Python program to compare two Pandas series

In this program, we will declare two Pandas series and compare their elements using comparison operators. Pandas provides element-wise comparison operations that return boolean Series objects.

Before we solve the problem, we need to import the Pandas library into our local IDE. This can be done by installing Pandas on our local machine. The command for installing Pandas is −

pip install pandas

Input Data

We will use two sample series for comparison ?

Series1 = [2,4,6,8,10]
Series2 = [1,3,5,7,9]

Algorithm

• Step 1: Define two Pandas series using the Series() function of Pandas library
• Step 2: Compare the series using greater than, less than, and equal-to operators
• Step 3: Display the comparison results as boolean Series

Example Code

import pandas as pd

series1 = pd.Series([2,4,6,8,10])
series2 = pd.Series([1,3,5,7,9])

print("Series 1:")
print(series1)
print("\nSeries 2:")
print(series2)

print("\nGreater Than:")
print(series1 > series2)

print("\nLess Than:")
print(series1 < series2)

print("\nEquals:")
print(series1 == series2)

Series 1:
0     2
1     4
2     6
3     8
4    10
dtype: int64

Series 2:
0    1
1    3
2    5
3    7
4    9
dtype: int64

Greater Than:
0    True
1    True
2    True
3    True
4    True
dtype: bool

Less Than:
0    False
1    False
2    False
3    False
4    False
dtype: bool

Equals:
0    False
1    False
2    False
3    False
4    False
dtype: bool

Other Comparison Operations

Pandas also supports other comparison operators ?

import pandas as pd

series1 = pd.Series([2,4,6,8,10])
series2 = pd.Series([1,3,5,7,9])

print("Greater Than or Equal:")
print(series1 >= series2)

print("\nLess Than or Equal:")
print(series1 <= series2)

print("\nNot Equal:")
print(series1 != series2)

Greater Than or Equal:
0    True
1    True
2    True
3    True
4    True
dtype: bool

Less Than or Equal:
0    False
1    False
2    False
3    False
4    False
dtype: bool

Not Equal:
0    True
1    True
2    True
3    True
4    True
dtype: bool

Conclusion

Pandas Series comparison operations return boolean Series with element-wise comparison results. These operations are useful for data filtering and conditional operations in data analysis.