#python #json #csv
#python #json #csv
Вопрос:
У меня есть очень странный файл json с большим количеством вложенности в нем. Мне нужно преобразовать его в фрейм данных Pandas. Json выглядит примерно так:
{
"data": {
"page1": {
"last_name": "suraj",
"first_name": "singh",
"dob": "2020-06-02",
"gender": "Male",
"address1": "asdf",
"city": "asdf",
"state": "ID",
"Zip": "34324",
"phone": "2343243242",
"emailaddress": "suraj.singh@fugetroncorp.com",
"ethnicity": "adsf",
"url": " iVBORw0KGgoAAAANSUhEUgAAAVIAAABkCAYAAADUgbjrAAANS0lEQVR4Xu2dXeh1RRXGH EICMwyIy3bt4LjSwkUAnMCwP7oA9SKqKSQkMxk64Ky4Lopu9AhQgqIqKEPsiMSLAgLEFCQcGoyEIJEso yLoqfq8zMez3/I/7/Pee2fPxDBzOef9n75am1njXvc9aaNbP2GXIzAkbACBiBRQicsehu32wEjIARMAIykXoSGAEjYAQWImAiXQigbzcCRsAImEg9B4yAETACCxEwkS4E0LcbASNgBEykngNGwAgYgYUImEgXAujbjYARMAImUs BkRB4jiReJ/Yo/TdJT4bvHx0JHOt6fARMpMfHznfWg8CrJJ0VSPJF4f1lQTzeIc lDXJNX7G/ Lf4799J qWkV0r6mCTk4QUpm5iXWqHS 02klRrGYp0iHzxHSDCSY/Qo4/tJSec0hNVjkn4bCPVrkn7akOwWdQ8CJlJPjy0RgCAvkITXGD1HvMt9LYbeeHd/l/TscPHUM0z7SD3SqXcaiRqPtmS7W9LlJQf0WPkQMJHmw9Y9n44AZHmpJMiSzxBp2iDJB4LHBjHymfcYEvPvEi31gON4UdboDce/T0kaj/PXks4Pof3Z4fN5kl4r6TXhxq9KurqEMh4jPwIm0vwYjzwCJIPH cbwSonzDyG0hRzjKyZ5esEMj/MSSa8O7 j1K0k/kPQZSf/oRdHR9TCRjj4D1tcfTzMlzzhCJE7WBXn1mni5UNKng9JxmeIXku6VdKckPv9nfdjd45YImEi3RL PsfEyY8iO50ko 6yg2s8CaRLG9kqcqHqlpOvCUsVfgv683yoJDEgyuXWMgIm0Y NmUg3iZJ0zJojS5BBe55clPRQItLdQfQrpNZLekKx7/lDSLZJ ExJhmUzgbmtDwERam0Xqkoc1zjQ5NN2TmYbrcZ2zLg3ySPNWSdeGpNm3JD3lxFEeoFvp1UTaiqXKyQlZvivJrKcjPxgSQ6xxjkScEQOWLm4M2IDBxyU9LOmJcubxSDUiYCKt0SrbyPTuQBLxRBBSsL4HYcYEUe h lHIs3zxubAGyhatz4fXNpbyqNUhYCKtziTFBYIkvpLs6YQ8SQ59LzlzXlyoSgbkR4U1TzxRljHABRId9QelErPUJ4aJtD6blJQILxQSpRG2f8DHFk9hQUINAgUfGiF87zsPSs677sYykXZn0tkK4Vmx3kfjhA1EMXojuQYm/KDwGe cz6VOVI2Of7P6m0ibNd0iwalKhMfFeh9eF2H86I3wHe8cAiWMBxcXFRl9VszU30Q6E6iOLmNN9J6gz2Umi1NhPAQa98PeFLxzr4N2NOlzq2IizY1wXf1zfPH