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']))
时间: 2023-03-05 22:51:24 浏览: 223
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:
```python
# 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.
Traceback (most recent call last): File "C:\Users\test\PycharmProjects\pythonProject\1234.py", line 59, in <module> print("时间:", time[i]) ~~~~^^^ IndexError: list index out of range
这个错误通常表示索引超出了列表的范围,也就是尝试访问一个不存在的索引位置。在这种情况下,可能是因为正则表达式没有匹配到任何数据导致 `time` 列表为空。
为了解决这个问题,您可以在访问 `time` 列表的元素之前,添加一个条件判断来确保列表不为空。以下是修改后的代码示例:
```python
import os
import re
from bs4 import BeautifulSoup
# 指定文件夹路径
folder_path = "C:/Users/test/Desktop/DIDItest"
# 正则表达式模式
pattern = r'\[talkid:(\d+)\]'
time_pattern = r'\[(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})\]'
# 遍历文件夹中的所有文件
for root, dirs, files in os.walk(folder_path):
for file in files:
# 读取html文件
file_path = os.path.join(root, file)
with open(file_path, "r", encoding="utf-8") as f:
html_code = f.read()
# 解析html代码
soup = BeautifulSoup(html_code, "html.parser")
# 查找包含talkid的数据
talkid_data = soup.find_all(text=re.compile(pattern))
# 提取时间并转换格式
time_data = re.findall(time_pattern, html_code)
time = [.split()[0] for t in time_data] # 转化为 '0000-00-00' 格式
# 打印提取的数据
for i in range(len(talkid_data)):
if i < len(time):
print("时间:", time[i])
print("talkid_data:", talkid_data[i])
print()
```
这里添加了一个条件判断 `if i < len(time)`,以确保在访问 `time` 列表时不会超出索引范围。如果 `i` 的值大于等于 `time` 列表的长度,则不打印时间。
请再次运行代码,看看问题是否得到解决。如果问题仍然存在,请检查您的数据和正则表达式模式是否正确。