implementing Unicode Handling in CSV Files using Python 3.8 and Pandas
I've been researching this but I've been researching this but I'm writing unit tests and I'm working with a question with reading a CSV file that contains special Unicode characters using Pandas in Python 3.8. When I try to read the file, I get the following behavior: `UnicodeDecodeError: 'utf-8' codec need to decode byte 0xXX in position XX: invalid continuation byte`. I suspect it might be due to the file being encoded in a different format. I've tried specifying the `encoding` parameter in the `read_csv` function, but it doesn't seem to resolve the scenario. Here’s what I’ve been using: ```python import pandas as pd # Attempting to read a CSV file with potential encoding issues try: df = pd.read_csv('data.csv', encoding='utf-8') except UnicodeDecodeError as e: print(f'behavior: {e}') ``` I also tried using `encoding='latin1'`, but that leads to garbled text in the DataFrame. After checking the file, I found it’s actually encoded in UTF-16. I attempted to read it like this: ```python df = pd.read_csv('data.csv', encoding='utf-16') ``` However, this results in an `Empty DataFrame` with no errors: ```python print(df) # Output: Empty DataFrame Columns: [] Index: [] ``` I've confirmed that the CSV has valid data by opening it in a text editor. Any suggestions on how I can properly read this CSV file with special characters so that I can manipulate the data in Pandas? Is there a specific encoding I should be using or any additional parameters I might need to consider? My development environment is Linux. Has anyone else encountered this? I'm working with Python in a Docker container on Windows 10. Any ideas what could be causing this? I'm working with Python in a Docker container on Windows 10. Could this be a known issue?