Traceback (most recent call last): File "<pyshell#3>", line 1, in <module> data = pd.read_csv("C:/Users/93037/Desktop/credit_card.csv") File "D:\python\lib\site-packages\pandas\io\parsers\readers.py", line 912, in read_csv return _read(filepath_or_buffer, kwds) File "D:\python\lib\site-packages\pandas\io\parsers\readers.py", line 577, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "D:\python\lib\site-packages\pandas\io\parsers\readers.py", line 1407, in __init__ self._engine = self._make_engine(f, self.engine) File "D:\python\lib\site-packages\pandas\io\parsers\readers.py", line 1679, in _make_engine return mapping[engine](f, **self.options) File "D:\python\lib\site-packages\pandas\io\parsers\c_parser_wrapper.py", line 93, in __init__ self._reader = parsers.TextReader(src, **kwds) File "pandas\_libs\parsers.pyx", line 548, in pandas._libs.parsers.TextReader.__cinit__ File "pandas\_libs\parsers.pyx", line 637, in pandas._libs.parsers.TextReader._get_header File "pandas\_libs\parsers.pyx", line 848, in pandas._libs.parsers.TextReader._tokenize_rows File "pandas\_libs\parsers.pyx", line 859, in pandas._libs.parsers.TextReader._check_tokenize_status File "pandas\_libs\parsers.pyx", line 2017, in pandas._libs.parsers.raise_parser_error UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd0 in position 0: invalid continuation byte
时间: 2023-08-01 07:12:13 浏览: 81
这个错误是由于 Pandas 读取 CSV 文件时默认使用 `UTF-8` 编码,但是你的 CSV 文件使用的编码格式可能与此不同。你可以尝试指定正确的编码格式,例如:
```
data = pd.read_csv("C:/Users/93037/Desktop/credit_card.csv", encoding='gbk')
```
其中 `gbk` 是中文编码格式之一,你可以根据实际情况选择正确的编码格式。如果仍然存在问题,请检查 CSV 文件的编码格式是否正确,并尝试使用其他编码格式解决问题。
相关问题
报错:data = pd.read('D:\DESKTOP\default of credit card.xls') Traceback (most recent call last): File "<pyshell#4>", line 2, in <module> data = pd.read('D:\DESKTOP\default of credit card.xls') AttributeError: module 'pandas' has no attribute 'read'
抱歉,是我疏忽了。正确的代码应该是`pd.read_excel`而不是`pd.read`。请尝试以下代码:
```python
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score
# 加载数据
data = pd.read_excel('D:\DESKTOP\default of credit card.xls')
# 分离自变量和因变量
X = data.iloc[:, :-1] # 自变量
y = data.iloc[:, -1] # 因变量
# 将数据集分为训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
# 建立决策树分类器
clf = DecisionTreeClassifier(random_state=42)
# 使用训练数据拟合分类器
clf.fit(X_train, y_train)
# 使用测试数据进行预测
y_pred = clf.predict(X_test)
# 计算模型的准确度
accuracy = accuracy_score(y_test, y_pred)
print('分类器的准确度为:', accuracy)
```
这段代码中,我们使用了`pd.read_excel`函数来读取Excel文件。如果您的Excel文件名或路径中包含特殊字符,请使用raw字符串,即在字符串前加上'r',例如:`r'D:\DESKTOP\default of credit card.xls'`。
Traceback (most recent call last): File "<pyshell#3>", line 1, in <module> import pycuda ModuleNotFoundError: No module named 'pycuda' >>>
这个错误提示说明你的Python环境中没有安装 `pycuda` 库,你需要在命令行或终端中使用pip命令来安装它。可以使用以下命令来安装:
```
pip install pycuda
```
如果你使用的是Linux或macOS系统,可能需要使用管理员权限运行该命令,例如:
```
sudo pip install pycuda
```