SkBlaz
Issue with importing multinet from py3plex.core
When importing the multinet module from py3plex.core as in the example, an error with numpy's int attribute occurs: AttributeError Traceback (most recent call last) Cell In[2], line 1 ----> 1 from py3plex.core import multinet 2 from py3plex.core import random_generators 3 # import numpy as np 4 # import queue 5 # import matplotlib.pyplot as plt (...) 8 # ## some random graph 9 # ER_multilayer = random_generators.random_multilayer_ER(3000,10,0.05,directed=False)
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\py3plex\core\multinet.py:3 1 # This is the main data structure container ----> 3 import networkx as nx 4 import itertools 5 from . import parsers
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx_init_.py:115 112 import networkx.generators 113 from networkx.generators import * --> 115 import networkx.readwrite 116 from networkx.readwrite import * 118 # Need to test with SciPy, when available
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx\readwrite_init_.py:15 13 from networkx.readwrite.nx_yaml import * 14 from networkx.readwrite.gml import * ---> 15 from networkx.readwrite.graphml import * 16 from networkx.readwrite.gexf import * 17 from networkx.readwrite.nx_shp import *
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx\readwrite\graphml.py:314 310 raise nx.NetworkXError('file not successfully read as graphml') 311 return glist[0] --> 314 class GraphML(object): 315 NS_GRAPHML = "http://graphml.graphdrawing.org/xmlns" 316 NS_XSI = "http://www.w3.org/2001/XMLSchema-instance"
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx\readwrite\graphml.py:346, in GraphML() 341 pass 342 else: 343 # prepend so that python types are created upon read (last entry wins) 344 types = [(np.float64, "float"), (np.float32, "float"), 345 (np.float16, "float"), (np.float_, "float"), --> 346 (np.int, "int"), (np.int8, "int"), 347 (np.int16, "int"), (np.int32, "int"), 348 (np.int64, "int"), (np.uint8, "int"), 349 (np.uint16, "int"), (np.uint32, "int"), 350 (np.uint64, "int"), (np.int_, "int"), 351 (np.intc, "int"), (np.intp, "int"), 352 ] + types 354 xml_type = dict(types) 355 python_type = dict(reversed(a) for a in types)
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\numpy_init_.py:313, in getattr(attr)
308 warnings.warn(
309 f"In the future np.{attr} will be defined as the "
310 "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
312 if attr in former_attrs:
--> 313 raise AttributeError(former_attrs[attr])
315 if attr == 'testing':
316 import numpy.testing as testing
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
Hi! Either downgrade your numpy, or, if possible, open a PR with the suggested change so this is fixed also for others. Thanks!
On Fri, 29 Mar 2024, 05:44 nico-dangelo, @.***> wrote:
When importing the multinet module from py3plex.core as in the example, an error with numpy's int attribute occurs: AttributeError Traceback (most recent call last) Cell In[2], line 1 ----> 1 from py3plex.core import multinet 2 from py3plex.core import random_generators 3 # import numpy as np 4 # import queue 5 # import matplotlib.pyplot as plt (...) 8 # ## some random graph 9 # ER_multilayer = random_generators.random_multilayer_ER(3000,10,0.05,directed=False)
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\py3plex\core\multinet.py:3 1 # This is the main data structure container ----> 3 import networkx as nx 4 import itertools 5 from . import parsers
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx_ init_.py:115 112 import networkx.generators 113 from networkx.generators import * --> 115 import networkx.readwrite 116 from networkx.readwrite import * 118 # Need to test with SciPy, when available
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx\readwrite_ init_.py:15 13 from networkx.readwrite.nx_yaml import * 14 from networkx.readwrite.gml import * ---> 15 from networkx.readwrite.graphml import * 16 from networkx.readwrite.gexf import * 17 from networkx.readwrite.nx_shp import *
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx\readwrite\graphml.py:314 310 raise nx.NetworkXError('file not successfully read as graphml') 311 return glist[0] --> 314 class GraphML(object): 315 NS_GRAPHML = "http://graphml.graphdrawing.org/xmlns" 316 NS_XSI = "http://www.w3.org/2001/XMLSchema-instance"
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\networkx\readwrite\graphml.py:346, in GraphML() 341 pass 342 else: 343 # prepend so that python types are created upon read (last entry wins) 344 types = [(np.float64, "float"), (np.float32, "float"), 345 (np.float16, "float"), (np.float_, "float"), --> 346 (np.int, "int"), (np.int8, "int"), 347 (np.int16, "int"), (np.int32, "int"), 348 (np.int64, "int"), (np.uint8, "int"), 349 (np.uint16, "int"), (np.uint32, "int"), 350 (np.uint64, "int"), (np.int_, "int"), 351 (np.intc, "int"), (np.intp, "int"), 352 ] + types 354 xml_type = dict(types) 355 python_type = dict(reversed(a) for a in types)
File ~\AppData\Local\Programs\Python\Python39\lib\site-packages\numpy_ init_.py:313, in getattr(attr) 308 warnings.warn( 309 f"In the future np.{attr} will be defined as the " 310 "corresponding NumPy scalar.", FutureWarning, stacklevel=2) 312 if attr in former_attrs: --> 313 raise AttributeError(former_attrs[attr]) 315 if attr == 'testing': 316 import numpy.testing as testing
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
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