Conditional Logic on Pandas DataFrame

Question

How to apply conditional logic to a Pandas DataFrame.

See DataFrame shown below,

   data desired_output
0     1          False
1     2          Fals         


        

Answer 1

In this specific example, where the DataFrame is only one column, you can write this elegantly as:

df['desired_output'] = df.le(2.5)

le tests whether elements are less than or equal 2.5, similarly lt for less than, gt and ge.