NumPy: Convert a list of numeric value into a one-dimensional NumPy array

Last update on November 21 2023 12:06:59 (UTC/GMT +8 hours)

NumPy: Array Object Exercise-2 with Solution

Write a NumPy program to convert a list of numeric values into a one-dimensional NumPy array.

Python NumPy: Convert a list of numeric value into a one-dimensional NumPy array

Sample Solution:

Python Code:

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating a Python list 'l' containing floating-point numbers
l = [12.23, 13.32, 100, 36.32]

# Printing the original Python list
print("Original List:", l)

# Creating a NumPy array 'a' from the Python list 'l'
a = np.array(l)

# Printing the one-dimensional NumPy array 'a'
print("One-dimensional NumPy array: ", a)

Sample Output:

Original List: [12.23, 13.32, 100, 36.32]                               
One-dimensional NumPy array:  [  12.23   13.32  100.     36.32]

Explanation:

In the above code -

The above code converts a Python list of floating-point numbers into a one-dimensional NumPy array and prints the result.

numpy.array: Create an array.

Syntax: numpy.array(object, dtype=None, copy=True, order=’K’, subok=False, ndmin=0)

Parameters:

Name	Description	Required / Optional
object	An array, any object exposing the array interface.	Required
dtype : data-type, optional	The desired data-type for the array.	Optional
copy (bool)	If true (default), then the object is copied.	Optional
order : 'K', 'A', 'C', 'F'	Specify the memory layout of the array. If object is not an array, the newly created array will be in C order (row major) unless ‘F’ is specified, in which case it will be in Fortran order.	Optional
subok (bool)	If True, then sub-classes will be passed-through, otherwise the returned array will be forced to be a base-class array.	Optional
ndmin (int)	Specifies the minimum number of dimensions that the resulting array should have.	Optional

Python-Numpy Code Editor:

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