Nested lists throwing error

[collinarnett]

Currently I have the code:

# Data is a list with dictionary elements which in turn have nested lists, so we turn the first list layer into a dictionary.
jira_data = { i : jira_data[i] for i in range(0, len(jira_data) ) }
jira_flatten = (flatten(d) for d in jira_data)
jira_df = pd.DataFrame(jira_flatten)

the last line errors with the following:

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-17-75a3a8fe964c> in <module>()
----> 1 jira_df = pd.DataFrame(jira_flatten)

~/anaconda3/envs/python3/lib/python3.6/site-packages/pandas/core/frame.py in __init__(self, data, index, columns, dtype, copy)
    362         elif isinstance(data, (list, types.GeneratorType)):
    363             if isinstance(data, types.GeneratorType):
--> 364                 data = list(data)
    365             if len(data) > 0:
    366                 if is_list_like(data[0]) and getattr(data[0], 'ndim', 1) == 1:

<ipython-input-16-1cf0d677c973> in <genexpr>(.0)
----> 1 flatten_jira = (flatten(d) for d in jira_data)

~/anaconda3/envs/python3/lib/python3.6/site-packages/flatten_json.py in flatten(nested_dict, separator, root_keys_to_ignore)
     32     :return: flattened dictionary
     33     """
---> 34     assert isinstance(nested_dict, dict), "flatten requires a dictionary input"
     35     assert isinstance(separator, str), "separator must be a string"
     36 

AssertionError: flatten requires a dictionary input

[kaiaeberli]

in your case jira_data keys will be integers, which you then try to flatten, which will throw an exception.