I have Python 3.9.1 with numpy 1.19.4 install, and Maya 2020. I have installed a plug-in (SMPL, actually, from here: https://smpl.is.tue.mpg.de/downloads), loads without any problems, but errors when it hits the first line that actually references numpy ('''np.array()'''...) with the error being this:
'module' object has no attribute 'array'
I suspect I may be using a version of numpy that Maya does not like. Has anybody else come across this? Any hints on how to resolve would be most welcome. Thanks!
OK, solved! Thanks #mad-physicist for nudging me towards the correct direction.
The issue boiled down to requiring a maya-compatible build of numpy, to be pip-installed under the specific python instance (mayapy.exe) that ships with the Maya installation.
The details here: https://forums.autodesk.com/t5/maya-programming/numpy-2018-2019/td-p/9349010
It is supposed to be for Maya 2018 and 2019, but it worked just fine with my 2020 installation too.
Related
I have a 2021 Macbook pro M1.
It is a well recognized problem that it conflicts with Tensoflow library, see here or here; in particular this last one was exactly the issue I experienced: when I tried to import tensorflow in jupyter notebook via the command
import tensorflow as tf
then the message
The kernel appears to have died. It will restart automatically.
appeared. Then searching in the above linked discussions, I have the feeling that the suggestion given at some point, which points at this link, SEEMS to be useful.
FIRST QUESTION: is this a/the solution for the M1-Tensorflow conflict?
I say "it seems" since before trying that I have been into the kind of tornado of desperate attempts leading a beginner like me to search for hints all around the web and then copy-paste commands taken here and there into the Terminal without understanding them all properly.
On one hand it sounds dumb, I admit, on the other the cost of understanding everything goes well beyond my humble intentions of learning some ML.
So, the final result is that I have a complete mess in my computer; the old libraries like numpy don't work anymore (when I import them inside a Python3 page opened with jupyter notebook with the command import numpy as np, the message
ModuleNotFoundError: No module named 'numpy'
appears), then the pip command doesn't work, if I use the pip3 to install, nothing changes. I read somewhere to use a virtual enviroment, and I followed the instructions even if I wasn't really aware of what I was doing; I downloaded XCode, miniforge3...
Well, I guess that there is somebody out there who can relate with this.
SECOND PROBLEM: I would like to clean-up everything dealing with Python/pip/anaconda and so on and install everything from scratch, possibly following the above link to solve the M1-tensorflow conflict...if it is correct. How can I do that?
Can somebody help me, please? Thanks
I'm trying to import data from Robinhood through robin_stocks. I was able to import the package, but when I try to use the .login() attribute, it returns this error message in the Jupyter Notebook: error
module 'robin_stocks' has no attribute 'login'
I'm certain that robin_stocks does, indeed have the attribute that Python is telling me doesn't exist. Where did I go wrong here?
I'm relatively new to programming, but usually I can find an answer to my questions pretty quickly on StackOverflow or any other resource. I can't seem to figure this one out, though.
Any help would be greatly appreciated. Thank you!
I had the same error when upgrading from 1.7.x to 2.0.3
I was able to solve this by changing the import from:
import robin_stocks as rs
To:
import robin_stocks.robinhood as rs
Check the version of the package that you are using. I actually had the same issue when I migrated to a new laptop and installed packages again. I turned out that a newer robin-stocks python package got installed and resulted in an attribute error for my previously functioning code. When I reverted back to the older version of the package (1.5.5) my code worked like a charm.
Bro, we can't guess what you has typed in your code, please link it to us.
But if you have some issues with basic method of module, i think some thing gone wrong with import
I use Anaconda on a Windows 10 laptop with Python 2.7 and Spark 2.1. Built a deep learning model using Sknn.mlp package. I have completed the model. When I try to predict using the predict function, it throws an error. I run the same code on my Mac and it works just fine. Wondering what is wrong with my windows packages.
'NoneType' object is not callable
I verified input data. It is numpy.array and it does not have null value. Its dimension is same as training one and all attributed are the same. Not sure what it can be.
I don't work with Python on Windows, so this answer will be very vague, but maybe it will guide you in the right direction. Sometimes there are cross-platform errors due to one module still not being updated for the OS, frequently when another related module gets an update. I recall something happened to me with a django application which required somebody more familiar with Windows to fix it for me.
Maybe you could try with an environment using older versions of your modules until you find the culprit.
I finally solved the problem on windows. Here is the solution in case you face it.
The Theano package was faulty. I installed the latest version from github and then it threw another error as below:
RuntimeError: To use MKL 2018 with Theano you MUST set "MKL_THREADING_LAYER=GNU" in your environment.
In order to solve this, I created a variable named MKL_Threading_Layer under user environment variable and passed GNU. Reset the kernel and it was working.
Hope it helps!
I'm getting an intermittant segfault in python, which really shouldn't happen. It's a heisenbug, so I haven't figured out exactly what's causing it.
I've done the search and found that there was a known problem with an older version of python, but I'm using 2.7.10 (in a virtualenv, in case that matters)
I'm using pandas (0.18.0) , scipy(0.17.0) and numpy (1.11.0), in case the problem might be in there...
It looks like: How to generate core dumps in Mac OS X?
might be the best way to get stack trace...it appears in ~/Library/Logs/DiagnosticReports I'm not sure if it's USEFUL, and it's not a core per se, to be put into a debugger, but it's something...
I am pretty new to python and am trying to import newspaper for article extraction. Whenever I try to import the module I get ImportError: cannot import name images. Anyone come across this problem and found a solution?
I was able to fix this problem by creating an images directory in /usr/local/lib/python2.7/dist-packages/newspaper , moving images.py to this directory, and placing a blank __init__.py in this directory.
I know this is a dated entry, but to anyone else that faced the same issue as me, I initially fumbled with resolving this issue. When I first run import newspaper, I faced this error. lxml runtime error: Reason: Incompatible library version: etree.so requires version 12.0.0 or later, but libxml2.2.dylib provides version 10.0.0
When I tried to re-run my code (without correcting anything), I got the error found on this article. I have no idea why this was the case, and I wasn't able to resolve my issue using the above method (it didn't work for me, but it could still work for you). If anyone was fumbling like me on Jupyter on getting newspaper to work, do consider the link below. Hope this is helpful.
https://stackoverflow.com/a/31607751/6143792