from sklearn.preprocessing import StandardScaler
    sc_X = StandardScaler()
    X_train = sc_X.fit_transform(X_train)
    X_test = sc_X.transform(X_test)
    sc_y = StandardScaler()
    y_train = sc_y.fit_transform(y_train)

    # Fitting the Regression Model to the dataset
    from sklearn.ensemble import RandomForestRegressor
    regressor = RandomForestRegressor(n_estimators = 500, random_state = 0)
    regressor.fit(X_train,y_train)


    # Predicting a new result
    y_pred = regressor.predict(X_test)
    y_pred = sc_y.inverse_transform(regressor.predict(sc_X.transform(
            np.array(X_test))))

    y_pred = np.reshape(y_pred, (366, 1))
    y_diff = y_pred - y_test
    y_diff_max = max(y_diff)
    y_diff_st = np.std(y_diff)

I use this for next year data but i want to enter any future date from this to onward, want future prediction data
import numpy as np

arr = np.array([list(range(365+1))])

arr = 1826+arr
arr =np.reshape(arr,(366,1))
y_pred_arr = regressor.predict([[1845]])