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版本为2.4的networkx中networkx/readwrite/graphml.py引用了np.int,而在版本1.20之后的numpy废弃了该接口而需要指定为np.int64或np.int32。报错为:
AttributeError: module 'numpy' has no attribute 'int'. np.int was a deprecated alias for the builtin int. To avoid this error in existing code, 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.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
而在版本为3.1的networkx中解决了这个依赖问题,应该修改版本为2.4的networkx的源码还是升级为版本3.1的networkx?(其他模块有对numpy的依赖,不能降级numpy版本)
The text was updated successfully, but these errors were encountered:
版本为2.4的networkx中networkx/readwrite/graphml.py引用了np.int,而在版本1.20之后的numpy废弃了该接口而需要指定为np.int64或np.int32。报错为:
AttributeError: module 'numpy' has no attribute 'int'.
np.int
was a deprecated alias for the builtinint
. To avoid this error in existing code, useint
by itself. Doing this will not modify any behavior and is safe. When replacingnp.int
, you may wish to use e.g.np.int64
ornp.int32
to specify the precision. If you wish to review your current use, check the release note link for additional information.The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
而在版本为3.1的networkx中解决了这个依赖问题,应该修改版本为2.4的networkx的源码还是升级为版本3.1的networkx?(其他模块有对numpy的依赖,不能降级numpy版本)
The text was updated successfully, but these errors were encountered: