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Python is a language with a very bright appearance, clear structure, convenient for beginners, and easy to learn; widely used in the development of artificial intelligence. Python’s structure also allows users to write code with minimal keystrokes.

“**How to make natural log in Python**“, it’s one of the most common programming questions. So, what can we do? We’ll discuss it together to find the best solution.

**The best methods to make natural log in Python**

Now we’ll look at the following solutions. We believe that you will benefit from all of them.

**Solution 1: Use the import**

Natural log can be used in Python by using the import. The base of a number’s natural log is e, where e = 2.718. As an example, consider the following:

```
from numpy import log as ln
var = ln(2)
print(var)
```

Output:

`0.6931471805599453`

**Solution 2: Use the log()**

You can use a natural log by using the log(). The base of a number’s natural log is e, where e = 2.718. As an example, consider the following:

```
import numpy
var = numpy.log(2)
print(var)
```

Output:

`0.6931471805599453`

**Solution 3: **

The NumPy package [numpy.log() function]/api/numpy/python-numpy-log/ returns the natural log of the number passed in the parameters.

The base of a number’s natural log is e, where e = 2.718. The log() function is used in the following Python code example to compute the natural log of a number.

```
import numpy
x = numpy.log(10)
print(x)
```

Output:

`2.302585092994046`

In the preceding code, we compute the natural log of 10 using the numpy.log() function. The code above works perfectly. However, it is not user-friendly. Logarithm with base 10 is denoted by log, and natural logarithm with base e is denoted by ln.

### Solution 4: Do this way

Do this command for making natural log in Python

```
Input array : [1, 3, 5, 256]
Output array : [ 0. 1.09861229 1.60943791 5.54517744]
np.log(4**4) : 5.54517744448
np.log(2**8) : 5.54517744448
```

## Conclusion

In short, keep reading if you’re still stumped by the question “**How to make natural log in Python”**. The above options are the most practical for all of us.

If you still require assistance or have problems, we have a large community where everyone is generally eager to assist. Last but not least, we wish all users a wonderful day full of new code solutions and appreciate your time spent reading.

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