INNER CODE UNIT · Python
create_dataset
hofmannj0n/introduction-to-quantitative-finance-in-python · autoML.py:10
def create_dataset(stock, start_date, end_date):
stock_list = [stock]
data = yf.download(tickers=stock_list, start=start_date, end=end_date)
data = data.drop('Adj Close', axis=1)
data['Ticker'] = stock
data = data.dropna()
return data
# cache the conversion to prevent computation on every rerun
@st.cache_data
def convert_df(df):
return df.to_csv().encode('utf-8')
with st.sidebar:
choice = st.radio('Select one:', [
'Tutorial',
'Data Selection',
'Data Visualization',