w3resource

Pandas Data Series: Compare the elements of the two Pandas Series

Pandas: Data Series Exercise-4 with Solution

Write a Pandas program to compare the elements of the two Pandas Series.

Sample Series: [2, 4, 6, 8, 10], [1, 3, 5, 7, 10]

Sample Solution:

Python Code :

import pandas as pd
ds1 = pd.Series([2, 4, 6, 8, 10])
ds2 = pd.Series([1, 3, 5, 7, 10])
print("Series1:")
print(ds1)
print("Series2:")
print(ds2)
print("Compare the elements of the said Series:")
print("Equals:")
print(ds1 == ds2)
print("Greater than:")
print(ds1 > ds2)
print("Less than:")
print(ds1 < ds2)

Sample Output:

Series1:                                                               
0     2                                                                
1     4                                                                
2     6                                                                
3     8                                                                
4    10                                                                
dtype: int64                                                           
Series2:                                                               
0     1                                                                
1     3                                                                
2     5                                                                
3     7                                                                
4    10                                                                
dtype: int64                                                           
Compare the elements of the said Series:                               
Equals:                                                                
0    False                                                             
1    False                                                             
2    False
3    False                                                             
4     True                                                             
dtype: bool                                                            
Greater than:                                                          
0     True                                                             
1     True                                                             
2     True                                                             
3     True                                                             
4    False                                                             
dtype: bool                                                            
Less than:                                                             
0    False                                                             
1    False                                                             
2    False                                                             
3    False                                                             
4    False                                                             
dtype: bool                                             

Python Code Editor:


Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to add, subtract, multiple and divide two Pandas Series.
Next: Write a Pandas program to convert a dictionary to a Pandas series.

What is the difficulty level of this exercise?

Test your Python skills with w3resource's quiz



Python: Tips of the Day

Function argument unpacking in Python.

Example:

def tips_func(x, y, z):
  print(x, y, z)
  
tuple_val = (2, 0, 2)
dict_val = {'x': 3, 'y': 2, 'z': 1}
tips_func(*tuple_val)
tips_func(**dict_val)

Output:

2 0 2
3 2 1