this is my code...
import pymesh
mesh = pymesh.load_mesh("cube.stl");
I got error like this
mesh_B = pymesh.load_mesh("cube.stl");
AttributeError: module 'pymesh' has no attribute 'load_mesh'
please help me to fix this error...and guide me how to install and setup pymesh
Thankyou...
Related
I am trying to run this code:
from pandas.io.parsers.readers import read_table
from tensorflow.python.ops.gen_io_ops import read_file
t_x, t_y = next(valid_gen)
But I always get this error:
AttributeError: module 'tensorflow' has no attribute 'read_file'.
I found that in many comments they mention that the function has been moved into the tensorflow.io module. Any one can help me to resolve this issue ?
Thanks
When I run the code below it shows me the error.
ImportError: torch.utils.ffi is deprecated. Please use cpp extensions instead.
I have been searching solution on the online. The problem is the code below working in old version of torch (0.4.1). I want to know whether it is possible to modify or replace this code for working in the new version of pytorch.
from torch.utils.ffi import _wrap_function
from ._nms import lib as _lib, ffi as _ffi
__all__ = []
def _import_symbols(locals):
for symbol in dir(_lib):
fn = getattr(_lib, symbol)
if callable(fn):
locals[symbol] = _wrap_function(fn, _ffi)
else:
locals[symbol] = fn
__all__.append(symbol)
_import_symbols(locals())
I am facing the same problem have just seen some useful information in:
https://pytorch.org/tutorials/advanced/cpp_extension.html
https://pytorch.org/docs/stable/cpp_extension.html
To avoid downgrade the version of PyTorch, you should consider to use the following libraries while finding more details in the above links:
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CppExtension
I am using python 3.8 in spyder3. I am getting an error while doing:
mp=MPRester('api key')
data = mp.query(criteria={}, properties=['task_id']) #this line raises error
The error is :
NameError: name '**IProgress**' is not defined.
During handling of the above exception, another exception occurred:
ImportError: **FloatProgress** not found. Please update jupyter and ipywidgets.
But I'm not working with Jupyter notebook and ipywidgets is updated. This problem doesn't happen while working in Google collab.
Installing these two worked for me:
pip install ipywidgets IProgress
I am not answering the error but showing a worked script for me. Using the following approach might help.
from pymatgen import MPRester
api = MPRester("your key")
# criteria you want
criteria={"elements":{"$all": ["O"]}, "nelements":{'$lt':4}}
# properties you want
properties = ["pretty_formula", "cif", "material_id"]
c = api.query(criteria=criteria,properties=properties)
I am a Python newbie currently looking into Crash Course Ai #5 How to Make an AI read your handwriting (LAB).
Running Step 1.2 gives me *NameError: name 'extract_training_samples' is not defined.
Tried so far: 1) updated pip version to 20.0.2 and installed emnist python package
2) tried an additional line of code: from emnist import extract_training_samples but got a ModuleNotFound error.
Feedback appreciated!
OK, very simple solution!
You just forgot the "s".
I find myself running into that problem all the time when coding. Whenever I run into a Name Error, the first thing I do is check my spelling!
your code:
x, y = extract_training_sample('letters')
the code on the website:
extract_training_samples('letters')
Cheers,
I tried to run following program of using python 3.5.1.
from scipy import optimize
optimize.anneal(f, input_vector0, lower = 0, upper = 2*np.pi)
I got the following error message:
AttributeError: module 'scipy.optimize' has no attribute 'anneal'.
Can anybody tell me what should I do to fix this? i really appreciate it !
The problem is that it is removed in 0.16 and higher.
Replace anneal with basinhopping.
refer to link