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?

Limerick

Have you actually installed this module? If so how did you do it? – Antofagasta

Yes, I have installed using pip install tqdm – Limerick

can you run command and check that its installed or not using pip list or pip show tqdm – Ingress

if you are using Python3 shouldnt it be pip3 ...? – Antofagasta

if module is properly installed then you can refer this link to debug more #14296180 – Ingress

Same case with pip install -e git+github.com/tqdm/tqdm.git@master#egg=tqdm – Limerick

Answer 1

You need to install tqdm module, you can do it by using python pip.

pip install tqdm

for more info tqdm

Ingress

For Anaconda use: conda install -c conda-forge tqdm, also for pip3 use: pip3 install tqdm – Derringdo

I'm having the same issue. I have tried "pip install tdqm" and "pip3 install tdqm". But even though the console confirms that it has been installed, python claims it is not. I also tried running this code block subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'tdqm']) in python, and the console agrees that tdqm has been installed, but when I try to import it, it cannot find tdqm. I have not installed any pip installs before on this PC, though I have done it on another PC that also has Windows 10, where I downloaded python from the same place on both PC. What is the problem? – Mindimindless

Answer 2

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!

Pyrometallurgy

Answer 3

or you can use conda install -c conda-forge tqdm Sometimes help

Argentina

Answer 4

If you have installed it, type :

from tqdm import tqdm

at the beggining of your code

Porous

Answer 5

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

Bemock

Note: If you're using Conda then you should install tqdm (and all modules when possible) with Conda itself, not pip. – Gambeson

Answer 6

In Anaconda, steps to install the package.

1. Navigate to ‘Environments” and Search for your package.
2. 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.

Alfalfa

Answer 7

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.

Shebashebang

Answer 8

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 YOURPATH\venv\Scripts 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.

Rudin