List Highest Correlation Pairs from a Large Correlation Matrix in Pandas?

Question

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

Answer 1

This is a improve code from @MiFi. This one order in abs but not excluding the negative values.

   def top_correlation (df,n):
    corr_matrix = df.corr()
    correlation = (corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))
                 .stack()
                 .sort_values(ascending=False))
    correlation = pd.DataFrame(correlation).reset_index()
    correlation.columns=["Variable_1","Variable_2","Correlacion"]
    correlation = correlation.reindex(correlation.Correlacion.abs().sort_values(ascending=False).index).reset_index().drop(["index"],axis=1)
    return correlation.head(n)

top_correlation(ANYDATA,10)