How to use float128 In Python

The data type float64 can be changed to float128.

Example: Program to fix the warning

Python3

import numpy as np 
  
x = 789
x = np.float128(x) 
print(np.exp(x)) 

Output:

Using float128

For ndarray you can use the dtype parameter of the array method.

Example: Program to produce output without using dtype

Python3

import numpy as np 
  
cc = np.array([789, 0.34, -1234.1]) 
print(np.exp(cc)) 

Output:

without using dtype

Example: Fixed warning by using dtype

Python3

import numpy as np 
  
cc = np.array([789, 0.34, -1234.1], dtype=np.float128) 
print(np.exp(cc)) 

Output:

using dtype

How to Fix: RuntimeWarning: Overflow encountered in exp

In this article we will discuss how to fix RuntimeWarning: overflow encountered in exp in Python.

This warning occurs while using the NumPy library’s exp() function upon using on a value that is too large. This function is used to calculate the exponential of all elements in the input array or an element (0-D Array of NumPy).

Example: Code to depict warning

Python3

import numpy as np 
  
print(np.exp(789)) 

Output:

The output is infinity cause e^789 is a very large value

This warning occurs because the maximum size of data that can be used in NumPy is float64 whose maximum range is 1.7976931348623157e+308. Upon taking logarithm its value becomes 709.782. For any larger value than this, the warning is generated.

Let us discuss ways to fix this.