Pandas Data Series: Convert a given Series to an array

Last update on April 03 2025 13:11:58 (UTC/GMT +8 hours)

9. Series to Array

Write a Pandas program to convert a given Series to an array.

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
s1 = pd.Series(['100', '200', 'python', '300.12', '400'])
print("Original Data Series:")
print(s1)
print("Series to an array")
a = s1.values
print(a)
print(type(a))

Sample Output:

Original Data Series:
0       100
1       200
2    python
3    300.12
4       400
dtype: object
Series to an array
['100' '200' 'python' '300.12' '400']
<class 'numpy.ndarray'>                     

Explanation:

s1 = pd.Series(['100', '200', 'python', '300.12', '400']): This code creates a Pandas Series object 's1' containing a sequence of five string values: ['100', '200', 'python', '300.12', '400'].

a = np.array(s1.values.tolist()): This code extracts the values of the Pandas Series object 's1' using the .values attribute and assigns them to a new variable 'a'.

For more Practice: Solve these Related Problems:

• Write a Pandas program to convert a Series with mixed types to a NumPy array and then change its data type to object.
• Write a Pandas program to convert a Series to a NumPy array and compute the mean of numeric elements.
• Write a Pandas program to convert a Series containing dates to a NumPy array and extract the year component.
• Write a Pandas program to convert a Series to a NumPy array and then reshape it to a 2D array.

Python-Pandas Code Editor:

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