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.
For example, if you are trying to create a float32 array using numpy, you should use the float32 dtype, not the float attribute:
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importnumpyasnp# Correct way to create a float32 arrayarray=np.array([1,2,3],dtype='float32')# Incorrect way to create a float32 array (causes the 'numpy' has no attribute 'float' error)array=np.array([1,2,3],dtype=np.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 It is possible that you are using an outdated version of the numpy module that does not have the float attribute. In this case, you can try updating numpy to the latest version by running
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pipinstall--upgradenumpy- 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:
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importnumpyasnp# Convert an array to floating pointarr=np.array([1,2,3])arr=arr.astype(float)print(arr)# Convert a single value to floating pointval=1val=float(val)print(val)[1. 2. 3.] 1.0
Note: Don't use np.float