Understanding and Resolving the “TypeError: can’t convert type ‘ndarray’ to numerator/denominator” Error in Python

Introduction

Have you ever come across the perplexing “TypeError: can’t convert type ‘ndarray’ to numerator/denominator” error in your Python code? If so, don’t worry; you’re not alone. In this blog post, we’ll unravel the mystery behind this error and guide you through the steps to resolve it. So let’s dive in and understand why this error occurs and how you can fix it in your Python code.

Understanding the Error

The “TypeError: can’t convert type ‘ndarray’ to numerator/denominator” error typically arises when you attempt to pass an ndarray (n-dimensional array) to a function or method that expects a different data type or format. Let’s take a closer look at the code snippet you provided:

code








import numpy as np
import cv2
from skimage.feature import local_binary_pattern
import statistics 

# ...

lbp = local_binary_pattern(gray_img, p, radius, method='uniform') 
val = statistics.stdev(lbp) # Error occurs here

In this code, you calculate the local binary pattern (lbp) using the local_binary_pattern function from the skimage.feature module. However, when you pass lbp to the statistics.stdev function, you encounter the “TypeError: can’t convert type ‘ndarray’ to numerator/denominator” error.

Resolving the “TypeError: can’t convert type ‘ndarray’ to numerator/denominator” Error

To resolve this error, you need to ensure that you provide the appropriate data type to the statistics.stdev function. Follow these steps:

1. Flatten the lbp ndarray using the flatten() method to convert it into a one-dimensional array. Update the code as follows:pythonCopy codeval = statistics.stdev(lbp.flatten()) By flattening the ndarray, you transform it into a format that can be processed correctly by the statistics.stdev function.

Conclusion

In this blog post, we explored the “TypeError: can’t convert type ‘ndarray’ to numerator/denominator” error that you encountered in your Python code. We discussed the cause of this error and provided a step-by-step solution to resolve it. Remember to flatten the ndarray before passing it to the statistics.stdev function to ensure compatibility with the expected data type.

We hope this article has helped you understand and fix the “TypeError: can’t convert type ‘ndarray’ to numerator/denominator” error in your Python code.