I've been recently working with NLTK library for language processing. I can normally install packages using nltk.download('package'), if I have the internet access etc.
The problem arises, If I try to run my code offline on a cluster. Here,
from nltk.tag import PerceptronTagger
ImportError: cannot import name 'PerceptronTagger'
and similar errors emerge, as nltk can't seem to find the nltk_data folder. I tried:
nltk.data.path.append("./nltk_data"), where I copied nltk_data along with code.
nltk.download('punct') #,download_dir="./nltk_data"), but this doesn't work, as there is no internet access.
Question is then, how can I use nltk_data locally?
Thanks.
It appears the machine I was running this on had NLTK 3.0.2, hence updating NLTK solved the problem all together.
Related
I've included this library as a layer to my lambda function but when I go to test it I get the error: cannot import name 'etree' from 'lxml'
There are multiple posts about people having this issue and some say to that I need to build it to compile some c libraries. Most posts say to look for another file or folder name 'lxml' which I've verified is not the issue.
I'm able to run the same code I've deployed to my layer on my local linux workstation and it runs without an issue.
Turns out my lambda was running python version 3.8 and that version is not compatible with the version of lxml I am using 4.5.1. Changing the run time to 3.7 fixed the issue. Hope this helps someone.
Bert is very powerful model for text classification but implementation of bert requires much more code than any other model. bert-text is pypi package to provide developer a ready-to-use solution.I have installed it properly.When I have tried to import ,it is throwing error ModuleNotFoundError: No module named 'bert_text'.I have properly written the name bert_text.
I have tried it in Kaggle,Colab and local machine but the error is same.
Hey as this is a refactor made by Yan Sun, This issue is already pending, you can go to this link and subscribe for an update when the developers will provide its solution. https://github.com/SunYanCN/bert-text/issues/1
I am pretty new to using the microsoft azure service and trying to follow the tutorial in https://learn.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-python Using Python 3.5.6 in conda 4.5.11 distribution on a Windows PC.
The first problem I am facing while importing azure is I cannot see the version the usual way. That means
azure.__version__
gives an error.
Then, this line of the code gives me an error saying it can neither import names BlockBlobService, nor PublicAccess. Seems like both have been deprecated or I am myself using some old version.
from azure.storage.blob import BlockBlobService, PublicAccess #Option 1
However, the following import is working.
from azure.storage.blob import BlobService #Option 2
But the problem with this is after I create a local file and try to upload with a create_blob_from_path method (as advised in the tutorial), the method is either non-existent or deprecated.
I looked around the web for solution of this BlockBlobService issue, and seemed there has been a persistent confusion around the correct module hierarchy and class names to import. One user, for example, got some official documentation from the library which advised this, which also does not work.
from azure.storage import BlobService #Option 3
Still someone else reported some complaint with this, which is working on my system at least. But this does not import the needed Blob object.
import azure.storage.blob #Option 4
Further, according to this documentation, https://learn.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blockblobservice.blockblobservice?view=azure-python
the BlockBlobService class is located in azure.storage.blob.blockblobservice module. But the interpreter throws an import error when I try to import that as well.
Most of the proposed solutions are around some upgrading/downgrading of versions, but, silly me, somehow I cannot even find the version of the azure module like I do for other modules. Also, it seems many of the solutions are for pip3 running on Linux, whence I am using conda 4.5.11 on Windows. So how to make the azure API work?
As of November 2020, Azure maintains two versions of storage SDK:
v12 (Link)
v2.1 (Link)
2.1 is considered to be the legacy version of the API (Link):
This quickstart uses a legacy version of the Azure Blob storage client library. To get >started with the latest version, see Quickstart: Manage blobs with Python v12 SDK.
BlockBlobService is located in v2.1 and should be avoided. Use v12 version instead.
On windows, you should use pip install azure.
My environment is windows 10 with python 3.6.5, but I didn't use conda.
First, in cmd, run pip install azure, screenshot as below:
Then in pycharm, try use the from xxx import xx, screenshots as below:
For BlockBlobService:
For PublicAccess:
The BlockBlobService location:
I have PyQt5 (version 5.6.0) installed via Anaconda on my Mac (OS X 10.12.2). Now I would like to re-use an older script that used QtWebKitWidgetsand QtWebKit, however, these two packages seem to have been removed in PyQt5.6.0. I already know that QtWebKitWidgets was replaced by QtWebEngineWidgets (which all works fine for me), but in my old code, I was importing QWebSettings from QtWebKit, i.e.
from PyQt5.QtWebKit import QWebSettings
But not I get an ImportError here:
ImportError: cannot import name 'QtWebKit'
According to the PyQt documentation,
QtWebEngineWidgets contains classes for a Chromium based implementation
of a web browser. This supercedes the QtWebKit module and provides better and up-to-date support for HTML, CSS and JavaScript features. However it also consumes more resources and doesn’t give direct access to the network stack and the HTML document via Python APIs.
But where do I find QWebSettings? Can anyone please tell me where I can find QWebSettingsnow, or how I can add the package QtWebKit?
Any help would be very much appreciated.
The correct import statement is:
from PyQt5.QtWebEngineWidgets import QWebEngineSettings
I am trying to use token authentication for a Flask project.
from flask_httpauth import HTTPBasicAuth # works
from flask_httpauth import HTTPTokenAuth # does not work.
I get the following error
ImportError: cannot import name HTTPTokenAuth
I tried
pip install flask_httpauth --upgrade
But it claims everything is up to date. (Flask-HTTPAuth==3.1.1)
The docs suggest this is the proper way to import it, but for some reason it is not working. Any ideas how I can get the token auth to import?
Edit:: I deleted and recreated the virtual environment I was using.
I am using python anywhere.
The problem persists. I discovered an older version of Flask_httpauth is loaded by default (v2.2.0 instead of v3.1.1). I went into the site packages and saw the HTTPTokenAuth is there and should be called.
I tried doing
import flask_httpauth
print (flask_httpauth.__version__)
to check the version being called by my app, but that doesnt work for all python packages, and it seems flask_httpauth doesnt have that functionality.
There are no errors displayed where I have the virtual enviorment linked on the web tab of pythonanywhere.
PythonAnywhere dev here, just reposting the solution that was discovered from #ExperimentsWithCode's forum post. The problem was happening when the code was being run from the editor on PythonAnywhere. This is separate from the configuration that is done on the "Web" tab where the virtualenv was specified: people can run any code they want from the editor, regardless of which web app it's associated with, or even code that's not associated with a web app.
So the solution was what #Miguel suggested: use a shebang.