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Description
🤓 Before submitting the issue
- I have visited the Troubleshooting section.
- I have searched among the existing issues.
- I am using a Python virtual environment.
- I am using the latest version of PyMAPDL and its dependencies (fully updated virtual environment). You can update them using
pip install --upgrade --upgrade-strategy eager ansys-mapdl-core.
🔍 Description of the bug
Example MAPDL 2D Plane Stress Concentration Analysis failes in the post processing block.
🕵️ Steps To Reproduce
# grab the result from the ``mapdl`` instance
result = mapdl.result
result.plot_principal_nodal_stress(
0,
"SEQV",
lighting=False,
cpos="xy",
background="w",
text_color="k",
add_text=False,
)
nnum, stress = result.principal_nodal_stress(0)
von_mises = stress[:, -1] # von-Mises stress is the right most column
# Must use nanmax as stress is not computed at mid-side nodes
max_stress = np.nanmax(von_mises)---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Input In [11], in <cell line: 3>()
1 # grab the result from the ``mapdl`` instance
2 result = mapdl.result
----> 3 result.plot_principal_nodal_stress(
4 0,
5 "SEQV",
6 lighting=False,
7 cpos="xy",
8 background="w",
9 text_color="k",
10 add_text=False,
11 )
File /opt/conda/lib/python3.9/site-packages/ansys/mapdl/reader/rst.py:2678, in Result.plot_principal_nodal_stress(self, rnum, comp, show_displacement, displacement_factor, node_components, element_components, sel_type_all, treat_nan_as_zero, **kwargs)
2676 comp = comp.upper()
2677 idx = check_comp(PRINCIPAL_STRESS_TYPES, comp)
-> 2678 stress = self.principal_nodal_stress(rnum)[1][:, idx]
2680 if node_components:
2681 grid, ind = self._extract_node_components(node_components, sel_type_all)
File /opt/conda/lib/python3.9/site-packages/ansys/mapdl/reader/rst.py:2609, in Result.principal_nodal_stress(self, rnum, nodes)
2607 # get component stress
2608 nodenum, stress = self.nodal_stress(rnum, nodes)
-> 2609 pstress, isnan = _binary_reader.compute_principal_stress(stress)
2610 pstress[isnan] = np.nan
2611 return nodenum, pstress
File ansys/mapdl/reader/cython/_binary_reader.pyx:1607, in ansys.mapdl.reader._binary_reader.compute_principal_stress()
File /opt/conda/lib/python3.9/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 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
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
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Input In [11], in <cell line: 3>()
1 # grab the result from the ``mapdl`` instance
2 result = mapdl.result
----> 3 result.plot_principal_nodal_stress(
4 0,
5 "SEQV",
6 lighting=False,
7 cpos="xy",
8 background="w",
9 text_color="k",
10 add_text=False,
11 )
File /opt/conda/lib/python3.9/site-packages/ansys/mapdl/reader/rst.py:2678, in Result.plot_principal_nodal_stress(self, rnum, comp, show_displacement, displacement_factor, node_components, element_components, sel_type_all, treat_nan_as_zero, **kwargs)
2676 comp = comp.upper()
2677 idx = check_comp(PRINCIPAL_STRESS_TYPES, comp)
-> 2678 stress = self.principal_nodal_stress(rnum)[1][:, idx]
2680 if node_components:
2681 grid, ind = self._extract_node_components(node_components, sel_type_all)
File /opt/conda/lib/python3.9/site-packages/ansys/mapdl/reader/rst.py:2609, in Result.principal_nodal_stress(self, rnum, nodes)
2607 # get component stress
2608 nodenum, stress = self.nodal_stress(rnum, nodes)
-> 2609 pstress, isnan = _binary_reader.compute_principal_stress(stress)
2610 pstress[isnan] = np.nan
2611 return nodenum, pstress
File ansys/mapdl/reader/cython/_binary_reader.pyx:1607, in ansys.mapdl.reader._binary_reader.compute_principal_stress()
File /opt/conda/lib/python3.9/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 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
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#deprecationsApparently something changed in Numpy.
💻 Which Operating System are you using?
Windows
🐍 Which Python version are you using?
3.9
📝 PyMAPDL Report
Show the Report!
# PASTE HERE THE OUTPUT OF `python -c "from ansys.mapdl import core as pymapdl; print(pymapdl.Report())"` here
📝 Installed packages
Show the installed packages!
# PASTE HERE THE OUTPUT OF `python -m pip freeze` here
📝 Logger output file
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# PASTE HERE THE CONTENT OF THE LOGGER OUTPUT FILE.
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