List of dictionaries with multiple values per key as Dataframe

Question

I want to convert a list of dictionaries with multiple values per key to a Dataframe.

d = [
    {'2020-12-31 00:00:00': [123, 456, 789, 321]}, 
    {'2021-05-06 00:00:00': [999, 888, 777, 666]}
]

The Dataframe should look like this:

index	Date	value1	value2	value3	value4
0	2020-12-31 00:00:00	123	456	789	321
1	2021-05-06 00:00:00	999	888	777	666

I know that creating a Dataframe with a list of dictionaries is easily achievable with pd.DataFrame(dictionaries) but i would like to split the values into separate columns.

I appreciate any help.

Answer 1

pd.DataFrame(d).stack().apply(
    pd.Series).add_prefix(
    'Value').reset_index().rename(columns={'level_0':'index', 'level_1':'Date'})

Output

    index Date               Value0 Value1  Value2  Value3
0   0     2020-12-31 00:00:00   123  456    789     321
1   1     2021-05-06 00:00:00   999  888    777     666