code: def _coef_table(self):
      model = self.model
      k = model.neqs
  
      Xnames = self.model.exog_names
  
      data = lzip(
          model.params.T.ravel(),
          model.stderr.T.ravel(),
          model.tvalues.T.ravel(),
          model.pvalues.T.ravel(),
      )
  
      header = ("coefficient", "std. error", "t-stat", "prob")
  
      buf = StringIO()
      dim = k * model.k_ar + model.k_trend + model.k_exog_user
      for i in range(k):
          section = "Results for equation %s" % model.names[i]
          buf.write(section + "\n")
  
          table = SimpleTable(
              data[dim * i : dim * (i + 1)],
              header,
              Xnames,
              title=None,
              txt_fmt=self.default_fmt,
          )
          buf.write(str(table) + "\n")
  
          if i < k - 1:
              buf.write("\n")
  
      return buf.getvalue()
  
file_path: statsmodels/statsmodels/tsa/vector_ar/output.py
imports: from statsmodels.compat.python import lzip
  from io import StringIO
  import numpy
  from statsmodels.iolib import SimpleTable
label_desc: Use image node_id 6 for calling the VARSummary obj's underlying member method code with example usage: obj._coef_table() and returns: buf