CODEWITHSUNDEEP
pythonpython-3.xnumpyscipy
user288609
user288609

Reputation: 13055

regarding the error message of float object cannot be interpreted as an integer

I uses the following line of code to define a multi-dimensional array to save a set of images represented as two-dimensional array as well. 

 import numpy as np
 imgs = np.ndarray((100, 1, image_rows, image_cols), dtype=np.float32)

Here, 100 represents that there have 100 images in total. However, running the program gives the following error message TypeError: 'float' object cannot be interpreted as an integer. What does it mean and how to solve it?

Upvotes: 2

Views: 4717

Answers (1)

Warren Weckesser
Warren Weckesser

Reputation: 114946

You will get that error if image_rows or image_cols are floating point values:

In [15]: imgs = np.ndarray((100, 1, 5.0, 10.0), dtype=np.float32)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-15-c7783d157b42> in <module>()
----> 1 imgs = np.ndarray((100, 1, 5.0, 10.0), dtype=np.float32)

TypeError: 'float' object cannot be interpreted as an integer

Convert the values to integers first:

imgs = np.ndarray((100, 1, int(image_rows), int(image_cols)), dtype=np.float32)

Upvotes: 1

Related Questions