title: read xlsb file as pandas dataframe and parse the date column as datetime format
body: <p>I have a 'some.xlsb' file with some 10 columns, out of which 2 are <code>DateTime</code> column.</p>
  <p>When I load using pandas the date-time column is parsed in a different form.</p>
  <p>Explanations:</p>
  <p>where <code>DateTime</code> value corresponding to <code>4/10/2021 11:50:24 AM</code> - read as <code>44296.5</code></p>
  <p>Below is the code I tried.</p>
  <pre><code>goods_df = pd.read_excel('some.xlsb',
                     engine='pyxlsb', sheet_name='goods_df')
  
  goods_df_header = goods_df.iloc[1]
  goods_df.columns = goods_df_header #set the header row as the df header
  goods_df= goods_df[2:]
  goods_df.head(2)
  </code></pre>