PYTHON错误代码及解决办法

（1）用sklearn进行逻辑回归时，建立完模型，由于要预测的数据量很大，无法一次全部预测，只能每次预测一个样本数据，

在每次以列表形式输入数据进行预测时出现：

/Users/donganlan/anaconda/lib/python2.7/site-packages/sklearn/utils/validation.py:386: DeprecationWarning: Passing 1d arrays as data is deprecated in 0.17 and willraise ValueError in 0.19. Reshape your data either using X.reshape(-1, 1) if your data has a single feature or X.reshape(1, -1) if it contains a single sample.
  DeprecationWarning)

解决办法：将输入数据由列表形式改成shape(1,-1)形式for line in hp:    line = re.sub(r'\\N', '0', line)    linearr = line.strip().split(',')    xpredict = [float(i) for i in linearr][2:118]    xpredictnd =np.array(xpredict).reshape(1,-1)    ypredict = grid.predict(xpredictnd)