I can't figure out how to get this code to run properly.
df1 = pd.read_csv('TradeSheet2.csv', engine='python', sep=r'\s*,\s*', index_col='Symbol', header=0, encoding='ascii')
buy_sig = df1.loc[df1.Total >= 20]
sell_sig = df1.loc[df1.Total <= -20]
df2 = pd.read_csv('Header_Col.csv', index_col='Symbol')
def create_long():
global df2
dfnewlong = pd.concat([df2, buy_sig]).drop_duplicates(keep=False)
print(dfnewlong)
print(dfnewlong.index)
dfnewlong.set_index('Symbol', inplace=True, drop=False)
dfnewlong['DateTime'] = pd.to_datetime(dfnewlong['DateTime'])
dfnewlong['Long_Short'] = dfnewlong['Long_Short'].fillna('Long')
dfnewlong.Symbol = dfnewlong.Symbol.str.strip()
ticker = dfnewlong['Symbol']
livequote = si.get_live_price(ticker)
dfnewlong['Entry_Price'] = dfnewlong['Entry_Price'].fillna(livequote)
df2 = pd.concat([df2, dfnewlong])
print(df2.columns)
create_long()
I keep getting the error: "KeyError: "None of ['Symbol'] are in the columns"
What I'm trying to accomplish is for the function to pull the stock symbols into the variables, but it doesn't seem to work because the stock symbols are in the index column.
Links to the files being used by the code: https://drive.google.com/file/d/1prqdn9l7wnA5hg2gKqGeubeWLo5kRvI6/view?usp=sharing https://drive.google.com/file/d/1vkFZYBPJqWzjcYPJFKyRHIMLkg5zJ7Oy/view?usp=sharing
Any suggestions ?