I have the market information as a string like this:
{"POLISUSDT": {"name": "POLISUSDT", "min_amount": "0.5", "maker_fee_rate": "0.003", "taker_fee_rate": "0.003", "pricing_name": "USDT", "pricing_decimal": 4, "trading_name": "POLIS", "trading_decimal": 8}, "XPRBTC": {"name": "XPRBTC", "min_amount": "100", "maker_fee_rate": "0.003", "taker_fee_rate": "0.003", "pricing_name": "BTC", "pricing_decimal": 10, "trading_name": "XPR", "trading_decimal": 8}, "PSPUSDT": {"name": "PSPUSDT", "min_amount": "5", "maker_fee_rate": "0.003", "taker_fee_rate": "0.003", "pricing_name": "USDT", "pricing_decimal": 4, "trading_name": "PSP", "trading_decimal": 8}, "KAVAUSDT": {"name": "KAVAUSDT", "min_amount": "0.5", "maker_fee_rate": "0.003", "taker_fee_rate": "0.003", "pricing_name": "USDT", "pricing_decimal": 4, "trading_name": "KAVA", "trading_decimal": 8}, "CFXUSDT": {"name": "CFXUSDT", "min_amount": "10", "maker_fee_rate": "0.003", "taker_fee_rate": "0.003", "pricing_name": "USDT", "pricing_decimal": 6, "trading_name": "CFX", "trading_decimal": 8}}
I want the information of each market, separately. For example, if I call "POLISUSDT", I want to get this data frame :
| min_amount | maker_fee_rate | taker_fee_rate | pricing_name | pricing_decimal | trading_name | trading_decimal |
|---|---|---|---|---|---|---|
| 0.5 | 0.003 | 0.003 | USDT | 4 | POLIS | 8 |
Please note I found some issues in parsing your json - there is an extra } just before the message field.
Leaving that aside, if you have the str representation of your json (let's call it json_str), you can load it in a big dataframe using:
import pandas as pd
dt = pd.read_json(json_str).transpose()
In this part of the code, you should drop the columns you are not interested in.
You can access any element using:
dt.loc[["POLISUSDT"]]