I am installing the package for data-cleaning purpose,
!pip install tweet-preprocessor
from preprocessor import TwitterPreprocessor
I am using both Jupyter and Colab, there is no issue using in Jupyter. But still, receiving this issue in colab:
ImportError: cannot import name 'TwitterPreprocessor' from 'preprocessor' (/usr/local/lib/python3.7/dist-packages/preprocessor/init.py)
Please help me with this problem to correct.
Thank you
The library tweet-preprocessor simply doesn't have the TwitterPreprocessor you're trying to import. Take a look at the GitHub repo - no TwitterPreprocessor in sight.
It's suggested to import it via: import preprocessor as p (or import one of the said names from the GitHub repo). You can look at the __init__.py what names you're able to import.
ImportError: cannot import name 'TwitterPreprocessor' from 'preprocessor' ([...]\preprocessor\_init_.py)
Related
I have pip installed edi-835-parser and then trying to import like below
from edi_835_parser import parse
but getting module not found error.
as per edi-835-parser documentation package name is edi-835-parser but while importing it is edi_835_parser
Also tried using below code.
import importlib
module_name = importlib.import_module('edi-835-parser')
This also did not help much.
Could someone help on this
I have a problem with the import of a libraries from a github.
First, I install the github with this:
!pip install git+https://github.com/CompVis/taming-transformers
Then I want to import the cond_transformer module from \taming\models\cond_transformer.py with this:
from taming.models import cond_transformer, vqgan
But he doesn't find taming:
----> 8 import taming
ModuleNotFoundError: No module named 'taming'
I had the same problem. This fixed it for me.
!pip install taming-transformers-rom1504
Credit to: https://www.reddit.com/r/StableDiffusion/comments/x8h3xd/how_to_fix_cannot_import_name_vectorquantizer2/
When I want to import SkipWrapper It occurs an error
from gym.wrappers import SkipWrapper
ImportError: cannot import name 'SkipWrapper' from 'gym.wrappers'
I can't find any solution on the internet. I tried to downgrade gym to 0.9.5 but It also doesn't work.
Try this import
from gym.wrappers.frame_skipping import SkipWrapper
OR
Downgrade/upgrade the gym package. Source Code installed should contain the SkipWrapper class definition.
https://programtalk.com/vs2/?source=python/9609/gym/gym/wrappers/frame_skipping.py
'Monitor' has been removed from 'gym.wrappers' in gym0.23.
Running in the gym0.21, it is successful.
From azure.mgmt.network.operations import NetworkSecurityGroupsOperations
ImportError: No module named operations
Error in importing submodule operations from this package
Version of the package is: azure-Mgmt-network==2.0.0 rc2
You can use code like below to import NetworkSecurityGroupsOperations:
from azure.mgmt.network.v2017_09_01.operations.network_security_groups_operations import NetworkSecurityGroupsOperations
You can get more details with this link and you can change the v2017_09_01 with which version you need.
from datasets import dataset_utils ImportError: No module named datasets.
when i am writing this in python sript.
import tensorflow as tf
from datasets import dataset_utils
slim = tf.contrib.slim
But i am getting error.
from datasets import dataset_utils
ImportError: No module named datasets
I found this solution
How can jupyter access a new tensorflow module installed in the right path?
I did the same and i have dataset packages at path anaconda/lib/python2.7/site-packages/. Still i am getting same error.
pip install datasets
I solved it this way.
You can find the folder address on your device and append it to system path.
import sys
sys.path.append(r"D:\Python35\models\slim\datasets"); import dataset_utils
You'll need to do the same with 'nets' and 'preprocessing'
sys.path.append(r"D:\Python35\models\slim\nets"); import vgg
sys.path.append(r"D:\Python35\models\slim\preprocessing"); import vgg_preprocessing
Datasets is present in https://github.com/tensorflow/models/tree/master/slim/datasets
Since 'models' are not installable from pip (at the time of writing), they are not available in python load paths by default. So either we copy them or manually add to the path.
Here is how I setup env before running the code:
# git clone or wget
wget https://github.com/tensorflow/models/archive/master.zip -O models.zip
unzip models.zip
# add it to Python PATH
export PYTHONPATH=$PYTHONPATH:$PWD/models-master/slim
# now we are good to call `python mytensorflow.py`
It's using the datasets package in the TF-slim image models library, which is in:
git clone https://github.com/tensorflow/models/
Having done that though, in order to import the module as shown in the example on the slim image page, empty init.py have to be added to the models and models/slim directories.
go to https://github.com/nschaetti/EchoTorch/releases and download the latest release
install the latest release from the downloaded file (202006291 is the latest version at the moment):
$pip install ./EchoTorch-202006291.zip
test it out using narma10_esn.py (other examples may have some issues)
you may still need to install some more python packages not listed in the requirements file but it works once you do this.