# Overview
The **`numpy.cumprod()`** function in **NumPy** computes the cumulative product of the elements in a given input array over a given axis.

# Syntax

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

# Parameter values

The `numpy.cumprod()` function takes the following parameter values:
* **`a`** (required): This is the input array that contains numbers to be computed. 
* **`axis`** (optional): This is the axis along which the product is determined.
* **`dtype`** (optional): This is the data type of the output array.
* **`out`** (optional): This is the alternate array where the result is placed.

# Return value

The `numpy.cumprod()` function returns an output array that holds the result.

# Code example


import numpy as np

# Creating an array
x = np.array([1, 2, 3])

# Invoking the numpy.cumprod() function 
myarray = np.cumprod(x, axis=0)

print(x)
print(myarray)

## Explanation
* **Line 1**: We import the **`numpy`** module.
* **Line 4**: We create an array **`x`** using the **`array()`** method.
* **Line 7**: We invoke the `np.cumprod()` function on the array. The result is assigned to the variable **`myarray`**.
* **Line 9**: We print the input array `x`.
* **Line 10**: We print the variable `myarray`.

What is the numpy.cumprod() function in NumPy?

Computes the cumulative product of array elements over a selected axis using flexible parameters.