There are a few possible reasons for this error:
1 .The error 'numpy' has no attribute 'float' usually occurs when you are trying to access the float attribute of the numpy module, but it does not exist. This can happen if you have a typo in your code, or if you are trying to access a feature that has been removed or renamed in a newer version of numpy.
To solve this error, you will need to correct any typos in your code and make sure that you are using the correct attribute or method of the numpy module.
import numpy as np # Correct way to create a float32 array array = np.array([1, 2, 3], dtype='float32') # Correct way to create a float array array = np.array([1, 2, 3], dtype=float)
- As I said, there may be a problem with the version of numpy that you have installed. It is possible that you are using an outdated version of the numpy module that does not have the float attribute.
numpy 1.20 numpy.float, numpy.int, and similar aliases are deprecated
numpy 1.24 numpy.float, numpy.int and similar aliases are removed. These aliases cause an error when they are used.
if you are using numpy 1.24+, you would see following errors if you try to access numpy.float or numpy.int
AttributeError: module 'numpy' has no attribute 'int'
AttributeError: module 'numpy' has no attribute 'float'
To avoid above errors, you can try updating numpy to the latest version by running
pip install --upgrade numpy
- If you are trying to use the float attribute of numpy to convert an array or a value to a floating point number, you can use the astype method of numpy arrays instead. For example:
import numpy as np # Convert an array to floating point arr = np.array([1, 2, 3]) arr = arr.astype(float) print(arr) # Convert a single value to floating point val = 1 val = float(val) print(val)
[1. 2. 3.] 1.0
## Convert an array to floating point 32 arr = np.array([1, 2, 3]) arr = arr.astype(np.float32) print(arr)
[1. 2. 3.]
Note - In latest version np.float is deprecated but not np.float32
Note: Don't use np.float
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