How to Handle Quoted Strings with Commas When Parsing CSV in Python Using Pandas
I'm a bit lost with I'm building a feature where After trying multiple solutions online, I still can't figure this out... I've been struggling with this for a few days now and could really use some help. I've been banging my head against this for hours. I'm trying to parse a CSV file that contains fields with commas enclosed in double quotes. However, when I use `pd.read_csv()`, the parser seems to misinterpret the quoted strings as separate fields, leading to incorrect data frames. For instance, my input file looks like this: ``` name,age,notes "John Doe",30,"Loves programming, hiking" "Jane Smith",25,"Enjoys reading, cooking" ``` When I run the following code: ```python import pandas as pd file_path = 'data.csv' df = pd.read_csv(file_path) print(df) ``` I get this output: ``` name age notes 0 John Doe 30 Loves programming hiking 1 Jane Smith 25 Enjoys reading cooking ``` As you can see, the notes column is not being parsed correctly and the values are split at the commas. I've tried setting the `quotechar` parameter, but it doesn't seem to resolve the scenario. I used: ```python df = pd.read_csv(file_path, quotechar='"') ``` but it still doesn't work. I'm using Pandas version 1.3.3 and Python 3.9.5. Is there a specific way I should be configuring the `read_csv` method to handle this scenario correctly? Any guidance or alternative approaches would be much appreciated! I'm working on a application that needs to handle this. Am I missing something obvious? I'd really appreciate any guidance on this. I'm using Python 3.10 in this project. Any pointers in the right direction?