[FEATURE] Ability to pass regex module flags in DataFrame.replace while regex=True

[vishnu-dev]

Code Sample

# For ignoring case, I have to explicitly change the regex
replace_map = {
    '[Q|q]uick[P|p]ay with [Z|z]elle payment to ': 'Payment to',
    '[Q|q]uick[P|p]ay with [Z|z]elle payment from ': 'Payment from'
}
df.replace({'title': replace_map}, regex=True, inplace=True)

Problem description

According to pandas docs for DataFrame.replace the replace has ability to take regex input, but doesn't have the ability to take in regex flags such as re.I or re.IGNORECASE for case insensitive search. Can we have a flags argument to take in regex module flags as input.

Expected Output

replace_map = {
    'QuickPay with Zelle payment to ': 'Payment to',
    'QuickPay with Zelle payment from ': 'Payment from'
}
# Can't we include flags as argument?
df.replace({'title': replace_map}, regex=True, inplace=True, flags=re.I) 

[jbrockmendel]

I'm not sure off the top of my head, but I think you can pass compiled regexp objects, which might do the trick?

[rootsmusic]

@vishnu-dev I assume that this feature wouldn't be possible until there's an enhancement made in issue #22496.