implementing reading CSV containing UTF-8 special characters in Python using Pandas
I tried several approaches but none seem to work. I'm relatively new to this, so bear with me. I'm trying to read a CSV file in Python using Pandas, and I'm working with issues with special characters that are supposed to be encoded in UTF-8. The CSV looks like it should be fine but when I try to read it, I get unexpected characters in the DataFrame. Here's what I've tried: ```python import pandas as pd # Reading the CSV file file_path = 'data/special_characters.csv' df = pd.read_csv(file_path) print(df.head()) ``` The output shows weird characters like `Ê` instead of the expected `Ê`. I've also tried specifying the encoding: ```python df = pd.read_csv(file_path, encoding='utf-8') ``` But the scenario continues. I even tried `encoding='latin1'`, and while it changes the characters, the data no longer makes sense. The CSV was generated from a web application that I suspect might not be properly handling UTF-8 encoding. The original file was saved correctly, and when I open it in a text editor, it displays as expected. Could there be a configuration in Pandas that I'm missing, or is there a potential scenario with how the CSV was generated? Any insights on how to resolve this encoding scenario would be greatly appreciated! Any help would be greatly appreciated!