Introduction to Pandas Series - Pandas Series

A Series is a one-dimensional labeled array in pandas that can hold any data type such as integers, strings, floating-point numbers, Python objects, etc. It is similar to a column in a spreadsheet or a SQL table. It is a fundamental data structure for the pandas library.

Syntax

The basic syntax to create a Series in Pandas is as follows:

import pandas as pd

# Create a Series
s = pd.Series(data, index=index)

Here, data can be a Python dictionary, an ndarray, a scalar value, or a list, and index is a list of axis labels. Both data and index are optional.

Example

Consider the following example, where we create a Series object in Pandas:

import pandas as pd

# Create data
data = {'apples': 10, 'oranges': 5, 'pears': 7}

# Create a Series
s = pd.Series(data)

print(s)

In this example, we create a dictionary data with some data, and then we create a Series object s in Pandas using this data. We print the Series object using print(s).

Output

When the above program is executed, it produces the following output:

apples     10
oranges     5
pears       7
dtype: int64

This output shows the values in the Series object along with their corresponding index labels.

Explanation

The Series object in Pandas is a one-dimensional labeled array that can hold data of any type. It is similar to a NumPy array but with an index.

In the example above, we create a dictionary data with some data, and then we create a Series object s in Pandas using this data. The resulting Series object has three values, each with an index label.

Use

The Series object in Pandas is useful for creating and manipulating one-dimensional labeled data. It can be used to perform operations on data, such as filtering, sorting, aggregation, and statistical computations.

Important Points

• A Series is a one-dimensional labeled array in Pandas.
• It can hold data of any type.
• It is similar to a column in a spreadsheet or a SQL table.

Summary

The Series object is a fundamental data structure in Pandas that is used to create and manipulate one-dimensional labeled data. It is a powerful tool that can be used for various data manipulation, filtering, and computation operations.