Let’s say I have the following Pandas dataframe:

df = DataFrame({'A' : [5,6,3,4], 'B' : [1,2,3, 5]})
df
 A   B
0 5 1
1 6 2
2 3 3
3 4 5

I can subset based on a specific value:

x = df[df['A'] == 3]
x
 A   B
2 3 3

But how can I subset based on a list of values? - something like this:

list_of_values = [3,6]
y = df[df[‘A’] in list_of_values]

To get:

     A    B
1    6    2
2    3    3

You can use the isin method:

In [1]: df = pd.DataFrame({'A': [5,6,3,4], 'B': [1,2,3,5]})
In [2]: df
Out[2]:
A  B
0  5  1
1  6  2
2  3  3
3  4  5
In [3]: df[df[‘A’].isin([3, 6])]
Out[3]:
A  B
1  6  2
2  3  3

And to get the opposite use ~:

In [4]: df[~df['A'].isin([3, 6])]
Out[4]:
   A  B
0  5  1
3  4  5