How to update HDF5 table with partial data?

Question

I'm wondering how one might update an HDF5 table when one only has partial data? For example, suppose the following df is stored in an HDF5 table.

import pandas as pd

df = pd.DataFrame([
         [100,90,80,70,36,45],
         [101,78,65,88,55,78],
         [92,77,42,79,43,32],
         [103,98,76,54,45,65]],
         index = pd.date_range(start='2022-01-01', periods=4)
)

df.columns = pd.MultiIndex.from_tuples(
        (("mkf", "Open"),
         ("mkf", "Close"),
         ("tdf", "Open"),
         ("tdf","Close"),
         ("ghi","Open"),
         ("ghi", "Close"))
)

df
            mkf        tdf        ghi
           Open Close Open Close Open Close
2022-01-01  100    90   80    70   36    45
2022-01-02  101    78   65    88   55    78
2022-01-03   92    77   42    79   43    32
2022-01-04  103    98   76    54   45    65

store = pd.HDFStore('store.h5')
store.append('data', df)

Next, suppose I obtain partial data (e.g. data for mkf and tdf but not ghi).

df1 = pd.DataFrame([
        [70,80,90,70],
        [91,68,45,88],
        [92,47,32,79],
        [43,38,77,74]],
        index = pd.date_range(start='2022-01-05', periods=4)
)
df1.columns = pd.MultiIndex.from_tuples((("mkf", "Open"),
                   ("mkf", "Close"),
                   ("tdf", "Open"),
                   ("tdf","Close"),
                   )
)    

df1
            mkf        tdf
           Open Close Open Close
2022-01-05   70    80   90    70
2022-01-06   91    68   45    88
2022-01-07   92    47   32    79
2022-01-08   43    38   77    74 

How can I update store? I tried the following but got a ValueError:

store.append('data',df1)
 ValueError: cannot match existing table structure for [(mkf, Open),(mkf, Close),(tdf, Open),(tdf, Close),(ghi, Open),(ghi, Close)] on appending data