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

Last update on April 29 2025 13:00:14 (UTC/GMT +8 hours)

12. Array to Series Conversion

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

Sample Solution:

Python Code:

import numpy as np
import pandas as pd

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

Output:

Original NumPy array: [10 20 30 40 50]
Type: <class 'numpy.ndarray'>

NumPy array to a Pandas Series:
0    10
1    20
2    30
3    40
4    50
dtype: int32
Type: <class 'pandas.core.series.Series'>

Explanation:

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

For more Practice: Solve these Related Problems:

Write a Numpy program to convert a 1D NumPy array into a Pandas Series with a custom index and sort the series by index.
Write a Numpy program to convert a NumPy array to a Series and then apply a rolling window function to compute moving averages.
Write a Numpy program to convert a structured NumPy array into a Pandas Series with multi-level indices.
Write a Numpy program to convert a NumPy array to a Series and then reindex it to include additional missing values.

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