Apply zscore normalization for specific dataframe columns

Question

I use the following approach to normalized any dataset:

import pandas as pd
from scipy.stats import zscore

df = pd.read_csv('dataset.csv', sep=',')
df = df.replace([np.inf, -np.inf], np.nan).dropna(axis=0)  # Remove NaNs
df = df.apply(zscore)  # Normalization

This code performs normalization for all columns. If I want to perform normalization for specific columns from a total 24 columns, say only ['Col_1', 'Col_5', 'Col_21'], how can I do that?

Thank you