Module ‘scipy’ has no attribute ‘integrate’ ( Solved )

Module 'scipy' has no attribute 'integrate'

Scipy is mostly used for scientific and technical computing in an efficient way. To do this there are many functions in it that perform specific tasks. The scipy integrate module is one of them. If you are getting the error AttributeError: module ‘scipy’ has no attribute ‘integrate’ then this post is for you. In this entire post, you will know when this error comes and how to solve it.

What is Scipy Integrate Module?

As you already know that Scipy is an open-source python package for statistical calculations. The module scipy.integrate is one of them. It allows you to find the integration for the input data. In addition it provides several integration techniques including an ordinary differential equation integrator.

The root cause of module ‘scipy’ has no attribute ‘integrate’ Error

The root cause for getting the AttributeError: module ‘scipy’ has no attribute ‘integrate’ is that you are not properly importing the integrate module from the scipy packages. For example, you are first importing scipy and then importing integrate module from it.

You will get the attributeError when you will run the below code.

import scipy


module 'scipy' has no attribute 'integrate' error
‘scipy’ has no attribute ‘integrate’ error

The same error you will get when you will directly import the integrate module from the scipy like below.

import scipy.integrate

Solution  of module ‘scipy’ has no attribute ‘integrate’ Error

The solution to the above attributeError is very simple. You have to just import the integrate module in a proper way like below.

import scipy
from scipy import integrate

Now you will not get the error.


Scipy python package contains a large number of mathematical function that helps you to calculate probability distributions, statistics, correlation e.t.c. Most of cases the attribute error comes when you are not properly importing the integrate module. The above solution will solve this issue.

I hope you have liked this tutorial. If you have any queries then you can contact us for more help.

Join our list

Subscribe to our mailing list and get interesting stuff and updates to your email inbox.

Thank you for signup. A Confirmation Email has been sent to your Email Address.

Something went wrong.

Meet Sukesh ( Chief Editor ), a passionate and skilled Python programmer with a deep fascination for data science, NumPy, and Pandas. His journey in the world of coding began as a curious explorer and has evolved into a seasoned data enthusiast.
Thank you For sharing.We appreciate your support. Don't Forget to LIKE and FOLLOW our SITE to keep UPDATED with Data Science Learner