duplicates() addition would remove them