Pandas Series.array

Pandas Series.array property

In this tutorial, we'll go through examples for the Pandas Series.array property, which returns an array type ExtensionArray object of the Pandas Series.

The Pandas Series.array property is used to access the underlying array (data) of a Pandas Series. This property provides a way to work with the data in a more array-like fashion, allowing you to perform operations that are common in numerical computing and data manipulation.

Examples for Series.array property

1. Getting array type object of the given Series

In the following program, we take a Series object in series_data, get the array data using Series.array property, and print the contents of the array to output.

Python Program

import pandas as pd

# Create a Pandas Series
series_data = pd.Series([10, 20, 30, 40, 50])

# Get Series as array
array_data = series_data.array

# Display the array
print("Array")
print(array_data)

Output

Array
<NumpyExtensionArray>
[10, 20, 30, 40, 50]
Length: 5, dtype: int64

2. Getting array type object of the given Series with String values

In the following program, we take a Series with string values in series_data, get the array data using Series.array property, and print the contents of the array to output.

Python Program

import pandas as pd

# Create a Pandas Series
series_data = pd.Series(["apple", "banana", "cherry"])

# Get Series as array
array_data = series_data.array

# Display the array
print("Array")
print(array_data)

Output

Array
<NumpyExtensionArray>
['apple', 'banana', 'cherry']
Length: 3, dtype: object

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