[Python] Map a column name with a list value from another column

My df:

Column_Name Values
0 X [1,2,3]
1 Y [a,b,c]
2 Z [20-09-2020,20-12-2202,1-1-2001]
3 W [0.1,0.2,0.3]

# df.dtypes

Values object
column_name object
dtype: object


How i can create a new dataframe that would look like this where each value of the Column name would be a new column, like this:

X Y Z W
0 1 a 20-09-2020 0.1
1 2 b 20-12-2202 0.2
2 3 c 1-1-2001 0.3


Note i have already transposed the table:

df_all = pd.read_sql_table('Test',engine)
df_test = pd.Series({c:df_all[c].unique() for c in df_all})
df = pd.DataFrame({'column_name': df_test.index,'Values':df_test.values})
df.reset_index(drop=True,inplace=True)

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