Pandas Data Series: Check the equality of two given series

Last update on December 21 2024 07:42:43 (UTC/GMT +8 hours)

Write a Pandas program to check the equality of two given series.

Sample Solution :

Python Code :

import pandas as pd
nums1 = pd.Series([1, 8, 7, 5, 6, 5, 3, 4, 7, 1])
nums2 = pd.Series([1, 8, 7, 5, 6, 5, 3, 4, 7, 1])
print("Original Series:")
print(nums1)
print(nums2)
print("Check 2 series are equal or not?")
print(nums1 == nums2)

Sample Output:

Original Series:
0    1
1    8
2    7
3    5
4    6
5    5
6    3
7    4
8    7
9    1
dtype: int64
0    1
1    8
2    7
3    5
4    6
5    5
6    3
7    4
8    7
9    1
dtype: int64
Check 2 series are equal or not?
0    True
1    True
2    True
3    True
4    True
5    True
6    True
7    True
8    True
9    True
dtype: bool

Explanation:

nums1 = pd.Series([1, 8, 7, 5, 6, 5, 3, 4, 7, 1])
nums2 = pd.Series([1, 8, 7, 5, 6, 5, 3, 4, 7, 1])

The above code creates two Pandas series objects nums1 and nums2 containing the same set of integers.

nums1 == nums2: Here the == operator is used to compare each element of the two series and returns a new series of boolean values indicating whether each element is equal or not. The resulting series will contain True for elements that are equal in both series and False for elements that are not equal in both series.

Python-Pandas Code Editor:

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