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#import required packages
from datetime import datetime
import pandas as pd
import numpy as np
import requests

#get data from quantapi csv format
def get_quantapi(symbol, token, duration, format):
	query = 'https://quantapi.co/api/' + symbol + '/' + token + '/?d=' + duration + '&f=' + format
	r = requests.get(query)
	lines = r.text.splitlines()
    
    #get first line as column names
	for names in lines[0:1]:
		name = names.split(',')
        
	columns = name
	records = []
	for price in lines[1:]:
		cols = price.split(',')
		date = datetime.strptime(cols[0], '%Y-%m-%d')
		open = float(cols[1])
		high = float(cols[2])
		low = float(cols[3])
		close = float(cols[4])
		records.append(date)
		records.append(open)
		records.append(high)
		records.append(low)
		records.append(close)
	df = pd.DataFrame.from_records(np.array(records).reshape(int(len(records)/len(columns)), len(columns)), columns = columns)        
	df = df.sort_values('date', ascending = True)
	print(df)
	return df    
    
#sample code to get gold price
symbol = 'gold'
token = '123456789xyz'
duration = '1m'
format = 'csv'
df = get_quantapi(symbol, token, duration, format)

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#import required packages
import pandas as pd

#get data from quantapi json format
def get_quantapi(symbol, token, duration, format):
	query = 'https://quantapi.co/api/' + symbol + '/' + token + '/?d=' + duration + '&f=' + format
	df = pd.read_json(query)
	df = df[['date', 'open', 'high', 'low', 'close']]
	df = df.sort_values('date', ascending = True)
	print(df)
	return df
    
#sample code to get gold price
symbol = 'gold'
token = '123456789xyz'
duration = '1m'
format = 'json'
df = get_quantapi(symbol, token, duration, format)

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#import required packages
from datetime import datetime
import pandas as pd
import numpy as np
import requests

#get data from quantapi csv format
def get_quantapi(symbol, token, code, duration, format):
	query = 'https://quantapi.co/api/' + symbol + '/' + token + '/?d=' + duration + '&f=' + format + '&q=' + code
	r = requests.get(query)
	lines = r.text.splitlines()
    
    #get first line as column names
	for names in lines[0:1]:
		name = names.split(',')
        
	columns = name
	records = []
	for price in lines[1:]:
		cols = price.split(',')
		date = datetime.strptime(cols[0], '%Y-%m-%d')
		open = float(cols[1])
		high = float(cols[2])
		low = float(cols[3])
		close = float(cols[4])
		volume = cols[5]
		records.append(date)
		records.append(open)
		records.append(high)
		records.append(low)
		records.append(close)
		records.append(volume)
	df = pd.DataFrame.from_records(np.array(records).reshape(int(len(records)/len(columns)), len(columns)), columns = columns)        
	df = df.sort_values('date', ascending = True)
	print(df)
	return df    
    
#sample code to get hkex price
symbol = 'hkex'
token = 'You token here'
duration = '1m'
format = 'csv'
code = '3988'
df = get_quantapi(symbol, token, code, duration, format)

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#import required packages
import pandas as pd

#get data from quantapi json format
def get_quantapi(symbol, token, code, duration, format):
	query = 'https://quantapi.co/api/' + symbol + '/' + token + '/?d=' + duration + '&f=' + format + '&q=' + code
	df = pd.read_json(query)
	df = df[['date', 'open', 'high', 'low', 'close', 'volume']]
	df = df.sort_values('date', ascending = True)
	print(df)
	return df
    
#sample code to get hkex stock price
symbol = 'hkex'
token = 'You token here'
duration = '1m'
format = 'json'
code = '3988'
df = get_quantapi(symbol, token, code, duration, format)