To obtain the information you seek:
I use the a variable called kline and a json formatted request.
It looks like this:
kline = requests.get(url + '/api/v1/market/candles?type=1min&symbol="+Cry+"&startAt=1566703297&endAt=1566789757')
# Then I convert it to json
kline = kline.json()
# turn that into a dataframe where I pull the data dictionary
kline = pd.DataFrame(kline['data'])
# Then I rename the columbs as so
kline = kline.rename({0:"Time",1:"Open",
2:"Close",3:"High",4:"Low",5:"Amount",6:"Volume"}, axis="columns")
# Set the index as time
kline.set_index('Time', inplace=True)
# To assist I will call the head and and print for you
kline.head()
print(kline)
As you should know, once you have it as a dataframe you can manipulate it as you please.
