How to convert a Pandas series to a NumPy array and print it?

Last update on December 21 2024 07:36:31 (UTC/GMT +8 hours)

NumPy: Interoperability Exercise-11 with Solution

Write a NumPy program to convert a Pandas Series to a NumPy array and print the array.

Sample Solution:

Python Code:

import pandas as pd
import numpy as np

# Create a Pandas Series
series = pd.Series([10, 20, 30, 40, 50])
print("Original Pandas Series:",series)
print("Type:",type(series))
# Convert the Pandas Series to a NumPy array
array = series.to_numpy()
print("\nPandas Series to a NumPy array:")
# Print the NumPy array
print(array)
print("Type:",type(array))

Output:

Original Pandas Series: 0    10
1    20
2    30
3    40
4    50
dtype: int64
Type: <class 'pandas.core.series.Series'>

Pandas Series to a NumPy array:
[10 20 30 40 50]
Type: <class 'numpy.ndarray'>

Explanation:

• Import Pandas and NumPy Libraries: Import the Pandas and NumPy libraries to work with Series and arrays.
• Create Pandas Series: Define a Pandas Series with some example data.
• Convert to NumPy Array: Use the to_numpy() method of the Pandas Series to convert it into a NumPy array.
• Print NumPy Array: Output the resulting NumPy array to verify the conversion.

Python-Numpy Code Editor: