Selecting 2 OR 3 (NOT ALL) conditions inside a pandas query

Question

I have tried a combination of conditions with the OR | operator and not getting the desired result. This code didnt work.

df.query("(Subgenre == @subgenre & YEAR == @year & Country == @country) | (Subgenre == @subgenre & YEAR == @year) | (Subgenre == @subgenre & Country == @country)")

I want for the list to generate whether 2 or 3 of the conditions are met.

Here is my code

import pandas as pd
import streamlit as st

st.set_page_config(page_title="Horror Movie List",
                   page_icon=":bar_chart:",
                   layout='wide')
df = pd.read_excel(

  io='list.xlsx',
  engine= 'openpyxl',
  sheet_name='Movies',
  usecols='A,C,D,E,F,G,J,L,M,N,O,P,Q',
  nrows=1000,
  
).fillna('')


# SIDEBAR

st.sidebar.header("Please Filter Here")

subgenre = st.sidebar.multiselect(
    "Subgenre",
    options=df["Subgenre"].unique()
    )
               
year = st.sidebar.multiselect(
    "Year",
    options=df["YEAR"].unique()
    )

country = st.sidebar.multiselect(
    "Country",
    options=df["Country"].unique()
    )


df_selection = df.query( 
        'Subgenre == @subgenre & YEAR == @year & Country == @country'
        )
    

st.dataframe(df_selection)

Also under 'Country', I want to default select 'USA' ('USA' is a row in a column labeled "Country') but this code below doesn't work.

---

country = st.sidebar.multiselect(
    "Country",
    options=df["Country"].unique(),
    default=df.loc[('Country','USA')]
    )

Thank you!