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Given the following text problem statement, write Python code to implement the functionality described below in problem statement
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Problem:
I have a pandas series which values are numpy array. For simplicity, say
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Python Code:
import pandas as pd
import numpy as np
series = pd.Series([np.array([1,2,3,4]), np.array([5,6,7,8]), np.array([9,10,11,12])], index=['file1', 'file2', 'file3'])
def g(s):
    return pd.DataFrame.from_records(s.values,index=s.index).reset_index().rename(columns={'index': 'name'})
df = g(series.copy())
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