I am trying to gather stock data on an Numpy Array in which the dates of the stock prices are in the first column. When I turn the data directly into an array I will get [ 30.99 32.08 32.12 ... 318.66 315.77 323.5 ] here is my code below.
import numpy as np
import yfinance as yf
def price(ticker):
company = yf.Ticker(ticker)
price = company.history(period="10y")
array = np.array(price)
return array
aapl = price("AAPL")
Aaple = aapl[:, 0]
If I use a dataframe I will get this
def price(ticker):
company = yf.Ticker(ticker)
price = company.history(period="10y")
df = pd.DataFrame(price)
df.drop(df.columns[i], axis=1)
return df
aapl = price("AAPL")
print(aapl)
Open High Low Close Volume Dividends Stock Splits
Date
2010-05-27 30.99 31.40 30.81 31.33 166570600 0.00 0.0
2010-05-28 32.08 32.08 31.33 31.77 203903700 0.00 0.0
... ... ... ... ... ... ... ...
2020-05-22 315.77 319.23 315.35 318.89 20450800 0.00 0.0
2020-05-26 323.50 324.20 316.50 316.73 30880340 0.00 0.0
I can reset the dataframes index df.reset_index() and be able to access the dates. How come I cannot access dates in the array, what is the fix? I do not want to use dataframes since arrays are much faster.