编程语言：python；错误信息：Traceback (most recent call last): File "C:\Users\lzong\Desktop\Code+data+model\Code+data+model\DataInsight_code.py", line 334, in <module> columns = poly_transformer.get_feature_names(['板温','现场温度','光照强度','风速','风向'])) AttributeError: 'PolynomialFeatures' object has no attribute 'get_feature_names'；代码片段：poly_features = pd.DataFrame(poly_features, columns = poly_transformer.get_feature_names(['板温','现场温度','光照强度','风速','风向']))

根据错误信息，`'PolynomialFeatures' object has no attribute 'get_feature_names'`，说明在 `poly_transformer` 这个 `PolynomialFeatures` 对象上找不到 `get_feature_names` 这个属性，导致程序报错。

在代码片段中，你调用了 `poly_transformer.get_feature_names(['板温','现场温度','光照强度','风速','风向'])` 来获取多项式特征的列名。根据 scikit-learn 的官方文档，`PolynomialFeatures` 类确实没有 `get_feature_names` 这个方法，因此出现了错误。

如果你想获取多项式特征的列名，可以先获取所有可能的特征组合，然后根据对应的指数来生成列名。例如，你可以使用以下代码来生成多项式特征的列名：

# 获取所有可能的特征组合
feature_names = poly_transformer.get_feature_names(['板温','现场温度','光照强度','风速','风向'])

# 根据指数生成列名
columns = [feature_names[i] for i in poly_transformer.powers_.T]

这样就可以避免使用不存在的 `get_feature_names` 方法，生成多项式特征的列名了。

相关问题

Traceback (most recent call last): File "C:\Users\huijiaqi\Desktop\pack\main.py", line 9, in <module> data = json.load(f)

This is a Python error message indicating that there was an error while running a script called "main.py" in the "pack" folder on the user's desktop. The error occurred on line 9 of the script and is a "Traceback" error, which means that Python is reporting the steps leading up to the error.

Specifically, the error occurred while trying to load JSON data from a file using the "json.load()" function. The file that was being loaded is not specified in the error message, but it could be inferred from the context of the script and the variable name used in the line of code that caused the error.

Without more information about the script and the data being loaded, it is difficult to determine the exact cause of the error. However, some possible reasons for the error include:

- The file being loaded does not exist or is not accessible to the script.
- The file contains invalid JSON data that cannot be loaded by the "json.load()" function.
- The script is not properly handling errors when loading JSON data, such as by using a "try-except" block to catch exceptions.

To resolve the error, the user should review the script and ensure that the file being loaded exists and is accessible, and that the JSON data in the file is valid. The user could also consider adding error handling to the script to catch exceptions when loading JSON data.

C:\Users\jf\AppData\Local\Programs\Python\Python311\python.exe C:\Users\jf\Desktop\素材及代码\光流法.py Traceback (most recent call last): File "C:\Users\jf\Desktop\素材及代码\光流法.py", line 25, in <module> mask = np.zeros_like(old_frame) ^^ NameError: name 'np' is not defined Process finished with exit code 1

这个错误提示是因为代码中使用了NumPy库，但是在代码中没有导入NumPy库，所以出现了NameError错误。你需要在代码开头添加以下导入语句来解决这个问题：

import cv2
import numpy as np  # 添加NumPy库的导入语句

这样就可以解决NameError错误了。