Pandas Excel File Error: Quick Fixes

If Pandas is unable to locate the Excel file, you can try the following solutions:

1. Ensure that the file path is correct: Double check to make sure that the file path is accurate, and ensure that the file name and file extension (e.g. .xlsx) are correctly matched.
2. Choose the right engine: Pandas uses different engines to read Excel files, so you can try using different engines to solve the problem. For example, use the openpyxl engine to read .xlsx files or use the xlrd engine to read .xls files.

# 使用openpyxl引擎读取.xlsx文件
df = pd.read_excel('path/to/file.xlsx', engine='openpyxl')

# 使用xlrd引擎读取.xls文件
df = pd.read_excel('path/to/file.xls', engine='xlrd')

1. Check if the necessary dependencies are installed: Make sure that the required dependencies, such as openpyxl or xlrd, are installed, as these libraries can be used to read different versions of Excel files.
2. Check the file permissions to make sure it is not being used or locked by other applications, and that you have the permission to read it.
3. Try using the absolute path of the file instead of the relative path to read the Excel file.

df = pd.read_excel('/absolute/path/to/file.xlsx')

If attempting the above solutions still does not resolve the issue, you may want to consider the following potential reasons:

1. The file does not actually exist in the specified path.
2. The document is damaged or in an unsupported format.
3. The version of Pandas is too low and does not support the required Excel file format.

Based on the specific situation, further investigation can be conducted to address the issue.