title: How to mask the upper triangle of a covariance matrix in sns.heatmap along with a covariance threshold?
body: <p>To mask the covariances below a threshold I can use the following:</p>
  <pre><code>corr = df.corr(method = 'spearman')
  sns.heatmap(corr, cmap = 'RdYlGn_r', mask = (corr &lt;= T))
  </code></pre>
  <p>now how can I mask the upper triangle with the correlation threshold condition?</p>