Python:NumPy .cumprod()

In NumPy, the .cumprod() function computes the cumulative product of elements in an array along a specified axis. Each element in the result is the product of all preceding elements (including the current one) along the chosen axis.

Syntax

numpy.cumprod(a, axis=None, dtype=None, out=None)

Parameters:

• a: Input array for which the cumulative product is to be calculated.
• axis (Optional): Axis along which the cumulative product is computed. Default is None, the input is flattened.
• dtype (Optional): The data type of the output array. Defaults to the type of the input array.
• out (Optional): Alternative output array to place the result. If provided, it must have the same shape as the expected output.

Return value:

Returns a NumPy array containing the cumulative product of elements along the specified axis.

Example

The following example demonstrates how to compute the cumulative product of elements using .cumprod():

import numpy as np

# Create an array
array = np.array([1, 2, 3, 4, 5])

# Compute the cumulative product of the array
cumulative_product = np.cumprod(array)

# Print out the original array
print("Original Array:", array)

# Print out the returned array
print("Cumulative Product:", cumulative_product)

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The code produces the following output:

Original Array: [1 2 3 4 5]
Cumulative Product: [ 1 2 6 24 120]

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Codebyte Example

Run this interactive code example to see how .cumprod() works for both 1D and 2D arrays with axis variation:

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