No module named numpy python как исправить

Python ругается, что не может найти нужный модуль

Ситуация: мы решили заняться бигдатой и обработать большой массив данных на Python. Чтобы было проще, мы используем уже готовые решения и находим нужный нам код в интернете, например такой:

import numpy as np
x = [2, 3, 4, 5, 6]
nums = np.array([2, 3, 4, 5, 6])
type(nums)
zeros = np.zeros((5, 4))
lin = np.linspace(1, 10, 20)

Копируем, вставляем в редактор кода и запускаем, чтобы разобраться, как что работает. Но вместо обработки данных Python выдаёт ошибку:

❌ModuleNotFoundError: No module named numpy

Странно, но этот код точно правильный: мы его взяли из блога разработчика и, по комментариям, у всех всё работает. Откуда тогда ошибка?

Что это значит: Python пытается подключить библиотеку, которую мы указали, но не может её найти у себя.

Когда встречается: когда библиотеки нет или мы неправильно написали её название.

Что делать с ошибкой ModuleNotFoundError: No module named

Самый простой способ исправить эту ошибку — установить библиотеку, которую мы хотим подключить в проект. Для установки Python-библиотек используют штатную команду pip или pip3, которая работает так: pip install <имя_библиотеки>. В нашем случае Python говорит, что он не может подключить библиотеку Numpy, поэтому пишем в командной строке такое:

pip install numpy

Это нужно написать не в командной строке Python, а в командной строке операционной системы. Тогда компьютер скачает эту библиотеку, установит, привяжет к Python и будет ругаться на строчку в коде import numpy.

Ещё бывает такое, что библиотека называется иначе, чем указано в команде pip install. Например, для работы с телеграм-ботами нужна библиотека telebot, а для её установки надо написать pip install pytelegrambotapi. Если попробовать подключить библиотеку с этим же названием, то тоже получим ошибку:

А иногда такая ошибка — это просто невнимательность: пропущенная буква в названии библиотеки или опечатка. Исправляем и работаем дальше.

In this article, we will discuss how to fix the No module named numpy using Python.

Numpy is a module used for array processing. The error “No module named numpy ” will occur when there is no NumPy library in your environment i.e. the NumPy module is either not installed or some part of the installation is incomplete due to some interruption. We will discuss how to overcome this error.

In Python, we will use pip function to install any module

Syntax:

pip install module_name

Example: How to install NumPy

pip install numpy

Output:

Collecting numpy

  Downloading numpy-3.2.0.tar.gz (281.3 MB)

     |████████████████████████████████| 281.3 MB 9.7 kB/s 

Collecting py4j==0.10.9.2

  Downloading py4j-0.10.9.2-py2.py3-none-any.whl (198 kB)

     |████████████████████████████████| 198 kB 52.8 MB/s 

Building wheels for collected packages: numpy

  Building wheel for numpy (setup.py) … done

  Created wheel for numpy: filename=numpy-3.2.0-py2.py3-none-any.whl size=281805912 sha256=c6c9edb963f9a25f31d11d88374ce3be6b3c73ac73ac467ef40b51b5f4eca737

  Stored in directory: /root/.cache/pip/wheels/0b/de/d2/9be5d59d7331c6c2a7c1b6d1a4f463ce107332b1ecd4e80718

Successfully built numpy

Installing collected packages: py4j, numpy

Successfully installed py4j-0.10.9.2 numpy-3.2.0

We can verify by again typing same command then output will be:

Output:

Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (1.1.5)

To get the numpy description like the current version in our environment we can use show command  

Example: To get NumPy description 

pip show numpy

Output:

Name: numpy

Version: 1.19.5

Summary: NumPy is the fundamental package for array computing with Python.

Home-page: https://www.numpy.org

Author: Travis E. Oliphant et al.

Author-email: None

License: BSD

Location: /usr/local/lib/python3.7/dist-packages

Requires: 

Required-by: yellowbrick, xgboost, xarray, wordcloud, torchvision, torchtext, tifffile, thinc, Theano-PyMC, tensorflow, tensorflow-probability, tensorflow-hub, tensorflow-datasets, tensorboard, tables, statsmodels, spacy, sklearn-pandas, seaborn, scs, scipy, scikit-learn, scikit-image, resampy, qdldl, PyWavelets, python-louvain, pystan, pysndfile, pymc3, pyerfa, pyemd, pyarrow, plotnine, patsy, pandas, osqp, opt-einsum, opencv-python, opencv-contrib-python, numexpr, numba, nibabel, netCDF4, moviepy, mlxtend, mizani, missingno, matplotlib, matplotlib-venn, lightgbm, librosa, Keras-Preprocessing, kapre, jpeg4py, jaxlib, jax, imgaug, imbalanced-learn, imageio, hyperopt, holoviews, h5py, gym, gensim, folium, fix-yahoo-finance, fbprophet, fastprogress, fastdtw, fastai, fa2, ecos, daft, cvxpy, cufflinks, cmdstanpy, cftime, Bottleneck, bokeh, blis, autograd, atari-py, astropy, arviz, altair, albumentations

