Pandas apply works as inplace true

I'm trying to change a new data frame's column using apply function to another df, but both data frames' columns changes.

df = pd.DataFrame([['x1','x2'],['y1','y2']],columns=['A','B'])

A	B
x1	x2
y1	y2



lst = []
def getbinary(x):
    if x not in lst:
        lst.append(x)
    return lst.index(x)

modeldf = df
modeldf['A'] = df['A'].apply(getbinary)

modeldf and df after this code:

A	B
0	x2
1	y2

source https://stackoverflow.com/questions/74565374/pandas-apply-works-as-inplace-true

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