title: Extract values from WaldTestResults pandas DataFrame
body: <p>After applying statsmodels.api.Logit I get the output of the logistic model.</p>
  <pre><code>LogModel = sm.Logit(y_01, Xdata_WithDummies).fit()        
  walds = LogModel.wald_test_terms()
  </code></pre>
  <p>Among the computed statistics there is a Wald Test table given as a pandas Dataframe (&lt;class 'statsmodels.stats.contrast.WaldTestResults'&gt;), that I can print and see it. However, I need to extract specific elements of this table for further analysis. According to the <a href="https://www.statsmodels.org/stable/generated/statsmodels.discrete.discrete_model.LogitResults.wald_test_terms.html#statsmodels.discrete.discrete_model.LogitResults.wald_test_terms" rel="nofollow noreferrer">help page</a> the Wald table is a pandas DataFrame.</p>
  <p>I did not manage to transform this table into a list (list(wald), TypeError: 'WaldTestResults' object is not iterable) nor to see its values by wald.values (error: AttributeError: 'WaldTestResults' object has no attribute 'values') nor to extract a specific column (TypeError: 'WaldTestResults' object is not subscriptable), or even to extract specific values out of the table following relevant advice (e.g. <a href="https://stackoverflow.com/questions/35074820/extracting-a-single-data-from-pandas-data-frame">here</a>).</p>
  <p>How could I read specific values out of this table? Or (equivalently) how could I transform this table into a list?</p>