The installation remains same for all other operating systems and software just the platform changes. If our installation is successful any NumPy code will work fine 

Example: Program to create a NumPy array and display

Output:

array([1, 2, 3, 4, 5])

Python has many external modules which are helpful to manage data efficiently. Numpy is one of those modules to handle arrays or any collection of data with ease. With many available methods, you can directly modify and edit the data according to your need. Even many universities, teach numpy as a part of their programming course. But many times, the users face, No Module Named Numpy Error. In this post, we’ll have a look at the causes and solutions for this error.

No Module Named Numpy is one of the persistent errors if you have multiple pythons installed or a virtual environment set up. This error mainly arises due to the unavailability of files in the Python site-packages. This error is easily solved by installing numpy in your working environment. But as installing numpy in the working environment is a tricky job, this error is one of the most irritating ones.

Whenever an external module (numpy) is imported in python, it checks the package in the site packages folder if it’s available. If not, then ImportError No Module Named Numpy is raised. Moreover, if your local files in your directly have numpy.py, it can cause these issues too.

Although fixing this error requires a simple command to be used, it still can harass programmers if they are using a virtual environment. In the following section, we’ll learn about why this error is generated and the causes for it.

Why do I get No Module Named Numpy?

There are known reasons for the cause of this error. The most observed reason is due to the unavailability of Numpy in your working directory. But that’s not it, if your python file is named numpy.py, it can throw this error too. So the question arises –

Am I the only one facing this error?

No, thousands of programmers face this error either due to their IDE’s environment or they just haven’t installed Numpy.

Causes for No Module Named Numpy

As we mentioned earlier, there are some known causes for this No Module Named Numpy error to appear. Some of them are due to your mistake and some of them are not. Following are the most probable cause of this error –

Numpy Not Installed

Can you run games without installing them? No. Similarly, to use the numpy in your python program, you need to install it first. Numpy is not included in your build-in modules for python. As a result, you need to tell the package management system (pip) to install it!

Working on different Virtual Environment

Often, many different IDEs like Jupyter Notebook, Spyder, Anaconda, or PyCharm tend to install their own virtual environment of python to keep things clean and separated from your global python.

As a result, even if you have Numpy installed in your global python, you cannot use it in your virtual environment since it has separate package management. There are different methods to install numpy on each of these IDEs, all of them are mentioned in the next section.

Solutions for No Module Named Numpy

Following are the respective solutions according to your OS or IDEs for No Module Named Numpy error –

Windows

Installing modules can be tricky on Windows sometimes. Especially, when you have path-related issues. First of all, make sure that you have Python Added to your PATH (can be checked by entering python in command prompt). Follow these steps to install numpy in Windows –

1. Firstly, Open Command Prompt from the Start Menu.
2. Enter the command pip install numpy and press Enter.
3. Wait for the installation to finish.
4. Test the installation by using import numpy command in Python Shell.

Ubuntu or Linux or Mac

Generally, in Ubuntu, there are multiple versions of Python installed. This causes great confusion in installing Numpy. Check your version of python by entering the command python --version in your terminal. Follow these steps to install numpy in Linux –

1. Firstly, Open terminal in your Linux machine.
2. Enter the command pip install numpy in the terminal and hit Enter (Use pip3 if you have multiple pythons installed).

Anaconda

Anaconda installs its own conda environment to run python. This environment is separated from your outside installed python and can lead to import No Module Named Numpy errors. Usually, numpy is already installed in anaconda but to install numpy again in Anaconda –

1. Open Anaconda Prompt from Start Menu.
2. Enter the command conda install numpy and Hit Enter.
3. Wait for the setup to complete, and restart the Anaconda application once.

Jupyter

If you have installed Jupyter from the conda environment, it’ll use Anaconda’s virtual environment for the execution of python codes. Following is the way to install numpy in Jupyter Notebook –

1. Open Anaconda Prompt and enter conda install numpy.
2. Restart Jupyter Notebook and Anaconda.

VsCode

In VsCode, the Integrated Terminal uses the %PATH% of python.exe to run the python programs by default. As a result, if don’t have numpy installed in your python, it’ll throw ImportError No Module Named Numpy. Either you need to change the environment to Anaconda’s environment or install numpy on the default environment. The process to install numpy on the default environment is already mentioned in the above (Windows) section.

