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

 

Example:

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);

 

Output:

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

 

 

 


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