DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`.

解决numpy警告:DeprecationWarning与librosa环境冲突
在使用librosa库时遇到`DeprecationWarning:np.float is a deprecated alias for the builtin float.`警告。该警告源于numpy版本过高,建议将numpy版本回退到1.19.3以消除警告。这样做不会改变任何行为且是安全的。如果你需要numpy的浮点类型,应使用np.float64。

DeprecationWarning: np.float is a deprecated alias for the builtin float.

报错:DeprecationWarning: np.float is a deprecated alias for the builtin float. To silence this warning, use float by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64 here.

环境中 librosa==0.7.0
解决方案:将numpy版本下调只1.19.3

C:\Miniconda3\python.exe D:/pytest/zh3.py C:\Miniconda3\lib\site-packages\sklearn\feature_extraction\image.py:167: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dtype=np.int): C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:30: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations method='lar', copy_X=True, eps=np.finfo(np.float).eps, C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:167: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations method='lar', copy_X=True, eps=np.finfo(np.float).eps, C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:284: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_Gram=True, verbose=0, C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:862: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, fit_path=True, C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:1101: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, fit_path=True, C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:1127: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, positive=False): C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:1362: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps, C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:1602: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations max_n_alphas=1000, n_jobs=None, eps=np.finfo(np.float).eps, C:\Miniconda3\lib\site-packages\sklearn\linear_model\least_angle.py:1738: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations eps=np.finfo(np.float).eps, copy_X=True, positive=False): C:\Miniconda3\lib\site-packages\sklearn\decomposition\online_lda.py:29: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations EPS = np.finfo(np.float).eps Traceback (most recent call last): File "D:/pytest/zh3.py", line 9, in <module> import pyLDAvis.gensim ModuleNotFoundError: No module named 'pyLDAvis.gensim' Process finished with exit code 1
06-11
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