Pandas Data Series: Find the positions of numbers that are multiples of 5 of a given series

Last update on April 03 2025 13:11:46 (UTC/GMT +8 hours)

21. Positions of Multiples

Write a Pandas program to find the positions of numbers that are multiples of 5 of a given series.

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
num_series = pd.Series(np.random.randint(1, 10, 9))
print("Original Series:")
print(num_series)
result = np.where(num_series % 5==0)
print("Positions of numbers that are multiples of 5:")
print(result)

Sample Output:

Original Series:
0    1
1    9
2    8
3    6
4    9
5    7
6    1
7    1
8    1
dtype: int64
Positions of numbers that are multiples of 5:
[]        

Explanation:

num_series = pd.Series(np.random.randint(1, 10, 9)): This code creates a Pandas series object 'num_series' containing 9 random integers between 1 and 10 using the np.random.randint() method.

result = np.where(num_series % 5==0): This code uses the np.where() function to create a boolean mask that checks which values in the Pandas Series object 'num_series' are divisible by 5. The resulting boolean mask will have the same length as the original Series object, with True values at the positions where the corresponding value in the Series object is divisible by 5, and False values otherwise.

The output of np.where() function returns a tuple containing the indices of the True values in the boolean mask.

The output of print(result) will depend on the random integers generated by the NumPy function np.random.randint().

For more Practice: Solve these Related Problems:

• Write a Pandas program to find positions of elements in a Series that are multiples of both 5 and 3.
• Write a Pandas program to locate indices in a Series where elements divisible by 5 are immediately followed by a prime number.
• Write a Pandas program to identify positions of elements that are multiples of 5 and not equal to zero.
• Write a Pandas program to find the positions of elements divisible by 5 in a Series after filtering out negative numbers.

Python-Pandas Code Editor:

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