Data sample:
import pandas as pd
patients_df = pd.read_json('C:/MyWorks/Python/Anal/data_sample.json', orient="records", lines=True)
patients_df.head()
//in python
//my json data sample
"data1": {
"id": "myid",
"seatbid": [
{
"bid": [
{
"id": "myid",
"impid": "1",
"price": 0.46328014,
"adm": "adminfo",
"adomain": [
"domain.com"
],
"iurl": "url.com",
"cid": "111",
"crid": "1111",
"cat": [
"CAT-0101"
],
"w": 00,
"h": 00
}
],
"seat": "27"
}
],
"cur": "USD"
},
What I want to do is to check if there is a "cat" value in my very large JSON data. The "cat" value may/may not exist, but I'm trying to use Python Pandas to check it.
for seatbid in patients_df["win_res"]:
for bid in seatbid["seatbid"]:
I tried to access JSON data while writing a loop like that, but it's not being accessed properly. I simply want to check if "cat" exist or not.