This rule raises an issue when a deprecated Numpy alias of a built-in type is used.
Why is this an issue?
In NumPy, some built-in types such as int have aliases in the form of numpy.int. However, these aliases have been
deprecated and should not be used anymore.
The following deprecated aliases should be replaced with their built-in alternatives:
| Deprecated name |
Equivalent built-in type |
numpy.bool |
bool |
numpy.int |
int |
numpy.float |
float |
numpy.complex |
complex |
numpy.object |
object |
numpy.str |
str |
numpy.long |
int |
numpy.unicode |
str |
How to fix it
To fix this issue, make sure to replace deprecated NumPy type aliases with their corresponding built-in types.
Code examples
Noncompliant code example
import numpy as np
def foo():
x = np.int(42) # Noncompliant: deprecated type alias
Compliant solution
import numpy as np
def foo():
x = 42 # Compliant
Resources
Documentation
