I am looping through the groups of a pandas groupby object to print the (sub)dataframe for each group. The headings are printed for each group. Here are some of the (sub)dataframes, with column headings “MMSI” and “ShipName”:

            MMSI              ShipName
15468  109080345  OYANES 3       [19%]
46643  109080345  OYANES 3       [18%]
            MMSI              ShipName
19931  109080342  OYANES 2       [83%]
48853  109080342  OYANES 2       [82%]
            MMSI              ShipName
45236  109050943  SVARTHAV 2     [11%]
48431  109050943  SVARTHAV 2     [14%]
            MMSI              ShipName
21596  109050904  MR:N2FE        [88%]
49665  109050904  MR:N2FE        [87%]
            MMSI              ShipName
13523  941500907  MIKKELSEN B 5  [75%]
45711  941500907  MIKKELSEN B 5  [74%]

Web searching shows that pandas.io.formats.style.Styler.hide_columns can be used to suppress the headings. I am using Python 3.9, in which hide_columns is not recognized. However, dir(pd.io.formats.style.Styler) shows a hide method, for which the doc string gives this first example:

>>> df = pd.DataFrame([[1,2], [3,4], [5,6]], index=["a", "b", "c"])
>>> df.style.hide(["a", "b"])  # doctest: +SKIP
     0    1
c    5    6

When I try hide() and variations thereof, all I get is an address to the resulting Styler object:

>>> df.style.hide(["a", "b"])  # doctest: +SKIP
<pandas.io.formats.style.Styler at 0x243baeb1760>

>>> df.style.hide(axis='columns') # /a/69111895
<pandas.io.formats.style.Styler at 0x243baeb17c0>

>>> df.style.hide() # Desparate random trial & error
<pandas.io.formats.style.Styler at 0x243baeb1520>

What could cause my result to differ from the doc string? How can I properly use the Styler object to get the dataframe printed without column headings?