pythonpandasdataframeindexingfilter

Use a list of values to select rows from a Pandas dataframe

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
Solution

  • 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