SQL “WHERE IN” equivalent in Pandas

Question

I'm trying to extract all indices that have the value "US" and "JP" in column "Country"

Main_table

Date         Country   Customer_id
2019-01-01   UK        434393
2019-01-01   UK        553334
2019-01-01   US        424292
2019-01-01   JP        433535

Output table

Index:3,4

This is what I've tried so far, but I get zero results:

indexNames = df[ (df['Country'] == 'US') & (df['Country'] == 'JP') ].index

Answer 1

Change & to |

indexNames = df[ (df['Country'] == 'US') | (df['Country'] == 'JP') ].index

Or just isin

indexNames = df[ (df['Country'].isin(['US', 'JP']) ].index