That’s a job for reindex_like. Start with the original:
df1 = pd.DataFrame([[11, 12], [21, 22]], columns=['c1', 'c2'], index=['i1', 'i2'])
Construct an empty DataFrame and reindex it like df1:
pd.DataFrame().reindex_like(df1)
Out:
c1 c2
i1 NaN NaN
i2 NaN NaN