PyCharm

PyCharm has its own set of mini Anaconda environments. If numpy is missing in this environment, it’ll throw an error No Module Named Numpy. To install numpy in Pycharm –

1. Firstly, Open Settings of Pycharm.
2. Under Python Interpreter, press the Python Packages option.
3. Search for numpy in the list and select install. If it’s already installed, check if it has an update available.
4. Wait for its finishes and restarts your PyCharm once.

No Module Named Numpy Still Not Resolved?

Tried all the above methods and still import numpy not working? Then there might be some python related issues with your computer. But don’t be sad, we’ve got a universal solution for you!

Using Google Colab for your Python Projects will prevent you to install numpy on your system. Colab has its own powerful virtual environment with thousands of modules preinstalled and numpy is one of them. Follow these steps to use Google Colab for numpy –

1. Firstly, log in to your Google Account.
2. Head over to colab.research.google.com and start a new notebook.
3. Test your program by running import numpy code.

Some Other Child Modules Error

Numpy has many other child libraries which can be installed externally. All of these libraries look like a part of numpy, but they need to be installed separately. Following are some of the examples –

No module named numpy.core._multiarray_umath

This error can be resolved by using pip install numpy --upgrade command and upgrading your numpy version. Other libraries like TensorFlow and scikit-learn depend on new APIs inside the module, that’s why your module needs to be updated.

No module named numpy.testing.nosetester

Run the following commands in your terminal to resolve this error –

pip install numpy==1.18
pip install scipy==1.1.0
pip install scikit-learn==0.21.3

No module named numpy.distutils._msvccompiler

Use Python version 3.7 to solve this error. The newer versions 3.8 and 3.9 are currently unsupported in some of the numpy methods.

See Also

Final Words

Errors are part of a programmer’s life and they’ll never leave. Numpy has already blessed us with many powerful methods to easily handle data. But sometimes, we’ll get import errors and possibly other errors too. We’ve mentioned all possible solutions for the No Module Named Numpy in the post.

Happy Pythoning!

In this Python NumPy tutorial, we will learn how to fix the python NumPy not found error. Also, we will cover these topics.

• Python Numpy Not Found
• Ubuntu Python Numpy Not Found
• Anaconda Python Numpy Not Found
• Vscode Python Numpy Not found
• Python Numpy dll Not Found
• Python Numpy Include Path-Not Found
• Python Import Numpy Not Working
• Python Numpy Transpose Not Working

Sometimes, the error looks like below:

In this section, we will learn to fix the error Python NumPy not found or no module named ‘numpy’.

• Python numpy not found or no module named ‘numpy’ error appears when the module is not installed in the current working environment.
• Install the module using pip or conda to fix this issue. but make sure that you have installed it in current working environment.

# installation using pip
pip install numpy

# installation using conda
conda install numpy

• You can install the numpy module even while working on jupyter notebook. Use the below syntax on the jupyter notebook and run it before importing numpy module.

!pip install numpy

# or

!conda install numpy

In the below implementation, when we tried to access the numpy module import numpy it threw an error No module named ‘numpy’. Then we have installed the module using pip now it didn’t thew any error.

Read Check if NumPy Array is Empty in Python

Ubuntu Python Numpy Not Found

In this section, we will learn how to fix the error python numpy not found in the Ubuntu operating system.

• Ubuntu is a linux based operating system that has different filesystem then windows operating system.
• But using pip or conda we can bridge this difference and can use numpy independently on any operating system ( Linux, Windows, macOS).
• Using apt package manager in Ubuntu machine we can install numpy. Here is the command to do so.

sudo apt install python3-numpy

• Please note that this command will install numpy on the system that can be accessed bydefault. but it won’t work if you have created a new envirnoment. Either deactivate the environment or install numpy on that environment to access numpy.
• In the below demonstration, we have installed numpy on the system. Then we have created a virtual environment to check if it is working over there as well. It do not work on the new virtual environment.

Read Python NumPy zeros

Anaconda Python Numpy Not Found

In this section, we will learn how to fix the python NumPy not found error in anaconda.

• Anaconda is a package management and deployement software dedicated specially for data science modules.
• The data science packages offered by anaconda are compatible on Linux, Macintosh (macOS) and windows operating system.
• Basic packages like jupyter notebbok, pandas, numpy, matplotlib, etc are already available when anaconda installed on the system.
• If you don’t want these pre-installed packages then either you can remove them or go for miniconda3 which is lighter version of anaconda and it has no packages pre-installed.
• In our example, we have demonstrated how to fix anaconda python numpy not found error or No module named ‘numpy’. Incase you already have numpy installed and is not working then reinstall it.
• Here is the code to uninstall the numpy module from anaconda package manager.

conda remove numpy

• Here is the code to install numpy module in anaconda package manager.

conda install numpy

Here is the demonstration of uninstallation and installation of numpy on anaconda in python.

Read Python NumPy arange

Vscode Python Numpy Not found

In this section, we will learn how to fix the Python NumPy not found error in vscode.

