How can i replace a value in a specific row and column in a csv file

Question

I need to replace a value in correspondence of an ID in a.csv file:

ChatId,Color
805525230,black

So if the ID in input is equal to the one in the file my program will replace the Color "black" with the new one. I tried this:

for idx, row in enumerate(df.ChatId):
    if str(row) == str(CHAT_ID):
        df.loc[1,idx] = BGc
        df.to_csv("path")

Answer 1

Assuming you loaded the csv on a dataframe, you could you use some of its functions.

For example: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.replace.html

Alternatively, you could use the loc function:

df.loc[df['ChatId'=='SomeId'], 'Color'] = 'ValueToReplace'

If you need to apply it to a different column, you can 'Color' with the appropriate name.
I think you could even include a list of column names, though I haven't tested it