Merging two dictionaries as rows into one pandas dataframe

My question is similar to

Merging two dictionaries into one dataframe

but that question asked how to merge two dictionaries in one dataframe, using the dictionaries as columns. In my case, the dictionaries are the rows of the dataframe. MRE:

foo = {‘mean’: 0.11, ‘median’: 0.09, ‘p90’: 0.24}
bar = {‘mean’: 0.10, ‘median’: 0.09, ‘p90’: 0.20}

I want a dataframe like this:

set mean median  p90
foo 0.11   0.09 0.24
bar 0.10   0.09 0.20

how can I create it?

>Solution :

Let us do

d = {'foo': foo, 'bar': bar}
pd.DataFrame(d).T.rename_axis('set').reset_index()

Alternative approach with comprehension

d = {'foo': foo, 'bar': bar}
pd.DataFrame({'set': k, **v} for k, v in d.items())

   set  mean  median   p90
0  foo  0.11    0.09  0.24
1  bar  0.10    0.09  0.20