Python - Pandas - split dictionary into columns

import pandas as pd

data = [
   [123, [{'type': 'Name', 'value': 'A'}, {'type': 'Birthdate', 'value': '1991'}, {'type': 'Style', 'value': 'C'}]],
   [128, [{'type': 'Birthdate', 'value': '1994'}, {'type': 'Name', 'value': 'F'}, {'type': 'Colour', 'value': 'Z'}]],
]

df = pd.DataFrame(data, columns=['pin', 'attributes'])
print(df)

# --- functions ---

def convert(row):
    result = pd.Series(dtype=object)

    for item in row:
        key = item['type']
        val = item['value']
        result[key] = val

    return result

# --- main ---

new_columns = df['attributes'].apply(convert)
df = df.join(new_columns)

df = df.drop(columns=['attributes'])

print(df)

"""
Result:

   pin                                         attributes
0  123  [{'type': 'Name', 'value': 'A'}, {'type': 'Bir...
1  128  [{'type': 'Birthdate', 'value': '1994'}, {'typ...

   pin Name Birthdate Style Colour
0  123    A      1991     C    NaN
1  128    F      1994   NaN      Z
"""