Oct-24-2020, 02:40 PM
def compile_data():
with open("dict.pickle","rb") as f:
tickers = pickle.load(f)
main_df = pd.DataFrame()
for count,ticker in enumerate(tickers):
df = pd.read_csv(r'C:\Users\User\Desktop\StockProject\5 stocks/{}.csv'.format(ticker))
df.set_index('date', inplace=True)
df.rename(columns={'close':ticker}, inplace=True)
df.drop(['no','ticker','name','per','open','high','low','volume','o/i'],1, inplace=True)
if main_df.empty:
main_df = df
else:
main_df = main_df.join(df, how='outer')
print(main_df.head())
main_df.to_csv('lastcombine.csv')
compile_data()
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can someone help me with this problem? im trying to combine all 5 stock of historical prices into one but the output was not what am expected it to be. the date and close price went crazy.
with open("dict.pickle","rb") as f:
tickers = pickle.load(f)
main_df = pd.DataFrame()
for count,ticker in enumerate(tickers):
df = pd.read_csv(r'C:\Users\User\Desktop\StockProject\5 stocks/{}.csv'.format(ticker))
df.set_index('date', inplace=True)
df.rename(columns={'close':ticker}, inplace=True)
df.drop(['no','ticker','name','per','open','high','low','volume','o/i'],1, inplace=True)
if main_df.empty:
main_df = df
else:
main_df = main_df.join(df, how='outer')
print(main_df.head())
main_df.to_csv('lastcombine.csv')
compile_data()
.
.
.
can someone help me with this problem? im trying to combine all 5 stock of historical prices into one but the output was not what am expected it to be. the date and close price went crazy.