检查列中是否存在值并在另一个 Pandas 中更改

Question

I have the following information.

Let's say I have the following list.

my_list = [2,3,4,5]

My dataframe is as follows:

df

Col1      Value
[1,3,6]    Hot
[7]        Mild
[10,11,2]  Cool
[5,9]      Cool
[2,5,6]    Mild

I would like to check if one of the value from the list my_list exist in the column Col1 . If it exist, change the value in Value column to Hot in the corresponding row.

I would like to see something like below.

Col1      Value
[1,3,6]    Hot
[7]        Mild
[10,11,2]  Cool
[5,9]      Hot
[2,5,6]    Hot

I am just looking for a simple script that can iterate and check in every row and change a value in another column the corresponding row.

Can any one help on this?

Answer 1

You can use a combination of explode , isin , agg , and .loc :

df.loc[df['Col1'].explode().isin(my_list).groupby(level=0).any(), 'Value'] = 'Hot'

Output:

>>> df
          Col1 Value
0    [1, 3, 6]   Hot
1          [7]  Mild
2  [10, 11, 2]   Hot
3       [5, 9]   Hot
4    [2, 5, 6]   Hot