INL1km6rS7zi0kTPnIG/H4qMOIwvbob2BzSRtm/DQzTgGCPHFglZ8UZHbelOBcJ4CNVrxKPOhhX0NpGuAGJDXRDSQyJkoSGP0Rrrn6wNk0CiUVyZzw7jR5sJK trIl0Z0Mq7G5lISSbFTfVOJlU UVsTz0TamsWWyRvXBEfySNM9oexSIIQHB3uhy aS704QMJGONR3eE6ozkVBhjbR3MiFsJ5SPe0LZ0tRzOb xZnNF2ppIKzJGAVEgFMJ7jj5SvehLBcbcYgjWgSFQ3r1XdgsLDDamiXQwg0v6YFLB/SpJd3QGAaE7NUKZ2w7jOzNureqYSGu1TF65YtKJyu03dHKyiRqhtydhPOugPpmUdx6594CAiXTcqUAVe550SWs5 ZTWCH1c0s3eEzrupN5KcxPpVshvP 4Vku5KxHhE0tsaKtDBOi8FRiBS1n7ZExqrNW2PriUYCgET6VDmPk1Zwl9OO/HAOhpZfP72hYphiZvqIU1XaKrYUCOJZiIdydq7dT0ZapGemXzN9qg3VbZVCNLkESgQPZ/JxrO9yUc7PYc3R8BEurkJqhCAMBlC4nn0aYOoavBOkYMwns31NGTypvoqpo6FAAETqedBikBaDSn nQ3sFH7eIgOeHutEHhda9nytEgETaZVm2VQoNrFTPX/qnUKk1OosUWYu3VAPGDwGBZJ3AepNp4YHPwoBE6nnxi4EWIMknOZ11uQCCBWipX7n2o1xKbKMJ0rzOujaCLu/LAiYSLPA2k2nrEniCZLkmTZCftZV2Xa0xvl1SJvqTLF5HbSbadS/IibS/m28hob7CJX CfchVbzUQ0mVRBdeKO80V6pfw2LuoygCJtKicDc/GITK/k1eJ47Q5hBShXyjt saoc1Pj3EVMJGOa/ulmuNBQqisZ 4j1biempbs497vejvTUhP4/loQMJHWYom25cBThVDJtlN5aVeL66nxbDzX2Att2 6WPiBgIvVUyIEAhBqJdbqNivH JelTgz43Kgfe7nNjBEykGxtggOFfGoosv3miK0kpwv4aTk4NYAarmBMBE2lOdN339GTShyU9FdZWWQ5gj ofJX00nFo6NONvhI1AFQiYSKswQ3dCQJIkk KWJtZCIdX0VBTfvU7Se0OyimQUm/2pjVri9FR3oFuh7RAwkW6HfY8jT58bj46cj4dE9z1oj8347ACI66kQKQcBuLf3B/T1OA G08lEOpzJsykMEXIyCTKNjfVPSHJuw0uFQGPmn1A/eqkO ei6OuKI2AiLQ55dwOSoYdAYxiPgkvPyO8665/zjH93RrFCZREwkZbFu6fRIDsIdPp4Dyo1Ecqv5UHSP15tDPtjtp8z/g77e5pRDetiIm3YeBuKviuMR5ychUbwfBk3HimFRCmrR3JqLdLeEFIP3TICJtKWrVde9mmBkVQCHk1Sol4oOwLwUNOjqYT98eRUeVQ84vAImEiHnwKzACCM51EfJIKmbe1QfpZA4aJdYT EimfssP8QJH3tIgRMpIvgG JmvFDWQgmtp62WRyAjI16qw/4hpmR9SppI67NJTRLh8VErdNrIyvNdiVD EDximb 0sj8y4qFu8cypQ2T3tQ0jYCJt2HiZRYeAdlVyIpSHRGs/fTQN 719KvOEGbl7E nI1t tO uh90z2hcYrc2blc1mCJQk81PijwA8Amf7avOlc rvfAgiYSAuA3NAQ04LLUXRCeSo17Uo2taJezPaTNKPFSv6uPtWKBSuW00RasXEKi8Z2ItZD0yOeiEDBETy6Xjy4eGoKfdnkzx7UeK7f 1ELT7pehjOR9mLJZXpAlLfsINEttzYt0 iZ74ZQ3yLp5lB9Kp7rZyeCE1PPjJ vSBAwkXo64I1BotM2p2pTL jFB/pdGhSKp6bwwl2BqhcrZ9TDRJoR3Aa6Tp/imYp7aNWmBlSdJeJRT0kFJ0iVR0W7GYHTEDCRjjspjtredHU4bjkuMk9rTuKNddT00dOE/Dc1sPVrdNsV199EWhzyzQdkbZDq9btOKplEd5sHrFgCiaE/a8rO9m8 lesRwERajy1KSHLUHlG2N F9Ocmy3woQKITKs6bYi9rydrAS822YMUykw5hazw9rfK YqLzreUrjoHK4pninHFigmUwPx6/LO0ykXZp1p1K3Srpu8k3P25tyWjYl07dL mbOwdx3/QiYSOu30RoSXiHprklHI21vWgPDaR9XSvqIpH9K4jHTXhbJgXIjfZpIGzHUAjFfLuk7ktjaE9s7JX19QZ 9WkESDi9X9J9ki4yKOMiYCLt3/Zstk TIldJ okLH69i JOSfhx pF4v6c5VenUnzSFgIm3OZAcJ/AJJjyV3ODlyEHyzLv6ipBvC3lu2j7kNiICJtG jp8c/75Z0ed/qbqJduv7s/0 bmGD7QW347W2QS4LzJD2cdH6ZEyJZoE4z MY4C8T1d2oird9Gx5WQo4yfDTffJun643bk /YiQBLv9 GKF/vR0GPOFhNpn3Y/V9K3JV0c1LOnlNfO/zWR5gW49t5NpLVb6HjyfUjSJ8Otd0giU WB4ELJd1vIs0Dbiu9mkhbsdR8OfFC700uP0fSn bf7isPRCAuoVAYmtDebUAETKT9GZ2QnlM3tHdI kZ/KlalEevQkOlfJT23KsksTDEETKTFoC420EOSzg8Z 5cUG3XcgShgEksS v/ToPPAhu/T8OwfdYm3Mrb9s6SzJT0h6XllhvQotSFgIq3NIpanNQRINJFwYs uI4DWrLeSvCbSlYB0N8Mi8LgkEnom0mGngGQiHdj4Vn0xAumpJsrosV/XbUAETKQDGt0qr4bA yTdHnozka4Ga3sdmUjbs5kl3hYBjoTyEDye38STRmPjCC5Hcd0GRMBEOqDRrfJsBCBNXhcE0iSUTwtkx44oVfjC2b36wu4QMJF2Z9JmFeIJp0 uIH0kuhOS6JMXLf28a5h4H 9cm3qb 8T6eTiO 6MVZHcXjSJgIm3UcJ2JDXFxMmhfS0mWz5Eg4z3Tf eEiCevPhDO2H8i50Duuw0ETKRt2Kl3KecQ6VwM/i3pzLkXz7yOBwVCnLxIKnGu3s0I/B8BE6knQy0IxNA 9SxjmL1PxkhqeKmp15qG9NPQnu O6jv2Q78Q5xrLDbVgbDkyIWAizQSsuzUCRmAcBEyk49jamhoBI5AJARNpJmDdrREwAuMgYCIdx9bW1AgYgUwImEgzAetujYARGAeB/wEMT 10S9jf7wAAAABJRU5ErkJggg==",
"meds": [
[
"asdf"
]
],
"guardian": false,
"guardianName": "N/A",
"optout": false,
"currentDate": "06-30-2020",
"values": [
{
"value": "asdf"
}
]
}
Как я могу создать правильный структурированный фрейм данных, используя это, чтобы я мог экспортировать его в CSV для лучшего понимания.
Комментарии:
1. Поможет ли это geeksforgeeks.org/convert-json-to-csv-in-python
2. Да, но мне нужно сначала использовать фреймы данных перед добавлением в CSV.