I'm new for programming so I need help. As you in picture, although I installed chembl_webresource_client (pip3 install chembl_webresource_client), I couldn't work "target" module. Please help me!
By the way, My python version is Python 3.10.2enter image description here
This error shows you that there is no method called target in new_client and only a method called client_from_url inside new_client.py, and you may mean the same thing and want to use it.
And I suggest you share your chembl_webresource_client version.
that is last release of chembl_webresource_client == 0.10.7
Related
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 trying to go through the MXNET tutorial (https://statist-bhfz.github.io/cats_dogs_finetune), but have trouble making the RecordIO ".rec" files used to process the pictures.
I have tried the suggested approach:
python C:/mxnet-20170203/tools/im2rec.py --list=1 --recursive=1 --train-ratio=0.8 cats_dogs train_pad_224x224
python C:/mxnet-20170203/tools/im2rec.py --num-thread=4 --pass-through=1 cats_dogs_train.lst train_pad_224x224
python C:/mxnet-20170203/tools/im2rec.py --num-thread=4 --pass-through=1 cats_dogs_val.lst train_pad_224x224
But i get the error: "AttributeError: 'module' object has no attribute 'MXIndexedRecordIO'"
when doing so.
Is there a way to generate the ".rec" files in R directly? And if not, how do i get pass the error?
Thanks.
Kr,
Daniel
The error you are getting seems related to the fact that you are trying to use a newer version of im2rec.py than the one that came with your installed version of mxnet, hence the missing modules.
try using the im2rec.py script located in your own mxnet installation folder, somewhere like this python2.7/site-packages/mxnet/tools/im2rec.py
Also note that if you upgrade your version of mxnet, the syntax of im2rec has changed to:
im2rec.py --list --recursive --train-ratio=0.8 cats_dogs train_pad_224x224
I am trying to follow the tutorial given in:
https://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_video/py_bg_subtraction/py_bg_subtraction.html
While trying the third example (BackgroundSubtractorGMG) I get this error:
AttributeError: 'module' object has no attribute 'createBackgroundSubtractorGMG'
I got the same error for the earlier examples. But I followed the explanation given in this post. some how, the same trick did not work here.
If there is some one who has managed to solve it, please help me out.
Using Python 2.7.3 & opencv 2.4.6.1 on Ubuntu 12.04
In OpenCV 3.0.0-dev, you have to compile with the contrib repos and then it's in the bgsegm sub-module. I.e. just call cv2.bgsegm.createBackgroundSubtractorGMG()
cv2.bgsegm.createBackgroundSubtractorGMG()
cv2.createBackgroundSubtractorMOG2()
cv2.bgsegm.createBackgroundSubtractorMOG(),
**this worked for me **
oh dear, that's another one of those stories ...
with 2.4.6, you only can use BackgroundSubtractorMOG from python. (full stop)
as of 2.4.8, it seems, the BackgroundSubtractorMOG2 problem got fixed, but the BackgroundSubtractorGMG is still missing.
with both versions, you use a plain constructor to create one.
in 3.0 (master), they changed the syntax, you now have to call 'createBackgroundSubtractorGMG', 'createBackgroundSubtractorMOG2' and such (that's what your tutorial might be refering to). but now you can use all 3 versions at least.
so in any way, if you want to use BackgroundSubtractorMOG2 , you'll have to update to 2.4.8, if you need BackgroundSubtractorGMG, you'll need 3.0 (which is 'bleeding edge' in a way, but the new interface has the far better control over the params needed, imho).
bgsegm was in contrib module of opencv, but after the update I am not sure.
But still,
if you have not built contrib module:
pip install opencv-contrib-python
Make sure no console is running that has imported cv2 while you execute your installing process.
Run the cmd as Administration
It worked for me.
Hi I'm having trouble installing and using the Mercurial ChartExtension
When I installed it as per instructions
First you need to install the extension; type this in your shell:
python ./setup.py install
Blockquote
I then modified my mercurial.ini file as follows
[extensions]
chart=/path/to/chart.py
Blockquote
Then tried running Hg Chart command and got the following error
Can anyone help me get this extension working. I know there's the Hg ActivityExtension as well, but i have not had much luck with that either Problem installing Mercurial Activity extension
A layman's guide to what steps i need to follow would be of immense help
Based on the changelog, the Chart extension has not been updated since late 2008. It would probably work if you tried using it with a version of Mercurial released around that same time (Mercurial v1.1.2 was released on Dec. 30, 2008).
The latest version of Mercurial is now v1.9.2. The API has changed (probably quite a bit) since v1.1.2. If the extension has not been modified to keep up with the changes to the API, then it will fail in ways similar to the error you found. In this case, the number of arguments for the walkchangerevs method has changed.
Updating the extension could be a large task...there is no way to know without inspecting the code. You could try to contact the author (#Ry4an) and ask for help. You could also try to modify the extension yourself.