import pandas as pd df = pd.read_csv('C:\\Users\\王博艺\\Desktop\\Coursework_2(3).zip\\Coursework_2') df帮我检查一下为什么错了
时间: 2023-06-01 08:01:31 浏览: 118
在读取CSV文件时,需要指定CSV文件的具体文件名,而不是文件夹的路径。因此,你需要在该代码中指定CSV文件的文件名,例如:
```
import pandas as pd
df = pd.read_csv('C:\\Users\\王博艺\\Desktop\\Coursework_2(3).zip\\Coursework_2\\file.csv')
```
其中,`file.csv`是你要读取的CSV文件的文件名。
相关问题
import pandas as pd df = pd.read_csv(r'C:\Users\王博艺\Downloads\Coursework_2(2).zip')为什么不能成功读取csv文件
There could be a few reasons why the code is not able to read the CSV file:
1. The file path is incorrect: Make sure that the file path provided in the code is correct and the file is present in the specified location.
2. The file is in a compressed format: If the file is in a .zip format, it needs to be extracted first before it can be read using the pandas read_csv function.
3. The file format is not CSV: Check if the file format is actually CSV or not. If not, the code needs to be modified accordingly.
4. The file is corrupted: If the file is corrupted, it cannot be read using the pandas read_csv function.
5. The file is open in another program: If the file is open in another program, it cannot be read using the pandas read_csv function. Close the file in the other program and try again.
import pandas as pd df1=pd.read_csv('/Users/hiedihe/Desktop/hao/斗破苍穹.csv') df2=pd.read_csv('/Users/hiedihe/Desktop/hao/爱消除表格新.csv') # 合并两个DataFrame merged_df = pd.concat([df1, df2]) # 将合并后的数据保存为新的Excel文件 merged_df.to_csv('he11.xlsx', index=False) 报错:File "/Applications/pythonProject/main.py", line 3 df1=pd.read_csv('/Users/hiedihe/Desktop/hao/斗破苍穹.csv') IndentationError: unexpected indent
这个错误是缩进错误(IndentationError),意味着您的代码缩进不正确。在Python中,缩进对于代码的结构和执行非常重要。请确保您的代码块有正确的缩进。
在您提供的代码中,错误出现在第3行。请检查该行及其之前的行是否有额外的缩进或不正确的缩进。您可以使用四个空格或一个制表符来进行缩进,但不能混合使用。
以下是修正后的代码示例:
```python
import pandas as pd
df1 = pd.read_csv('/Users/hiedihe/Desktop/hao/斗破苍穹.csv')
df2 = pd.read_csv('/Users/hiedihe/Desktop/hao/爱消除表格新.csv')
# 合并两个DataFrame
merged_df = pd.concat([df1, df2])
# 将合并后的数据保存为新的Excel文件
merged_df.to_csv('he11.xlsx', index=False)
```
请确保代码的每一行都有正确的缩进,并且行与行之间没有额外的缩进或缺少缩进。如果仍然有问题,请检查其他部分的缩进。
阅读全文
相关推荐















