Pandas Data Series: Find the index of the first occurrence of the smallest and largest value of a given series

Last update on December 21 2024 07:42:44 (UTC/GMT +8 hours)

Write a Pandas program to find the index of the first occurrence of the smallest and largest value of a given series.

Sample Solution :

Python Code :

import pandas as pd
nums = pd.Series([1, 3, 7, 12, 88, 23, 3, 1, 9, 0])
print("Original Series:")
print(nums)
print("Index of the first occurrence of the smallest and largest value of the said series:")
print(nums.idxmin())
print(nums.idxmax())

Sample Output:

Original Series:
0     1
1     3
2     7
3    12
4    88
5    23
6     3
7     1
8     9
9     0
dtype: int64
Index of the first occurrence of the smallest and largest value of the said series:
9
4

Explanation:

nums = pd.Series([1, 3, 7, 12, 88, 23, 3, 1, 9, 0]): This code creates a Pandas Series object 'nums' containing ten integers.

nums.idxmin(): This code returns the index label of the minimum value in the ‘nums’ Pandas series.

nums.idxmax(): This code returns the index of the maximum value in the Pandas Series object 'nums'.

Python-Pandas Code Editor:

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