Creating a NumPy ndarray Object

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Creating a NumPy ndarray Object

NumPy is a powerful Python library used for working with arrays. In NumPy, the core data structure is called an ndarray (short for N-dimensional array).

You can create a NumPy ndarray object using the `array()` function.

Program:

import numpy as np arr = np.array([1, 2, 3, 4, 5]) print(arr) print(type(arr))

The `type()` function is a built-in Python method that returns the type of the object passed to it. In the example above, it confirms that `arr` is a `numpy.ndarray`.

Creating an ndarray from Different Array-Like Structures

To create an ndarray, you can pass in a list, tuple, or any array-like object to the `array()` function. It will be automatically converted into an ndarray.

Program:

Using a tuple to create a NumPy array:

import numpy as np arr = np.array((1, 2, 3, 4, 5)) print(arr)

This code will create a NumPy array from the given tuple and print the result.

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