Lets 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]
You can use 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
Source: Stackoverflow.com