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 [34]: import pandas as pd

In [35]: import numpy as np

In [36]:  df = pd.DataFrame([1,2,3,4], columns=["data"])

In [37]: df
Out[37]: 
   data
0     1
1     2
2     3
3     4

In [38]: df["desired_output"] = np.where(df["data"] <2.5, "False", "True")

In [39]: df
Out[39]: 
   data desired_output
0     1          False
1     2          False
2     3           True
3     4           True