网上（百度）能找到的报错答疑比较少，所以来贴个帖子。同为分享故，减少后来人的坑。

运行sklearn.svm函数预测时，报错 ValueError: The number of classes has to be greater than one; got 1 class
找到报错原因了，因为y只有一种可能的值，1.

接下来，是要找到为什么y的赋值只有1.
—— —— ——

先附函数代码：

```python
data.sort_index(0,ascending=False,inplace=True)
dayfeature=150
featurenum=5*dayfeature
x=np.zeros((data.shape[0]-dayfeature,featurenum+1))
y=np.zeros((data.shape[0]-dayfeature))
 
for i in range(0,data.shape[0]-dayfeature):
    x[i,0:featurenum]=np.array(data[i:i+dayfeature][[u'收盘价',u'最高价',u'最低价',u'开盘价',u'成交量']]).reshape((1,featurenum))
    x[i,featurenum]=data.ix[i+dayfeature][u'开盘价']
 
for i in range(0,data.shape[0]-dayfeature):
    if data.ix[i+dayfeature][u'收盘价']>=data.ix[i+dayfeature][u'开盘价']:
        y[i]=1
    else: