Python:NumPy size

NumPy’s size attribute is used to find the total number of elements in an array.

Syntax

ndarray.size

Parameters:

size doesn’t take any parameters because it’s an attribute, not a method.

Return value:

Returns an integer representing the total number of elements in the array.

Example 1: Getting the Size of an Array Using size

In this example, the code prints the total number of elements in the array:

import numpy as np

np_array = np.array([[1, 2, 3], [4, 5, 6]])
print(np_array.size)

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The output of this code is:

6

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The array has 2 rows × 3 columns = 6 elements in total.

Example 2: Comparing .shape and .size

In this example, shape displays the array’s dimensions, while size shows the total number of elements in the array:

import numpy as np

arr = np.array([[10, 20, 30], [40, 50, 60]])
print("Shape:", arr.shape)
print("Size:", arr.size)

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The output of this code is:

Shape: (2, 3)
Size: 6

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shape returns the dimensions of the array, while size gives the total number of elements.

Codebyte Example: Using .size in a NumPy Operation

In this example, size returns the total number of elements (12) in a reshaped 3×4 NumPy array:

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