Remove double quotes from a string- when inputting a value for a function so it can be written just once

So, I have the following code:

corrresult = df1.drop("COMPRIMISED_ALERT", axis=1).apply(lambda x: x.corr(df1.COMPRIMISED_ALERT))

I want to turn this into a function, so I can use different variables for both the dataframe and the column I'm dropping/ using for the correlation vector

The code below won't work, as y needs to be entered once with quotes marks and once without.

def correlation_vector (d,v):
corrresult = d.drop(v, axis=1).apply(lambda x: x.corr(d.v))
return corrresult

Any idea how to fix this without needing to add a third variable as follows (the third would literally be the second without speech marks):

def correlation_vector (d,v,v2):
corrresult = d.drop(v, axis=1).apply(lambda x: x.corr(d.v2))
return corrresult

If applied to the initial code:
d = df1
v = "COMPRIMISED_ALERT"
v2 = COMPRIMISED_ALERT

Although the columns in a DataFrame can be retrieved either by dictionary-like notation ["col_name"] or by using the dot attribute notation .col_name (where the column name is a valid Python variable name), I suggest you to use the former.

def correlation_vector(d, v):
    corrresult = d.drop(v, axis=1).apply(lambda x: x.corr(d[v])) # <- d[v] instead of d.v 
    return corrresult

To call your function, use :

correlation_vector(df1, "COMPRIMISED_ALERT")