{
  "source_file": "0930",
  "source_platform": "Medium",
  "author": "Dario Radečić",
  "title_listed": "Pip Install Specific Version - How to Install a Specific Python Package Version with Pip",
  "keywords": "pip,Python,环境管理",
  "domain": "数据处理",
  "content_type": "深度技术解析",
  "is_paid_flag": "部分免费/会员墙",
  "url": "https://towardsdatascience.com/pip-install-specific-version-how-to-install-a-specific-python-package-version-with-pip-1f97e1002f31/",
  "publish_date": "2023-04",
  "corpus_stage": "预训练/SFT",
  "notes": "",
  "id": "829c9c3d590c",
  "collected_at": "2026-10-01T21:25:57",
  "title": "Pip Install Specific Version - How to Install a Specific Python Package Version with Pip | Towards Data Science",
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It also helps in adverstising on the website.\n\n\n  * Cookie\nedgebucket\n  * Duration\nsession\n  * Description\nReddit sets this cookie to save the information about a log-on Reddit user, for the purpose of advertisement recommendations and updating the content.\n\n\n  * Cookie\ndid\n  * Duration\n1 year\n  * Description\nArbor sets this cookie to show targeted ads to site visitors.This cookie expires after 2 months or 1 year.\n\n\nUncategorised\nOther uncategorised cookies are those that are being analysed and have not been classified into a category as yet.\nNo cookies to display.\nReject All Save My Preferences Accept All\nToggle Search[](https://towardsdatascience.com/)Toggle Mobile Navigation\n[](https://towardsdatascience.com/)\nPublish AI, ML & data-science insights to a global community of data professionals.\nSign in[Submit an Article](https://write.insightmediagroup.io)\n[Latest](https://towardsdatascience.com/latest/)[Editor's Picks](https://towardsdatascience.com/tag/editors-pick/)[Newsletter](https://towardsdatascience.com/tag/the-variable/)[ShipAI](https://towardsdatascience.com/shipai/)\n* * *\n[Write For TDS](https://towardsdatascience.com/submissions/)\n[LinkedIn](https://www.linkedin.com/company/towards-data-science/)[X](https://x.com/TDataScience)Toggle Search\n[Data Science](https://towardsdatascience.com/category/data-science/)\n# Pip Install Specific Version - How to Install a Specific Python Package Version with Pip\nWant to install a specific Python package version with Pip? This article will show you how with hands-on examples and guides.\n[Dario Radečić](https://towardsdatascience.com/author/radecicdario/)\nApril 5, 20236 min read\n![Photo by Mario Gogh on Unsplash](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/0t9DnyErTc6kn5Glu-scaled.jpg)\nPhoto by [Mario Gogh](https://unsplash.com/@mariogogh?utm_source=medium&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium&utm_medium=referral)\n**TL;DR:** You can install a specific version of a Python package using Pip by running the `pip install <package_name>==<version>` command. For example, to install version 1.3.4 of [Pandas](https://practicalpandas.com/how-to-install-pandas-specific-version/), execute the `pip install pandas==1.3.4` command from the Terminal.\nThat's a short version and probably all you'll ever need, but sometimes you'll want to take more control over package installation. That's where the rest of the article comes in.\n* * *\nLearn this step by step with the interactive [AI and Data Scientist](https://roadmap.sh/ai-data-scientist) and [Computer Science](https://roadmap.sh/computer-science) roadmaps.\n## Why Would You Want to Install a Specific (Older) Version of a Python Package\nSo, why even bother with older versions of Python packages? Well, maybe you have a huge codebase that's not compatible with the most recent package update. Maybe you've written the code years ago and it still works in production, but updating the package might break it. Or maybe even the most recent package version isn't compatible with your Python version.\n**In other words** - whatever the case may be, there are valid reasons for installing older versions of a Python package.\nLet's now go over some practical examples of how to install a specific package version with Pip.\n## How to Check Which Version of a Python Package is Installed\nThere are two useful commands you must know before proceeding to install a specific Python package version. These are:\n  * `pip show <packagename>` - Show the currently installed version of the package, its summary, author, license, dependencies, and so on.\n  * `pip index versions <packagename>` - Lists all the available package versions you can install.\n\n\nLet's check them out for the `pandas` Python package. The following shell command prints the currently installed version:\nbash\n\n```\npip show pandas\n```\n\n![Image 1 - Current version of the Pandas package \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/17yDnBAQhp28UtldnzsbAiw.png)\n_Image 1 - Current version of the Pandas package (image by author)_\nIt seems like Pandas version 1.5.3 is installed, and it requires `numpy`, `python-dateutil`, and `pytz` packages to run.\n**But is version 1.5.3 the latest, and which other versions can we install?** That's what the next shell command answers:\nbash\n\n```\npip index versions pandas\n```\n\n![Image 2 - Available Pandas package versions \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1RAwJUgOyNrHcHmcEa9kTRA.png)\n_Image 2 - Available Pandas package versions (image by author)_\nVersion 2.0.0 is the most recent, but you can go far, far back, depending on the Python version you have installed on your system or inside a virtual environment.\nYou now know how to check for the currently installed package version and also how to list all the available versions, so next, let's see how to pip install a specific version of a package.\n## How to Install Pip Specific Version of a Python Package\nThere are 2 must-know ways to install a specific version of a Python package. The first one requires two commands - the first one for uninstalling the current version, and the second for installing the version you want. The second approach packs all that functionality in one shell command, so that's the one you should use in practice.\n### Method 1 - Uninstall and Install\nYou now know which version of Pandas you have installed, and which versions you can potentially install, depending on your Python version.\nIn our case, we have version 1.5.3, but we want to go back to version 1.3.4. To do so, we first have to uninstall the current version:\nbash\n\n```\npip uninstall pandas\n```\n\n![Image 3 - Uninstalling a Python package with pip \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1BVB-CITrxUI9b7CR4Af2yg.png)\n_Image 3 - Uninstalling a Python package with pip (image by author)_\nAnd now, pip install specific version of Pandas by running the following command:\nbash\n\n```\npip install pandas==1.3.4\n```\n\n![Image 4 - Installing a specific version of a Python package with Pip \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1__EGtu3xciXD_iuSdqxrGw.png)\n_Image 4 - Installing a specific version of a Python package with Pip (image by author)_\nIt seems like everything went fine, but how can you make sure version 1.3.4 was installed? **Spoiler alert: You already know the command** :\nbash\n\n```\npip show pandas\n```\n\n![Image 5 - Currently installed Pandas version \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1gtx22cQC_g00bN1x8WcUDg.png)\n_Image 5 - Currently installed Pandas version (image by author)_\nPandas 1.3.4 is successfully installed on our system, so we can mark our job here as done.\n### Method 2 - Overwrite the Installed Package\nThe superior approach to the one from the previous section is to install a specific version of a Python package with a single shell command. You can do so by appending the `--ignore-installed` flag when installing a specific version of the package.\nHere's an example - it installs Pandas version 2.0.0 and overwrites version 1.3.4 which was installed moments ago:\nbash\n\n```\npip install pandas==2.0.0 --ignore-installed\n```\n\n![Image 6 - Overwriting the current package version \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/13MDI0WGR8jwpCLTzibfPsg.png)\n_Image 6 - Overwriting the current package version (image by author)_\nAnd just to verify, you can use the `pip show` command:\nbash\n\n```\npip show pandas\n```\n\n![Image 7 - Currently installed Pandas version \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1p_jzL_P4bpa1R6QK-yRRLw.png)\n_Image 7 - Currently installed Pandas version (image by author)_\nAnd that's two ways to pip install specific version of a Pandas package. **Will it always be that easy?** Probably not, so continue reading for a more production-ready use case.\n## How to Install Multiple Python Packages with Specific Versions\nInstalling Python packages one by one is fine in your local environment, but it doesn't scale in production. That's where you'll typically have a `requirements.txt` file which contains all Python dependencies for the project alongside their specific version.\n> _Wait, what is a requirements.txt file?_[_Read this article if you want to manage Python dependencies like a sane person_](https://betterdatascience.com/python-pipreqs/) _._\nThe `requirements.txt` is typically structured like this:\nplaintext\n\n```\npackage_1==version_1\npackage_2==version_2\n...\n```\n\nIn short, there's a list of Python dependencies with their respective versions. The question now is, **Can you install all of them with a single command?** And the answer is - yes, you can.\nHere's what the file looks like on our end:\n![Image 8 - Contents of the requirements.txt file \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1_xtIgyVsFpnEh5MDhHSeXg.png)\n_Image 8 - Contents of the requirements.txt file (image by author)_\nAnd this is the command you should run if the `requirements.txt` file is in the same directory as your shell:\nbash\n\n```\npip install -r requirements.txt\n```\n\n![Image 9 - Installing multiple Python dependencies with a single command \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1qinZVy3cmvFNPN4DL08h0g.png)\n_Image 9 - Installing multiple Python dependencies with a single command (image by author)_\nIn case your `requirements.txt` file is located elsewhere, simply provide an absolute or relative path after `-r`. That's it!\nNow, let's verify the correct package versions were installed:\n![Image 10 - Checking Python package versions \\(image by author\\)](https://assets.insightmediagroup.io/media/wp-content/uploads/2023/04/1uoDbj1w_GgJEcKFAl2850g.png)\n_Image 10 - Checking Python package versions (image by author)_\nAnd that's how you can install multiple Python packages at once. Let's make a short recap next.\n* * *\n## Summing up Pip Install Specific Version\nProject dependency management doesn't have to be difficult. You can use Python's [pipreqs](https://betterdatascience.com/python-pipreqs/) module to keep track of the packages used within a project and to create a `requirements.txt` file, and then apply everything learned in this article to transfer the same set of dependencies to another machine, or a production environment.\nYou can also pip install specific version of a Python package one by one, which is fine for a local development environment, and this article showed you a couple of ways to do so. By far better approach is to have a dedicated file for the dependencies, and install them all at once.\n_How do you keep track of project dependencies? Do you install a specific version of a Python package, or do you stick with the latest releases?_ Make sure to let me know in the comment section below.\n* * *\n_Loved the article? Become a_[ _Medium member_](https://towardsdatascience.com/@radecicdario/membership) _to continue learning without limits. I'll receive a portion of your membership fee if you use the following link, with no extra cost to you._\n> [**Join Medium with my referral link - Dario Radečić**](https://medium.com/@radecicdario/membership)\n* * *\n_Originally published at_[ _https://betterdatascience.com_](https://betterdatascience.com/pip-install-specific-version/) _on April 5, 2023._\n## Register Now to Continue Reading\n### Unlock Towards Data Science with a Free Account\nAll articles on Towards Data Science are available to registered users. 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