geojson to json --missing multiple row output

[snippsat]

I would take thought Pandas first with use json_normalize(),then use df.to_csv(index=False).

import pandas as pd
from pprint import pprint
import json

with open('zz.json') as f:
    data = json.loads(f.read())

#df = pd.read_json('attachment.json', orient='index')
df = pd.json_normalize(data, record_path=['features'])
pprint(df)

html_out = df.to_html(index=False)

       type  ...                       geometry.coordinates
0   Feature  ...   [-168.93819999971066, 53.75961000002098]
1   Feature  ...  [-156.47280000002033, 20.898610000380238]
2   Feature  ...  [-146.34639999974192, 61.124730000130796]
3   Feature  ...   [-164.53890000013152, 67.71917999998502]
4   Feature  ...  [-117.17840000026474, 32.708209999763774]
5   Feature  ...   [-122.21401199961349, 37.50536000026958]
.... ect

So it want dispaly all,could fix this but i also save to Html.
There is also Foundation import that you don't see so then the table look better.
Html output of zz.json Features

print(df.to_csv(index=False))

Output:
type,properties.OBJECTID_1,properties.OBJECTID,properties.ID,properties.PORT,properties.PORT_NAME,properties.GRAND_TOTA,properties.FOREIGN_TO,properties.IMPORTS,properties.EXPORTS,properties.DOMESTIC,geometry.type,geometry.coordinates

Feature,1,1,124,C4947,"Unalaska Island, AK",1652281,1236829,426251,810578,415452,Point,"[-168.93819999971066, 53.75961000002098]"

Feature,2,2,85,C4410,"Kahului, Maui, HI",3615449,20391,20391,0,3595058,Point,"[-156.47280000002033, 20.898610000380238]"

Feature,10,10,27,C4816,"Valdez, AK",25807750,249648,0,249648,25558102,Point,"[-146.34639999974192, 61.124730000130796]"

Feature,11,11,130,C4978,"Kivilina, AK",1359589,3367,3367,0,1356222,Point,"[-164.53890000013152, 67.71917999998502]"
.... ect