players_personal['awards'] = players_personal['awards'].apply(lambda x: json.loads(x))
# Create an empty DataFrame to store the unpacked awards
awards_df = pd.DataFrame()
# Loop through each player's awards dictionary
for index, row in players_personal.iterrows():
    awards_dict = row['awards']
    player_name = row['player_name']
    
    # Loop through the awards and their respective years
    for year, awards_list in awards_dict.items():
        for award in awards_list:
            # Create a column with the award name and set the year as its value
            awards_df.at[index, award.lower().replace(' ', '_')] = year
# Merge the unpacked awards DataFrame with the original player DataFrame
result_df = pd.merge(players_personal, awards_df, left_index=True, right_index=True)
# Drop the 'awards' column since it's no longer needed
result_df = result_df.drop(columns=['awards'])

import pandas as pd
dat1 = [{'player_name': row.player_name, 'award': award, 'date': date} 
        for row in df.itertuples() 
           for date, awards in row.awards.items() for award in awards]
pd.DataFrame(dat1).pivot('player_name', 'award', 'date').T

<details>
<summary>英文:</summary>
Here is one way. Note that I `T` transposed the data to make it visible here. You can get rid of the `T` at the very end
    import pandas as pd
    
    dat1 = [{&#39;player_name&#39;:row.player_name, &#39;award&#39;: award, &#39;date&#39;: date} 
                for row in df.itertuples() 
                   for date, awards in row.awards.items() for award in awards]
    
    pd.DataFrame(dat1).pivot(&#39;player_name&#39;, &#39;award&#39;, &#39;date&#39;).T
    player_name                             Rafael Khakimov Sergei Belov
    award                                                               
    MHL All-Star Game                             2010-2011          NaN
    MHL Best GAA (1.79)                           2010-2011          NaN
    MHL Best Goaltender                           2010-2011          NaN
    MHL Goaltender of the Month (February)        2010-2011          NaN
    MHL Goaltender of the Month (September)       2010-2011          NaN
    Russia2 Silver Medal                                NaN    2009-2010
    VHL Goaltender of the Month (November)        2021-2022          NaN
    VHL Playoffs Best GAA (1.39)                  2017-2018          NaN
    VHL Silver Medal                                    NaN    2013-2014
</details>
# 答案2
**得分**: 0
另一个版本：
```py
df['awards'] = df['awards'].apply(lambda x: {v[0]: k for k, v in x.items()})
df = pd.concat([df, df.pop('awards').apply(pd.Series)], axis=1)
print(df)

       player_name Russia2 Silver Medal VHL Silver Medal MHL All-Star Game VHL Playoffs Best GAA (1.39) VHL Goaltender of the Month (November)
0     Sergei Belov            2009-2010        2013-2014               NaN                          NaN                                    NaN
1  Rafael Khakimov                  NaN              NaN         2010-2011                    2017-2018                              2021-2022