Pandas Data Series: Convert a NumPy array to a Pandas series

Pandas: Data Series Exercise-6 with Solution

Write a Pandas program to convert a NumPy array to a Pandas series.

Sample Solution :

Python Code :

import numpy as np
import pandas as pd
np_array = np.array([10, 20, 30, 40, 50])
print("NumPy array:")
print(np_array)
new_series = pd.Series(np_array)
print("Converted Pandas series:")
print(new_series)

Sample Output:

  NumPy array:
[10 20 30 40 50]
Converted Pandas series:
0    10
1    20
2    30
3    40
4    50
dtype: int64                               

Explanation:

np.array([10, 20, 30, 40, 50]): This code creates a NumPy array 'np_array' containing a sequence of five integers: [10, 20, 30, 40, 50].

new_series = pd.Series(np_array): This line creates a new Pandas Series object 'new_series' from the NumPy array using the pd.Series() constructor. The resulting Series object will have the same values as the NumPy array, and the default index will be assigned to each element starting from 0 and increasing by 1 for each subsequent element.

Python-Pandas Code Editor:

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