title: json_normalize with multiple record paths
body: <p>I'm using the example given in the <code>json_normalize</code> documentation given here <a href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.json_normalize.html" rel="nofollow noreferrer">pandas.json_normalize — pandas 1.0.3 documentation</a>, I can't unfortunately paste my actual JSON but this example works. Pasted from the documentation:</p>
  
  <pre><code>data = [{'state': 'Florida',
       'shortname': 'FL',
       'info': {'governor': 'Rick Scott'},
       'counties': [{'name': 'Dade', 'population': 12345},
                    {'name': 'Broward', 'population': 40000},
                    {'name': 'Palm Beach', 'population': 60000}]},
      {'state': 'Ohio',
       'shortname': 'OH',
       'info': {'governor': 'John Kasich'},
       'counties': [{'name': 'Summit', 'population': 1234},
                    {'name': 'Cuyahoga', 'population': 1337}]}]
  result = json_normalize(data, 'counties', ['state', 'shortname',
                                             ['info', 'governor']])
  result
  
  
           name  population    state shortname info.governor
  0        Dade       12345   Florida    FL    Rick Scott
  1     Broward       40000   Florida    FL    Rick Scott
  2  Palm Beach       60000   Florida    FL    Rick Scott
  3      Summit        1234   Ohio       OH    John Kasich
  4    Cuyahoga        1337   Ohio       OH    John Kasich
  </code></pre>
  
  <p>What if the JSON was the one below instead where <code>info</code> is an array instead of a dict:</p>
  
  <pre><code>data = [{'state': 'Florida',
       'shortname': 'FL',
       'info': [{'governor': 'Rick Scott'}, 
                {'governor': 'Rick Scott 2'}],
       'counties': [{'name': 'Dade', 'population': 12345},
                    {'name': 'Broward', 'population': 40000},
                    {'name': 'Palm Beach', 'population': 60000}]},
      {'state': 'Ohio',
       'shortname': 'OH',
       'info': [{'governor': 'John Kasich'}, 
                {'governor': 'John Kasich 2'}],
       'counties': [{'name': 'Summit', 'population': 1234},
                    {'name': 'Cuyahoga', 'population': 1337}]}]
  </code></pre>
  
  <p>How would you get the following output using <code>json_normalize</code>:</p>
  
  <pre><code>         name  population    state shortname info.governor
  0        Dade       12345   Florida    FL    Rick Scott
  1        Dade       12345   Florida    FL    Rick Scott 2
  2     Broward       40000   Florida    FL    Rick Scott
  3     Broward       40000   Florida    FL    Rick Scott 2
  4  Palm Beach       60000   Florida    FL    Rick Scott
  5  Palm Beach       60000   Florida    FL    Rick Scott 2
  6      Summit        1234   Ohio       OH    John Kasich
  7      Summit        1234   Ohio       OH    John Kasich 2    
  8    Cuyahoga        1337   Ohio       OH    John Kasich
  9    Cuyahoga        1337   Ohio       OH    John Kasich 2
  </code></pre>
  
  <p>Or if there is another way to do it, please do let me know.</p>