Fix AttributeError: module ‘numpy’ has no attribute ‘float’
Below are some of the ways by which we can fix AttributeError: module ‘numpy’ has no attribute ‘float’ in Python:
Directly Use Python Built-in Types
Using the built-in Python types directly means replacing the outdated numpy attribute (np.float) with the standard Python type (float). This solution ensures compatibility with recent numpy versions and avoids the “AttributeError: module ‘numpy’ has no attribute ‘float'” error.
import numpy as np
# numpy inbuilt float datatype
x = np.array([1, 2, 3], dtype=float)
print(x)
Output:
[1. 2. 3.]
Explicitly Specify Python Types
Explicitly specifying Python types involves using dtype=’float64′ or dtype=’float32′ in numpy arrays instead of relying on the deprecated np.float attribute.
import numpy as np
# explicitily specifying float datatype
x = np.array([1, 2, 3], dtype='float64')
print(x)
Output:
[1. 2. 3.]
How to fix AttributeError: module numpy has no attribute float’ in Python
While working with the Python NumPy module, you might encounter the error “module ‘numpy’ has no attribute ‘float'”. This error arises because numpy’s float attribute has been deprecated and removed in favor of using standard Python types. In this article, we will learn how to fix “AttributeError: module ‘numpy’ has no attribute ‘float'”.
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