No module named 'tqdm'
Question:
I am running the following pixel recurrent neural network (RNN) code using Python 3.6
import os
import logging
import numpy as np
from tqdm import trange
import tensorflow as tf
from utils import *
from network import Network
from statistic import Statistic
However, there was an error:
ModuleNotFoundError: No module named 'tqdm'
Does anyone know how to solve it?
Answers:
You need to install tqdm module, you can do it by using python pip.
pip install tqdm
for more info tqdm
For Python 3 as you specified, you use the pip3 command, like so…
pip3 install tqdm
For Python 2, you use pip command, like so…
pip install tqdm
Hope this helps!
In Anaconda this worked for me:
sudo <anaconda path>/bin/python3.6 -m pip install tqdm
(after your working env is activated)
On my linux machine I substituted <anaconda path> with:
anaconda3
Ubuntu machines:
sudo /usr/bin/python3.5 -m pip install tqdm
In Anaconda, steps to install the package.
- Navigate to ‘Environments” and Search for your package.
- That package will be displayed and click on Apply.
Now the package is installed and it can be used right away.
Please share your feedback.
or you can use conda install -c conda-forge tqdm Sometimes help
If you have installed it, type :
from tqdm import tqdm
at the beggining of your code
Albeit I’m using a virtual environment, what solved my problem was executing
sudo apt install python3-tqdm
Weirdly enough my issue was solved by installing tqdm globally in my system.
the simpler approach worked for me
Manual Solution for Dependency Issues:
If you encounter dependency problems within your Python virtual environment, you can address them manually with the following steps:
Open a Command Prompt (cmd):
Launch the Windows Command Prompt.
Navigate to the Scripts Directory:
Use the cd command to navigate to the Scripts directory within your virtual environment. Replace YOURPATH with the actual path to your virtual environment:
cd YOURPATHvenvScripts
Activate the Virtual Environment:
Run the activate.bat script to activate the virtual environment:
activate.bat
Upgrade Packages:
To upgrade specific packages, use python -m pip install –upgrade . Replace with the name of the package you want to upgrade. For example, to upgrade the tqdm package:
python -m pip install –upgrade tqdm
You can apply this command for any package you suspect is corrupted or needs an upgrade.
Please note that these steps involve manual package management within a virtual environment. If you are unfamiliar with these commands, consider seeking assistance from someone with experience to avoid unintended consequences.
Disclaimer:
The effectiveness of these manual steps may vary depending on the specific issue. It’s important to exercise caution, especially if you’re not familiar with the commands involved.
If you prefer a simpler approach, you can also try the following:
Remove Corrupted Extensions:
Delete any corrupted extensions within the “extensions” folder in your virtual environment.
Delete the Virtual Environment:
As a last resort, delete the entire virtual environment folder (e.g., “venv”).
Relaunch:
After making these changes, relaunch your project. This may help resolve dependency issues.
Always remember to back up important data before making any significant changes to your environment.
I am running the following pixel recurrent neural network (RNN) code using Python 3.6
import os
import logging
import numpy as np
from tqdm import trange
import tensorflow as tf
from utils import *
from network import Network
from statistic import Statistic
However, there was an error:
ModuleNotFoundError: No module named 'tqdm'
Does anyone know how to solve it?
You need to install tqdm module, you can do it by using python pip.
pip install tqdm
for more info tqdm
For Python 3 as you specified, you use the pip3 command, like so…
pip3 install tqdm
For Python 2, you use pip command, like so…
pip install tqdm
Hope this helps!
In Anaconda this worked for me:
sudo <anaconda path>/bin/python3.6 -m pip install tqdm
(after your working env is activated)
On my linux machine I substituted <anaconda path> with:
anaconda3
Ubuntu machines:
sudo /usr/bin/python3.5 -m pip install tqdm
In Anaconda, steps to install the package.
- Navigate to ‘Environments” and Search for your package.
- That package will be displayed and click on Apply.
Now the package is installed and it can be used right away.
Please share your feedback.
or you can use conda install -c conda-forge tqdm Sometimes help
If you have installed it, type :
from tqdm import tqdm
at the beggining of your code
Albeit I’m using a virtual environment, what solved my problem was executing
sudo apt install python3-tqdm
Weirdly enough my issue was solved by installing tqdm globally in my system.
the simpler approach worked for me
Manual Solution for Dependency Issues:
If you encounter dependency problems within your Python virtual environment, you can address them manually with the following steps:
Open a Command Prompt (cmd):
Launch the Windows Command Prompt.
Navigate to the Scripts Directory:
Use the cd command to navigate to the Scripts directory within your virtual environment. Replace YOURPATH with the actual path to your virtual environment:
cd YOURPATHvenvScripts
Activate the Virtual Environment:
Run the activate.bat script to activate the virtual environment:
activate.bat
Upgrade Packages:
To upgrade specific packages, use python -m pip install –upgrade . Replace with the name of the package you want to upgrade. For example, to upgrade the tqdm package:
python -m pip install –upgrade tqdm
You can apply this command for any package you suspect is corrupted or needs an upgrade.
Please note that these steps involve manual package management within a virtual environment. If you are unfamiliar with these commands, consider seeking assistance from someone with experience to avoid unintended consequences.
Disclaimer:
The effectiveness of these manual steps may vary depending on the specific issue. It’s important to exercise caution, especially if you’re not familiar with the commands involved.
If you prefer a simpler approach, you can also try the following:
Remove Corrupted Extensions:
Delete any corrupted extensions within the “extensions” folder in your virtual environment.
Delete the Virtual Environment:
As a last resort, delete the entire virtual environment folder (e.g., “venv”).
Relaunch:
After making these changes, relaunch your project. This may help resolve dependency issues.
Always remember to back up important data before making any significant changes to your environment.