[OrderedDict([('Name', 'Soytra'), ('Class', 'First'), ('Number', '23768'), ('Place', 'NY'), ('Place1', 'LA'), ('Grade', 16.6038)]), OrderedDict([('Name', 'Reuhyta'), ('Class', 'First'), ('Number', '23769'), ('Place', 'NY'), ('Place1', 'LA'), ('Grade', 23.56789)])]

In [4]: l = [OrderedDict([('Name', 'Soytra'), ('Class', 'First'), ('Number', '23768'), ('Place', 'NY'), ('Place1', 'LA'
   ...: ), ('Grade', 16.6038)]), OrderedDict([('Name', 'Reuhyta'), ('Class', 'First'), ('Number', '23769'), ('Place', '
   ...: NY'), ('Place1', 'LA'), ('Grade', 23.56789)])]

In [13]: df = pd.DataFrame(l)

In [14]: df
Out[14]:
      Name  Class Number Place Place1     Grade
0   Soytra  First  23768    NY     LA  16.60380
1  Reuhyta  First  23769    NY     LA  23.56789

In [15]: df.to_html()
Out[15]: '<table border="1" class="dataframe">n  <thead>n    <tr style="text-align: right;">n      <th></th>n      <th>Name</th>n      <th>Class</th>n      <th>Number</th>n      <th>Place</th>n      <th>Place1</th>n      <th>Grade</th>n    </tr>n  </thead>n  <tbody>n    <tr>n      <th>0</th>n      <td>Soytra</td>n      <td>First</td>n      <td>23768</td>n      <td>NY</td>n      <td>LA</td>n      <td>16.60380</td>n    </tr>n    <tr>n      <th>1</th>n      <td>Reuhyta</td>n      <td>First</td>n      <td>23769</td>n      <td>NY</td>n      <td>LA</td>n      <td>23.56789</td>n    </tr>n  </tbody>n</table>'

# convert the ordered dicts into a python list
keys, rows = [], []
for sub_dict in ordered_items:
  row = []
  for key in sub_dict:
    if key not in keys:
      keys.append(key)
    row.append(sub_dict[key])
  rows.append(row)

# convert the python list into a HTML table
thead = "<thead>n  {}</thead>".format("".join(map(lambda key: "<th>{}</th>".format(key), keys)))
tbody = "<tbody>"
for row in rows:
  tbody += "n  <tr>{}</tr>".format("".join(map(lambda value: "<td>{}</td>".format(value), row)))
tbody += "</tbody>"
print("<table>" + thead + tbody + "</table>")