중첩된 JSON 데이터를 Pandas DataFrame으로 가져오고 처리하는 방법은 무엇입니까?

<code class="json">{
    "number": "",
    "date": "01.10.2016",
    "name": "R 3932",
    "locations": [
        { ... },
        { ... },
        { ... }
    ]
}</code>

<code class="python">import pandas as pd

with open('myJson.json') as data_file:    
    data = json.load(data_file)  

df = pd.json_normalize(data, 'locations', ['date', 'number', 'name'], 
                    record_prefix='locations_')
print (df)</code>

<code class="python">df = pd.read_json("myJson.json", orient='records', parsing = True)</code>

<code class="python">df = pd.read_json("myJson.json", orient='records',
                  constructor=lambda x: pd.DataFrame(x['locations']))</code>

<code class="python">df = df.groupby(['date', 'name', 'number'])['locations'].apply(','.join).reset_index()</code>