lt() function of pandas DataFrame class

Overview:

The lt() function is one of the binary relational operations supported by the pandas DataFrame class.
After performing an element-wise comparison of two pandas DataFrame instances, the lt() method returns a DataFrame which has the comparison results as Boolean values.
A value in the resultant DataFrame is True, if the element of the first DataFrame is less than the element of the second DataFrame. Otherwise the value is False.
The set of relational operations supported by the DataFrame class of Python pandas library and their meanings are given below:

Binary Operation Name/DataFrame method Name	Description
eq()	Equal To
neq()	Not Equal To
lt()	Less Than
le()	Less Than or Equal To
gt()	Greater Than
ge()	Greater Than or Equal To

import pandas as pd

dataCollection1 = [(10, 20, 10),

(30, 40, 30),

(50, 60, 50)];

dataCollection2 = [(20, 10, 15),

(40, 35, 45),

(55, 65, 70)];

dataFrameOne = pd.DataFrame(data=dataCollection1);

dataFrameTwo = pd.DataFrame(data=dataCollection2);

comparisionResult = dataFrameOne.lt(dataFrameTwo);

print("DataFrame One:");

print(dataFrameOne);

print("DataFrame Two:");

print(dataFrameTwo);

print("DataFrame One lt(<) DataFrame Two:");

print(comparisionResult);

DataFrame One:

0 1 2

0 10 20 10

1 30 40 30

2 50 60 50

DataFrame Two:

0 1 2

0 20 10 15

1 40 35 45

2 55 65 70

DataFrame One lt(<) DataFrame Two:

0 1 2

0 True False True

1 True False True

2 True True True