• Python Numpy not found or no module found ‘numpy’ error in vscode can be fixed by install the numpy module extension in vscode.
• We can also use pip or conda package managers to fix this issue. In case you have installed the module still same error is appearing that means have to activate the dedicated environment.
• Use the below code to install python numpy on vscode. In case you have already installed it but unable to access it then skip to next point.

pip install numpy

• In vscode, most of the time we forget to keep check on the environment we are working on. There are multiple environments present on the vscode like virtual environment (self created), conda base environment, conda other environments (if any), global environment, etc.
• You may have installed the numpy module on the global module but now you are working on vritual environment created by you.
• Apart from this, keep a check of python interpreter installed in your system. Make sure you have selected the same interpreter that you have used while installing numpy.
• There were the major reasons for Vscode Python Numpy Not found.

Read Python Numpy Factorial

Python Numpy dll Not Found

In this section, we will learn how to fix the python numpy dll not found error.

ImportError: DLL load failed while importing path: The specified module could not be found.

or

ImportError: DLL load failed: The specified module could not be found.

• DLL is dynamic link library which is used by more than one program on the windows computer.
• Python numpy dll not found error can be resolved by reinstalling the numpy on the computer/environment.
• In case issue is still not resolved then download Visual C++ Redistributable for Visual Studio 2015.
• Once you have installed it restart your computer and try to run the program again.
• In case issue still persist, please leave the exact error message in the comment section of this blog.

Read Python NumPy Delete

Python Numpy Include Path-Not Found

In this section, we will learn how to fix python numpy include path-not-found error. This section will also cover Python Checking for Numpy – Not Found.

• All the modules installed must go inside the site-packages folder in all the operating systems for the smooth running of that module.
• In case while installing numpy manually you have not placed the module inside the site-package folder in windows machine and dist-packages folder in linux and macOS then python numpy include path not found error may occur.
• Also, you may have multiple versions of python installed in your system and there are chances that wrong interpreter is selected while executing the program. This way also you won’t be able to access the numpy module.
• Below we have shown the ways to see the current path where numpy module is installed.

# using pip
python -m pip show numpy

# using anaconda
conda list numpy

Read Python NumPy Sum

Python Import Numpy Not Working

In this section, we will learn how to fix python import numpy not working error.

• Python import numpy is not working that means eithers the module is not installed or the module is corrupted.
• To fix the corrupted module, uninstall it first then reinstall it.

# pip users follow these steps

pip uninstall numpy
pip install numpy

# conda users follow these steps
conda remove numpy
conda install numpy

• If you are getting an error ” No module found ‘numpy’ then install the module using pip or conda package manager.

pip install numpy

or 

conda install numpy

• In case you are not using package mangers and want to install numpy on bare metal than windows users can download numpy from this website and linux or macOS users can follow the below command.

# Linux Debian (ubuntu)
sudo apt install numpy

# Linux RHEL
yum install numpy

# macOS 
brew install numpy

Read Python NumPy square with examples

Python Numpy Transpose Not Working

In this section, we will learn how to fix the python numpy transpose not working error.

• Transpose refers to changing position of values in the array in python numpy.
• Using numpy.transpose() method in python numpy we can perform transpose an array.
• Python numpy transpose method reverses the shape of an array. Suppose the shape of an array is (5, 2,3) so after applyting transpose function it will become (3, 2, 5).
• Incase the array is of 1D then no effect of transpose method will be displayed.
• In our example, we have displayed both 1D and multiple dimensional array.

Source Code:

In this source code, we have performed python numpy transpose using single and multiple dimensional arrays.

import numpy as np

# one dimensional array
arry = np.arange(10).reshape(10)
arry.transpose()

# multiple dimensional array
arr = np.arange(30).reshape(5, 3, 2)
arr.transpose()

Output:

In this output, we have demonstrated transpose on single-dimensional array. No change is observed as the transpose method reverses the shape of the numpy array. Since this has a single shape so it can’t be reversed.

In this output, a multiple dimensional array got created, and when we have applied the transpose method on this array the shape is reversed from (5, 3, 2) to (2, 3, 5).

Related Python NumPy tutorials:

• Python Absolute Value
• Python NumPy Divide
• Python NumPy Add Tutorial
• Python NumPy Count – Useful Guide
• Python NumPy to list with examples
• Python NumPy read CSV
• Python NumPy log
• Python NumPy where with examples

In this Python tutorial, we have learned how to fix the python numpy not found error. Also, we have covered these topics.

• Python Numpy Not Found
• Ubuntu Python Numpy Not Found
• Anaconda Python Numpy Not Found
• Vscode Python Numpy Not found
• Python Numpy dll Not Found
• Python Numpy Include Path-Not Found
• Python Import Numpy Not Working
• Python Numpy Transpose Not Working