如何检查X_train, X_test, y_train, y_test = train_test_split(sequences, labels, test_size=0.2, random_state=30)中y_train的具体数据是否含有1
时间: 2023-07-20 12:07:53 浏览: 30
可以使用Python中的numpy库来判断y_train中是否含有数值1,具体步骤如下:
1. 导入numpy库:`import numpy as np`
2. 使用`np.sum()`函数计算y_train中数值为1的元素个数,代码如下:
```
num_ones = np.sum(y_train == 1)
```
3. 判断num_ones的值是否大于0,如果大于0则说明y_train中含有数值为1的元素,代码如下:
```
if num_ones > 0:
print("y_train中含有数值为1的元素")
else:
print("y_train中不含有数值为1的元素")
```
完整代码如下:
```
import numpy as np
from sklearn.model_selection import train_test_split
# 假设sequences和labels为数据集和标签
X_train, X_test, y_train, y_test = train_test_split(sequences, labels, test_size=0.2, random_state=30)
# 判断y_train中是否含有数值为1的元素
num_ones = np.sum(y_train == 1)
if num_ones > 0:
print("y_train中含有数值为1的元素")
else:
print("y_train中不含有数值为1的元素")
```