Mac安装Jupyter升级pip后Matplotlib依赖缺失与版本兼容问题咨询

Hey there! Let’s break down exactly what each of those messages means and whether your matplotlib will still work as expected.

1. The Pip Upgrade Message #

Requirement already up-to-date: pip in /Library/Python/2.7/site-packages/pip-10.0.0b2-py2.7.egg (10.0.0b2)

This is just letting you know that your pip installation (version 10.0.0b2, a beta release) is already the latest available for your Python 2.7 environment. No issues here—your pip is ready to go.

2. Matplotlib Dependency Warnings #

Let’s unpack each of the three warnings about matplotlib 1.3.1:

• matplotlib 1.3.1 requires nose,未安装: Nose is a testing framework that matplotlib uses to run its internal test suite. If you only use matplotlib for plotting (not running its official tests), this missing dependency won’t affect your day-to-day use. You can ignore this unless you plan to debug or contribute to matplotlib itself.
• matplotlib 1.3.1 requires tornado,未安装: Tornado is a web framework that powers matplotlib’s interactive backends (like the %matplotlib notebook mode in Jupyter, which lets you zoom/pan plots interactively). If you only create static plots (e.g., saving to PNG/PDF or using the default %matplotlib inline in Jupyter), you won’t notice this missing dependency. But if you want interactive plotting features, you’ll need to install tornado.
• matplotlib 1.3.1要求numpy>=1.5，但当前numpy版本为1.8.0rc1，存在兼容性问题: This one’s a bit misleading. Your numpy version (1.8.0rc1) is actually newer than the minimum required (>=1.5). The "compatibility issue" note might be a false flag from the beta version of pip you’re using, or because 1.8.0rc1 is a release candidate (not a stable final version). In most cases, numpy 1.8.x should work fine with matplotlib 1.3.1. If you run into odd errors later, you could upgrade numpy to a stable release like 1.8.0 or newer.

Will Matplotlib Still Work? #

For most common use cases (static plotting, basic visualization), yes, matplotlib should still function normally. The missing dependencies only affect niche features (testing, interactive backends), and your numpy version meets the minimum requirement.

Quick Fixes If You Want to Resolve the Warnings #

If you want to eliminate these messages and ensure full functionality, run this command in your terminal:

pip install nose tornado numpy --upgrade

A quick side note: Python 2.7 is no longer officially supported, and many modern libraries (including newer versions of matplotlib and Jupyter) won’t work with it. If you plan to work with data science tools long-term, consider upgrading to Python 3.8+ for better compatibility and security.

内容的提问来源于stack exchange，提问作者maggie_b