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Methods

In the world of data manipulation and analysis in Python, Pandas is a powerhouse library. It offers a plethora of functionalities for handling structured data. One of the fundamental data structures in Pandas is the Series, which represents a one-dimensional labeled array. In this tutorial, we will delve into various methods available for manipulating and analyzing Series data.

1. Importing Pandas Library​

Before we start working with Pandas, we need to import the library. Conventionally, it's imported as pd for brevity.

import pandas as pd

2. Creating a Series​

Let's start by creating a Series with some sample data. We'll include floating-point numbers and a missing value (denoted as None in Python).

values = pd.Series([1.2, 2.4, 3.6, None, 4.8])

3. Basic Methods for Series​

3.1. max(): Maximum Value​

This method returns the maximum value from the Series.

max_value = values.max()
print("Maximum value:", max_value)

3.2. min(): Minimum Value​

Returns the minimum value from the Series.

min_value = values.min()
print("Minimum value:", min_value)

3.3. sum(): Sum of Values​

Calculates the sum of all values in the Series.

sum_of_values = values.sum()
print("Sum of values:", sum_of_values)

3.4. mean(): Mean (Average) of Values​

Computes the average of all values in the Series.

average_value = values.mean()
print("Average value:", average_value)

3.5. idxmax(): Index of Maximum Value​

Returns the index of the maximum value in the Series.

max_index = values.idxmax()
print("Index of maximum value:", max_index)

3.6. idxmin(): Index of Minimum Value​

Returns the index of the minimum value in the Series.

min_index = values.idxmin()
print("Index of minimum value:", min_index)

3.7. isnull(): Check for Null Values​

Creates a boolean Series indicating whether each value is null or not.

null_values = values.isnull()
print("Null values:", null_values)

3.8. round(): Round Values​

Rounds the values in the Series to a specified number of decimal places.

rounded_values = values.round(2)  # Round to 2 decimal places
print("Rounded values:", rounded_values)