如何将熊猫数据框列中的所有值聚合为 2 个值

Question

I have a Pandas dataframe contains some columns. Each columns have some differents values. See the image.

In col1 I have that the value 1 is more frequent than others, so, I need to transform this column to have values 1 and more then 1.

How can I do that?

My goals here is transforme this column in a categorical column but I have no idea how can I do that.

The output expected is something like the next image:

Answer 1

Try clip function on column:

df["col1"].clip(upper=2)

0     1
1     2
2     2
3     2
4     1
5     2
6     2
7     1
8     1
9     1
10    1
11    2
12    1