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Write a Python code to create a series with your range values, generate a new row as sum of all the values and then convert the series into json file

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 630 Views

To create a Pandas series with range values, add a sum row, and convert to JSON format, we need to follow a structured approach using pandas library functions. Solution To solve this, we will follow the steps given below − Define a series with a range of 1 to 10 Find the sum of all the values Convert the series into JSON file format Let us see the following implementation to get a better understanding ? Example import pandas as pd ...

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Write a program in Python to find the missing element in a given series and store the full elements in the same series

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 351 Views

Finding missing elements in a numerical series is a common data processing task. We can identify gaps in a sequence and fill them to create a complete series using Pandas and Python's range() function. Solution Approach To find and fill missing elements in a series, we follow these steps ? Create a Pandas Series with the original data Generate a complete range from the first to last element Check each number in the range and add it to a new list Convert the complete list back to a Pandas Series Example Let's find ...

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Write a program in Python to generate any random five prime numbers between 100 to 150 in a Series

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 978 Views

To generate five random prime numbers between 100 and 150 using a Pandas Series, we need to first identify all prime numbers in this range, then randomly select five of them. Solution We will follow these steps − Create a function to check if a number is prime Find all prime numbers between 100 and 150 Use random.sample() to select 5 random primes Convert the result to a Pandas Series Example Let us see the implementation to generate random prime numbers − import pandas as pd import random def is_prime(num): ...

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Write a program in Python to find the index for NaN value in a given series

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 1K+ Views

When working with data analysis in Python, you often encounter NaN (Not a Number) values in your datasets. Finding the indices where these NaN values occur is a common task. This guide shows multiple approaches to locate NaN indices in a Pandas Series. Creating a Sample Series Let's first create a sample series containing NaN values ? import pandas as pd import numpy as np l = [1, 2, 3, np.nan, 4, np.nan] data = pd.Series(l) print(data) 0 1.0 1 2.0 2 3.0 ...

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Write a program in Python to filter the elements in a series which contains a string start and endswith 'a'

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 168 Views

In this tutorial, we'll learn how to filter elements in a Pandas Series that start and end with the same character. We'll explore different approaches to find strings that begin and end with 'a'. Sample Input and Output Input − Assume, you have a Series: 0 apple 1 oranges 2 alpha 3 aroma 4 beta Output − The result for elements that start and end with 'a': 2 alpha 3 aroma ...

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Write a program in Python to print the power of all the elements in a given series

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 360 Views

Computing the power of each element in a Pandas Series means raising each element to itself (xx). This tutorial demonstrates three different approaches to achieve this operation. Input − Assume, you have a series, 0 1 1 2 2 3 3 4 Output − And, the result for the power of all elements in a series is, 0 1 1 4 2 27 3 ...

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Write a program in Python to remove the elements in a series, if it contains exactly two spaces

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 320 Views

Sometimes you need to filter out pandas Series elements based on specific criteria. This tutorial shows how to remove elements that contain exactly two spaces using different approaches. Sample Data Let's start with a pandas Series containing text data ? import pandas as pd text_data = ["This is pandas", "python script", "pandas series"] data = pd.Series(text_data) print("Original Series:") print(data) Original Series: 0 This is pandas 1 python script 2 pandas series dtype: object Method 1: Using String count() Method ...

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Write a program in Python to sort all the elements in a given series in descending order

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 251 Views

Sorting a Pandas Series in descending order is a common data manipulation task. We can use the sort_values() method with the ascending=False parameter to achieve this. Creating a Sample Series First, let's create a Pandas Series with string elements ? import pandas as pd data_list = ["abdef", "ijkl", "Abdef", "oUijl"] series = pd.Series(data_list) print("Original Series:") print(series) Original Series: 0 abdef 1 ijkl 2 Abdef 3 oUijl dtype: object Sorting in Descending Order Use the sort_values() method ...

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Write a program in Python to verify kth index element is either alphabet or number in a given series

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 278 Views

In this tutorial, we'll learn how to verify whether the kth index element in a Pandas Series contains alphabetic characters or numeric digits. This is useful for data validation and type checking operations. Input − Assume, you have a Series: a abc b 123 c xyz d ijk Solution To solve this, we will follow the steps given below − Define a Series with mixed data types Get the index from user input Use string methods to check if the ...

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Write a program in Python to print the elements in a series between a specific range

Vani Nalliappan
Vani Nalliappan
Updated on 25-Mar-2026 1K+ Views

When working with Pandas Series, you often need to filter elements that fall within a specific range. Python provides several methods to accomplish this task efficiently. Input − Assume, you have a series: 0 12 1 13 2 15 3 20 4 19 5 18 6 11 Output − The result for the elements between 10 to 15: 0 12 1 13 2 ...

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