from __future__ import print_function
import time
import intrinio_sdk
from intrinio_sdk.rest import ApiException
from pprint import pprint
intrinio_sdk.ApiClient().configuration.api_key['api_key'] = 'YOUR_API_KEY'
crypto_api = intrinio_sdk.CryptoApi()
exchange = 'gemini' # str | Returns stats for Crypto Currencies that trade on the specified Crypto Exchange. (optional)
currency = 'BTC' # str | Returns stats for the specified Crypto Currency. (optional)
try:
api_response = crypto_api.get_crypto_stats(exchange=exchange,
currency=currency)
stats = api_response.stats
print("%s stats found!" % (len(stats)))
for stat in stats:
print("Name: %s" % (stat.name))
print("Code: %s" % (stat.code))
print("Symbol: %s" % (stat.symbol))
print("Market cap(USD): %s" % (stat.market_cap_usd))
print("Available supply: %s" % (stat.available_supply))
print("Total supply: %s" % (stat.total_supply))
print("Max supply: %s" % (stat.max_supply))
print("Last updated: %s" % (stat.last_updated))
print("")
except ApiException as e:
print("Exception when calling CryptoApi->get_crypto_stats: %s\n" % e)
def crypto(request):
crypto_api = intrinio_sdk.CryptoApi()
timeframe = 'd1' # str | The time interval for the prices. (default to d1)
# str | Return prices for the given Crypto Currency Pair. (optional)
pair = 'btcusd'
# str | Return prices for a Crypto Currency on the given Crypto Exchange. (optional)
exchange = 'binance'
# str | Return prices for the given Crypto Currency. (optional)
currency = 'BTC'
# str | Return price date/times in this timezone, also interpret start/end date/time parameters in this timezone. (optional) (default to UTC)
timezone = 'UTC'
# date | Return Crypto Prices on or after this date. (optional)
start_date = datetime.today() - timedelta(days=200)
# str | Return Crypto Prices at or after this time (24-hour). (optional)
start_time = ''
# date | Return Crypto Prices on or before this date. (optional)
end_date = datetime.today() - timedelta(days=1)
# str | Return Crypto Prices at or before this time (24-hour). (optional)
end_time = ''
# int | An integer greater than or equal to 1 for specifying the number of results on each page. (optional) (default to 100)
page_size = 100
# str | Gets the next page of data from a previous API call (optional)
next_page = ''
try:
api_response = crypto_api.get_crypto_prices(
timeframe,
pair=pair,
exchange=exchange,
currency=currency,
timezone=timezone,
start_date=start_date,
start_time=start_time,
end_date=end_date,
end_time=end_time,
page_size=page_size,
next_page=next_page)
crypto_dict = api_response.prices_dict
datos = pd.DataFrame(crypto_dict)
f = plt.figure()
ax = f.add_subplot(111)
# TENGO QUE CAMBIAR LA FORMA EN LA QUE MUESTRA LAS FECHAS EL GRÁFICO
ax.plot(datos['time'], datos['close'])
ax.xaxis.set_major_locator(plt.MaxNLocator(8))
ax.legend(['Value of a Bitcoin in USD'])
plt.ylabel('Value', fontsize=10)
plt.xlabel('Date', fontsize=10)
ax.tick_params(labelsize=7, width=3)
# plt.tight_layout()
# Como enviaremos la imagen en bytes la guardaremos en un buffer
buf = io.BytesIO()
canvas = FigureCanvasAgg(f)
canvas.print_png(buf)
# Creamos la respuesta enviando los bytes en tipo imagen png
response = HttpResponse(buf.getvalue(), content_type='image/png')
# Limpiamos la figura para liberar memoria
f.clear()
# Añadimos la cabecera de longitud de fichero para más estabilidad
response['Content-Length'] = str(len(response.content))
# Devolvemos la response
return response
# return render(request, 'stock_tracker/table.html', {'datos': datos.to_html})
except ApiException as err:
return HttpResponse('Ha ocurrido un error {}'.format(err))