Comparing two pandas series objects using lt() function - applying less than condition

Overview:

“Less Than” is a comparison operation. For pandas Series objects, the “Less Than“ operation is implemented through the “<” operator as well as the function Series.lt();
When using the function lt(), Python developers has an option to provide replacement for any occurrence of None/NaN/missing values.

The Python example below compares two pandas series objects of string literals and prints the resulting series on to the console.

# Example Python program to compare pandas series instance

# using lt() function i.e., applying less than < condition

import pandas as pds

# Define strings

token1 = "axybd";

token2 = "gbuio";

# Load the strings into lists making one character string literals

tokenList1 = list(token1);

tokenList2 = list(token2);

# Load the lists of characters into series objects

series1 = pds.Series(tokenList1);

series2 = pds.Series(tokenList2);

# Compare string literals of series1 with series2

series3 = series1.lt(series2);

print("pandas Series of strings 1:");

print(series1);

print("pandas Series of strings 2:");

print(series2);

print("pandas Series of strings 1 < pandas Series of strings 2");

print(series3);

pandas Series of strings 1:

0 a

1 x

2 y

3 b

4 d

dtype: object

pandas Series of strings 2:

0 g

1 b

2 u

3 i

4 o

dtype: object

pandas Series of strings 1 < pandas Series of strings 2

0 True

1 False

2 False

3 True

4 True

dtype: bool