Why I get different output when I run the same code but different name?

Question

When I run my code using print(xdata[0:1, 0:1, :])I got the fist line of array but when i run using print(state) I got a line of array which contain in xdata but I don't know why I got that .

def load_data(test=False):
    #prices = pd.read_pickle('data/OILWTI_1day.pkl')
    #prices = pd.read_pickle('data/EURUSD_1day.pkl')
    #prices.rename(columns={'Value': 'close'}, inplace=True)
    prices = pd.read_pickle('D:\data/XBTEUR_1day.pkl')
    prices.rename(columns={'Open': 'open', 'High': 'high', 'Low': 'low', 'Close': 'close', 'Volume (BTC)': 'volume'}, inplace=True)

    x_train = prices.iloc[-2000:-300,]
    x_test= prices.iloc[-2000:,]
    if test:
        return x_test
    else:
        return x_train

def init_state(indata, test=False):
    close = indata['close'].values
    diff = np.diff(close)
    diff = np.insert(diff, 0, 0)
    sma15 = SMA(indata, timeperiod=15)
    sma60 = SMA(indata, timeperiod=60)
    rsi = RSI(indata, timeperiod=14)
    atr = ATR(indata, timeperiod=14)

    #--- Preprocess data
    xdata = np.column_stack((close, diff, sma15, close-sma15, sma15-sma60, rsi, atr))

    xdata = np.nan_to_num(xdata)
    if test == False:
        scaler = preprocessing.StandardScaler()
        xdata = np.expand_dims(scaler.fit_transform(xdata), axis=1)
        joblib.dump(scaler, 'D:\data/scaler.pkl')
    elif test == True:
        scaler = joblib.load('D:\data/scaler.pkl')
        xdata = np.expand_dims(scaler.fit_transform(xdata), axis=1)
    state = xdata[0:1, 0:1, :]

    return state, xdata, close

indata = load_data(test=True)
A = init_state(indata, test=False)
print(xdata[0:1, 0:1, :])

Sven Marnach · Accepted Answer · 2017-09-05 13:06:04Z

1

You are not storing your return values in a reasonable way. You store all three values to A, and then access xdata. It's unclear why the latter is even defined at the global scope, and if it is, it's just some left-over from elsewhere. Use state, xdata, close = init_state(...) instead of A = ..., and everything should work like exepected.

answered Sep 5, 2017 at 13:06

Sven Marnach

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1 Comment

Papadoojha Over a year ago

Thank you so much you save my time.

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