Python's **`numpy.log()`** is a mathematical function that computes the natural logarithm of an input array's elements. 

> The **natural logarithm** is the inverse of the exponential function, such that log (exp(x)) = x.  

# Syntax
`numpy.log` is declared as shown below:

```python
numpy.log(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'log'>
```
In the syntax above, `x` is the non-optional parameter and the rest are optional parameters. 

> A **universal function** (ufunc) is a function that operates on ndarrays in an element-by-element fashion. The `log()` method is a universal function. 


# Parameters
The `numpy.log()` method takes the following compulsory parameter:

* **`x`** [*array-like*] - input array.

The `numpy.log()` method takes the following optional parameters:

# Return value
`numpy.log()` returns the element-wise natural logarithm of values in `x`. If `x` is scalar, the return type is also scalar.

* If `x` is a real-valued data type, the return type will also be a real value. If a value cannot be written as a real value, then `NaN` is returned. 

* If `x` is a complex-valued input, the `numpy.log` method has a branch cut [`-inf`,`0`], and it is continuous above it. 

# Examples
In the example below, `numpy.log()` computes the natural logarithm of two numbers, `a` and `b`: 

import numpy as np

a = 0.5 
b = np.exp(8.9)
print (np.log(a))
print (np.log(b))

In the example below, `numpy.log()` computes the element-wise natural logarithm of the array `arr1`:

import numpy as np

arr1 = np.array([1,2,0,3,4])
print (np.log(arr1))

What is numpy.log() in Python?

Python’s numpy.log() computes the natural logarithm of array elements, inverse of exp(x).

Parameter	Description
out	represents the location into which the output of the method is stored.
where	True value indicates that a universal function should be calculated at this position.
casting	controls the type of datacasting that should occur. The same_kind option indicates that safe casting or casting within the same kind should take place.
order	controls the memory layout order of the output function. The option K means reading the elements in the order they occur in memory.
dtype	represents the desired data type of the array.
subok	decides if subclasses should be made or not. If True, subclasses will be passed through.