Passing Values of Dictionaries to Function & Unable to Access Them

[firebird]

Hi Yoriz, thank you for the reply and help. I tried some reworking the script in the hope of making changes based on your suggestion (i hope i did). I am getting the following error message

Error:
Traceback (most recent call last):
  File "C:\Users\bgeor\Desktop\multiEMAs.py", line 24, in <module>
    ema_val = ExpMovingAverage(val, 3)
  File "C:\Users\bgeor\Desktop\multiEMAs.py", line 16, in ExpMovingAverage
    a =  np.convolve(values, weights, mode='full')[:len(values)]
  File "C:\Users\bgeor\AppData\Local\Programs\Python\Python37-32\lib\site-packages\numpy\core\numeric.py", line 1114, in convolve
    return multiarray.correlate(a, v[::-1], mode)
TypeError: Cannot cast array data from dtype('float64') to dtype('<U32') according to the rule 'safe'

in the reworked version i removed the lines

get_curprices = lambda:stockdata()[0]
#getting dataset of current prices into a dictionary
dict_curprices = {}
dict_curprices.update(get_curprices())
 
get_openprices  = lambda:stockdata()[1]
#getting dataset of open prices into a dictionary
dict_openprices = {}
dict_openprices.update(get_openprices())

as it seems they won't affect the result i'm after
This is the new version:

import numpy as np
import pandas as pd
from yahoofinancials import YahooFinancials

stocks = ['AAPL', 'MSFT', 'TSLA']

def stockdata():
    yahoo_financials = YahooFinancials(stocks)
    price = yahoo_financials.get_current_price()
    Open = yahoo_financials.get_open_price()
    return price, Open

def ExpMovingAverage(values, window):
    weights = np.exp(np.linspace(-1., 0., window))
    weights /= weights.sum()
    a =  np.convolve(values, weights, mode='full')[:len(values)]
    a[:window] = a[window]
    return a

if __name__ == "__main__":
    dF = pd.DataFrame(stockdata())
    data = dict(dF)
    for val in data.keys():
        ema_val = ExpMovingAverage(val, 3)
        print(ema_val, key)