No module named numpy python windows

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 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 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.

A common error you may encounter when using Python is modulenotfounderror: no module named ‘numpy’. This error occurs when Python cannot detect the NumPy library in your current environment. This tutorial goes through the exact steps to troubleshoot this error for the Windows, Mac and Linux operating systems.

ModuleNotFoundError: no module named ‘numpy’

What is ModuleNotFoundError?

The ModuleNotFoundError occurs when the module you want to use is not present in your Python environment. There are several causes of the modulenotfounderror:

The module’s name is incorrect, in which case you have to check the name of the module you tried to import. Let’s try to import the re module with a double e to see what happens:

import ree

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
1 import ree

ModuleNotFoundError: No module named 'ree'

To solve this error, ensure the module name is correct. Let’s look at the revised code:

import re

print(re.__version__)

2.2.1

You may want to import a local module file, but the module is not in the same directory. Let’s look at an example package with a script and a local module to import. Let’s look at the following steps to perform from your terminal:

mkdir example_package

cd example_package

mkdir folder_1

cd folder_1

vi module.py

Note that we are using Vim to create the module.py file in this example. You can use your preferred file editor, such as Emacs or Atom. In module.py, we will import the re module and define a simple function that prints the re version:

import re

def print_re_version():

    print(re.__version__)

Close the module.py, then complete the following commands from your terminal:

cd ../

vi script.py

Inside script.py, we will try to import the module we created.

import module

if __name__ == '__main__':

    mod.print_re_version()

Let’s run python script.py from the terminal to see what happens:

Traceback (most recent call last):
  File "script.py", line 1, in <module>
    import module
ModuleNotFoundError: No module named 'module'

To solve this error, we need to point to the correct path to module.py, which is inside folder_1. Let’s look at the revised code:

import folder_1.module as mod

if __name__ == '__main__':

    mod.print_re_version()

When we run python script.py, we will get the following result:

2.2.1

Lastly, you can encounter the modulenotfounderror when you import a module that is not installed in your Python environment.

What is Numpy?

NumPy is the fundamental Python library for scientific computing. The library provides a multidimensional array object, the ndarray and routines and operations for manipulating multidimensional arrays. NumPy does not come installed automatically with Python. The easiest way to install NumPy is to use the package manager for Python called pip. The following installation instructions are for the major Python version 3.

How to Install Numpy on Windows Operating System

To install NumPy using pip on Windows, you need to download and install Python on your PC. Ensure you select the install launcher for all users and Add Python to PATH checkboxes. The latter ensures the interpreter is in the execution path. Pip is automatically installed on Windows for Python versions 2.7.9+ and 3.4+.

You can install pip on Windows by downloading the installation package, opening the command line and launching the installer. You can install pip via the CMD prompt by running the following command.

python get-pip.py

You may need to run the command prompt as administrator. Check whether the installation has been successful by typing.

pip --version

To install numpy with pip, run the following command from the command prompt.

pip3 install numpy

How to Install Numpy on Mac Operating System

Open a terminal by pressing command (⌘) + Space Bar to open the Spotlight search. Type in terminal and press enter.

To get pip, first ensure you have installed Python3:

python3 --version

Python 3.8.8

Download pip by running the following curl command:

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

The curl command allows you to specify a direct download link, and using the -o option sets the name of the downloaded file.

Install pip by running:

python3 get-pip.py

From the terminal, use the pip3 command to install numpy:

pip3 install numpy

How to Install Numpy on Linux Operating Systems

All major Linux distributions have Python installed by default. However, you will need to install pip. You can install pip from the terminal, but the installation instructions depend on the Linux distribution you are using. You will need root privileges to install pip and numpy. Open a terminal and use the commands relevant to your Linux distribution to install pip.

Installing pip for Ubuntu, Debian, and Linux Mint

sudo apt install python-pip3

Installing pip for CentOS 8 (and newer), Fedora, and Red Hat

sudo dnf install python-pip3

Installing pip for CentOS 6 and 7, and older versions of Red Hat

sudo yum install epel-release

sudo yum install python-pip3

Installing pip for Arch Linux and Manjaro

sudo pacman -S python-pip

Installing pip for OpenSUSE

sudo zypper python3-pip

Once you have installed pip, you can install numpy using:

pip3 install numpy

Check NumPy Version

Once you have successfully installed NumPy, you can use two methods to check the version of NumPy. First, you can use pip from your terminal:

pip show numpy

Name: numpy
Version: 1.18.5
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: /Users/Yusufu.Shehu/opt/anaconda3/lib/python3.8/site-packages
Requires: 
Required-by: tifffile, tensorflow, tensorboard, tables, statsmodels, seaborn, scipy, scikit-learn, scikit-image, PyWavelets, pyerfa, patsy, pandas, opt-einsum, numexpr, numba, mlxtend, mkl-random, mkl-fft, matplotlib, Keras, Keras-Preprocessing, Keras-Applications, imbalanced-learn, imageio, h5py, gym, gensim, Bottleneck, bokeh, bkcharts, astropy

Second, within your python program, you can import numpy and then reference the __version__ attribute:

import numpy as np

print(np.__version__)

1.18.5

Installing Numpy Using Anaconda

Anaconda is a distribution of Python and R for scientific computing and data science. Anaconda comes with numpy and other relevant Python libraries for data science and machine learning. You can install Anaconda by going to the installation instructions.

You can install numpy in your conda environment using the following command from your terminal or command prompt:

conda install -c anaconda numpy

Summary

Congratulations on reading to the end of this tutorial. The modulenotfounderror occurs if you misspell the module name, incorrectly point to the module path or do not have the module installed in your Python environment. If you do not have the module installed in your Python environment, you can use pip to install the package. However, you must ensure you have pip installed on your system. You can also install Anaconda on your system, which comes with numpy.

For further reading on installing data science and machine learning libraries, you can go to the articles:

• OpenCV: How to Solve Python ModuleNotFoundError: no module named ‘cv2’
• Requests: How to Solve Python ModuleNotFoundError: no module named ‘requests’
• Pandas: How to Solve Python ModuleNotFoundError: no module named ‘pandas’
• Matplotlib: How to Solve Python ModuleNotFoundError: no module named ‘matplotlib’
• Flask: How to Solve Python ModuleNotFoundError: no module named ‘flask’

For further reading on using numpy arrays go to the article: How-to Guide for Python NumPy Where Function.

Go to the online courses page on Python to learn more about Python for data science and machine learning.

Have fun and happy researching!