How Can I Solve UnicodeDecodeError When Reading CSV Files with Pandas?

UnicodeDecodeError: Addressing Decoding Issues in CSV File Reading with Pandas

In the process of processing a large number of similar CSV files, you encounter a UnicodeDecodeError. This error indicates that Pandas is unable to decode the contents of a specific file into the Unicode encoding format. The reason behind this could be the presence of non-Unicode characters or an incorrect encoding specification.

To resolve this issue, you can utilize the encoding option of the read_csv function in Pandas. This option allows you to specify the encoding format of the input file. A common solution is to use encoding="utf-8", which is a widely supported encoding format.

Alternatively, you could use aliases like 'latin' or 'cp1252' instead of 'ISO-8859-1' to handle Windows-specific encodings. Refer to the Pandas documentation or the Python documentation for a comprehensive list of available encoding options.

To determine the correct encoding for a specific file, you can use tools like enca, file -i, or file -I. These tools can detect the encoding of a file based on its contents.

By specifying the appropriate encoding in the read_csv function, you can ensure that Pandas can correctly decode the contents of the CSV file, allowing you to proceed with your data processing任务。

The above is the detailed content of How Can I Solve UnicodeDecodeError When Reading CSV Files with Pandas?. For more information, please follow other related articles on the PHP Chinese website!