刚学python小白的疑惑

　　import talib
　　from jqdata import *
　　test_stock=＂600600.XSHG＂
　　start_date= datetime.date(2012,1,4)
　　end_date= datetime.date(2019,1,2)
　　trading_days= list(get_all_trade_days())
　　start_date_index=trading_days.index(start_date)
　　end_date_index=trading_days.index(end_date)
　　x_all=[]
　　y_all=[]
　　for index in range(start_date_index,end_date_index): start_day=trading_days[index-30] end_day=trading_days[index] stock_data=get_price(test_stock,start_date=start_day,end_date=end_day,frequency=＂daily＂,fields=[＂close＂]) close_prices=stock_data[＂close＂].values ma_data=talib.MA(close_prices)[-2] rsi_data=talib.RSI(close_prices)[-2] mom_data=talib.MOM(close_prices)[-2] features=[] features.append(ma_data) features.append(rsi_data) features.append(mom_data) label=False
　　if close_prices[-1]>close_prices[-2]: label=True
　　x_all.append(features) y_all.append(label)
　　x_train=x_all[: -1]
　　y_train=y_all[: -1]
　　x_test=x_all[-1]y_test=y_all[-1]print(＂数据已准备好了＂)
　　from sklearn.ensemble import RandomForestClassifier
　　clf=RandomForestClassifier()
　　clf.fit(x_train,y_train)
　　prediction = clf.predict(x_test)
　　if prediction==y_test :
　　print(＂预测正确＂)
　　else:
　　print(＂预测错误＂)
　　现在就是出错的提示，因为我是头条新手，排版很乱，不能按原来的格式
　　ValueError Traceback (most recent call last) in 5 clf.fit(x_train,y_train) 6 ----> 7 prediction = clf.predict(x_test) 8 9 if prediction==y_test :/opt/conda/lib/python3.6/site-packages/sklearn/ensemble/forest.py in predict(self, X) 536 The predicted classes. 537 ＂＂＂--> 538 proba = self.predict_proba(X) 539 540 if self.n_outputs_ == 1:/opt/conda/lib/python3.6/site-packages/sklearn/ensemble/forest.py in predict_proba(self, X) 576 check_is_fitted(self, ＂estimators_＂) 577 # Check data--> 578 X = self._validate_X_predict(X) 579 580 # Assign chunk of trees to jobs/opt/conda/lib/python3.6/site-packages/sklearn/ensemble/forest.py in _validate_X_predict(self, X) 355 ＂call `fit` before exploiting the model.＂) 356 --> 357 return self.estimators_[0]._validate_X_predict(X, check_input=True) 358 359 @property/opt/conda/lib/python3.6/site-packages/sklearn/tree/tree.py in _validate_X_predict(self, X, check_input) 371 ＂＂＂Validate X whenever one tries to predict, apply, predict_proba＂＂＂ 372 if check_input:--> 373 X = check_array(X, dtype=DTYPE, accept_sparse=＂csr＂) 374 if issparse(X) and (X.indices.dtype != np.intc or 375 X.indptr.dtype != np.intc):/opt/conda/lib/python3.6/site-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator) 439 ＂Reshape your data either using array.reshape(-1, 1) if ＂ 440 ＂your data has a single feature or array.reshape(1, -1) ＂--> 441 ＂if it contains a single sample.＂.format(array)) 442 array = np.atleast_2d(array) 443 # To ensure that array flags are maintainedValueError: Expected 2D array, got 1D array instead:array=[32.133 54.359715 -0.56].Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.
　　这个是再joinquant的预测股价的随机森林的应用代码，我就想学习下，发现运行的时候就出错了，请问错在哪里