Python как переустановить numpy

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In this post, we will learn how to install a specific version of NumPy using Pip. To install a specific version of NumPy using PIP, use double equal (==) sign. For example, » pip install numpy==1.23.5 «.

If you have already installed NumPy, the best option to install a specific version is to first uninstall and then install it.

If you have already installed a specific version of NumPy and want to install another version, use «—force-reinstall» e.g., » pip install —force-reinstall numpy==1.23.5 «.

If you have a virtual env and want to override the installation without uninstalling, use «—ignore-installed», e.g., » pip install —ignore-installed numpy==1.23.5 «.

Let’s understand it in detail.

NumPy is Not Already Installed

If you are installing numpy for first time or have uninstalled the previous version, use the following syntax to install a specific version of NumPy.

Syntax

To install NumPy version 1.23.5, use the following-

To install version 1.21.5, use the following command:

NumPy is Already Installed

If you have already installed NumPy and want to install a specific version of it, you can do any of the following options. Note: Please note that each option has some pros and cons.

Option 1: Uninstall existing version and then install specific version

This option is best when you have already installed NumPy. So first uninstall it and then install the specific version.

pip uninstall numpy
pip install numpy==1.23.5

The above command will uninstall the existing version and install NumPy version 1.23.5.

Option 2: Using —force-reinstall

Another way to install a specific version of NumPy (if you have already installed any version) is using —force-reinstall. The —force-reinstall option first uninstall (if already installed) and then install the specific or current version.

pip install --force-reinstall numpy==1.23.5

The above command will install numpy version 1.23.5.

Option 3: Using —ignore-installed

The —ignore-installed option ignores the already installed package and its dependencies, overwrites installed files.

It’s a good option when you are using virtual env. Use the following command:

pip install --ignore-installed numpy==1.23.5

When you are using pip3

If you are using pip3, to install a specific version of Numpy, you can use all the above commands replacing pip by pip3. Look at the following:

# installing numpy version 1.23.5 
pip3 install numpy==1.23.5

# uninstalling the existing version and installing version 1.23.5 of Numpy 
pip3 uninstall numpy
pip3 install numpy==1.23.5

# Using --force-reinstall 
pip3 install --force-reinstall numpy==1.23.5

# Using --ignore-installed option
pip3 install --ignore-installed numpy==1.23.5

We have covered both the cases to install a specific version of Numpy- first when numpy is not installed and the second when numpy is already installed. In the second case, we have seen three different ways to install a specific version. Hope this article provides accurate information. If you find any error or wrong information please post a comment.

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Обновите Python NumPy

В этой статье будут представлены методы обновления пакета NumPy в Python.

Обновите Python NumPy

Мы можем обновить пакет NumPy до последней версии, используя менеджеры пакетов pip и pip3 для Python 2 и Python 3 соответственно. Команда для обновления пакета NumPy приведена ниже.

Обновить NumPy в Python 2

pip install numpy --upgrade 

Обновить NumPy в Python 3

pip3 install numpy --upgrade 

Нам просто нужно использовать одну из вышеперечисленных команд в зависимости от нашей версии Python. Если эта команда не работает по какой-либо причине или, возможно, пакет NumPy уже установлен на нашем компьютере, но по другому пути, мы можем использовать следующие команды.

для Python 2

pip install numpy --upgrade --ignore-installed 

для Python 3

pip3 install numpy --upgrade --ignore-installed 

Приведенные выше команды принудительно установят последнюю версию пакета NumPy, даже если на нашем компьютере уже установлена более новая версия.

Maisam is a highly skilled and motivated Data Scientist. He has over 4 years of experience with Python programming language. He loves solving complex problems and sharing his results on the internet.

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How to Update Numpy : Upgrade it in 2 Steps Only

As you already know that the Numpy is the best python module for creating NumPy array and manipulating it. There are so many inbuilt functions in it that allow you to perform operations in an efficient way. But sometimes the other module or package works on the latest version of the NumPy. You can also face a No module named numpy error if the numpy is not properly installed in your system. The solution is to upgrade the numpy for your system. In this entire tutorial, you will know how to update or upgrade NumPy with steps.

Steps to upgrade the Numpy

Step 1: Check the version of Python

Before going to the updating part you should know the version of the python installed in your system. To check the version of python open your terminal or command prompt and type the below command.

If the version of the python in your system is 3. xx then you will use the pip3 command. And if the version of the python is 2. xx then you will use the pip command.

In the next step, you will learn how to update numpy.

Step 2: Update or Upgrade the Numpy

Upgrading Numpy on Windows

If your system is windows then you can upgrade numpy easily. Open your command prompt and type the below command to update the NumPy.

For python 3. xx

For python 2. xx

It will upgrade the numpy to the latest version and also ignore the installation if the current version of the numpy is the latest.

Upgrading Numpy on Linux

Now suppose you work on the Linux system then there is a different method to update the NumPy. You have to use the below command for that.

The above command will search for the latest versions of the NumPy and it will update it. Also, it removes the previously installed version.

If you want to use the pip command then you can update the NumPy on Linux. Just open your terminal and type the below command.

For python 3. xx

For python 2. xx

Conclusion

Numpy is the best module for performing computational works on the dataset. If you are encountering errors when you are using the third-party module then you have to update the NumPy module to the latest version or downgrade the numpy to the required version.

I hope you have liked this tutorial on how to upgrade numpy. If you have any doubt then you can contact us for more help.

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