- UBUNTU PYTHON 2.7 INSTALL MATPLOTLIB ERROR 13 INSTALL
- UBUNTU PYTHON 2.7 INSTALL MATPLOTLIB ERROR 13 FULL
- UBUNTU PYTHON 2.7 INSTALL MATPLOTLIB ERROR 13 MAC
The primary version, you would execute "make install" in your 2.6 buildĭirectory and "make altinstall" in the others. Many of the built-in administration tools are actually written in Python.
UBUNTU PYTHON 2.7 INSTALL MATPLOTLIB ERROR 13 FULL
RHEL was tested with a specific Python release (2.7.5) that will be maintained for the full ten-year supported life of the OS.
UBUNTU PYTHON 2.7 INSTALL MATPLOTLIB ERROR 13 INSTALL
Install all other versions using "make altinstall".įor example, if you want to install Python 2.5, 2.6 and 3.0 with 2.6 being The Python version installed in /usr/bin/python and /usr/bin/python2 is part of the operating system. Version (if any) is your "primary" version. python python-2.7 ubuntu ubuntu-16.04 Lucas Viewed 270.6k times Source I installed Python 2.7.13 on Ubuntu 16.04 according to this guide, and it became the default version as an alternative to the version 2.7.12. To install multiple versions using the same prefix you must decide which All files andĭirectories installed using "make altinstall" contain the major and minor Overwritten by the installation of a different version. Script) you must take care that your primary python executable is not
UBUNTU PYTHON 2.7 INSTALL MATPLOTLIB ERROR 13 MAC
This will leave default python in place and give a python2.7 command in /usr/local/bin/ instead.įrom the Python 2.7 README: "On Unix and Mac systems if you intend to install multiple versions of Python using the same installation prefix (-prefix argument to the configure When you get to the point where you would normally run 'make install', you want to run 'make altinstall'. This involves downloading the source and following the directions found in the README. You would create a new virtualenv with access to all the packages already installed in your old virtualenv, but with access to the system site packages as well.You can build python2.7 (as described in ) instead of using yum to install it. This can be used when you already have a virtualenv that was created without the -system-site-packages flag but that has all your required packages (which took a long time to build in the Nano). Python (x,y) is now available in two versions: Full Edition (all Python packages are installed) and Basic Edition (with essential Python libraries only: PyQt4, NumPy, SciPy, IPython and matplotlib) SWIG 1.3.36 - SWIG is a compiler that integrates C and C++ with several languages including Python. Realpath ref/lib/python3.6/site-packages > myapp/lib/python3.6/site-packages/base_venv.pth -system-site-packages In other words, create a virtualenv myapp using the -system-site-packages flag from an already created virtualenv ref, as follows: virtualenv -p ref/bin/python myapp The second method, which came in very handy in the Nano, was to use virtualenv inheritance. For example: virtualenv -p ref/bin/python myapp -system-site-packages The first one is to use the -system-site-packages flag when creating the virtualenv, so that packages installed system wide are accessible from the virtualenv. I found two methods to get access (not installing) to matplotlib inside a virtualenv. You can change the version of the repo cloned by changing the version number, corresponding to tags on the matplotlib repo. This will add the matplotlib repository into the default path that pip packages are installed for the Jetson Nano, edit the sources.list file, and restore the sources.list file. Just replace the package name with the version of python you want to install on your computer. Sudo mv /etc/apt/sources.list~ /etc/apt/sources.list Since the Deadsnakes PPA has almost every version of Python in its database, you can install older versions of Python as well. Sudo sed -Ei ‘s/^# deb-src /deb-src /’ /etc/apt/sources.listĬd ~/.local/lib/python3.6/site-packages/matplotlib OpenCV-Python can be installed in Ubuntu in two ways: Install from pre-built binaries available in Ubuntu repositories Compile from the source. Below steps are tested for Ubuntu 16.04 and 18.04 (both 64-bit). Sudo cp /etc/apt/sources.list /etc/apt/sources.list~ In this tutorial We will learn to setup OpenCV-Python in Ubuntu System. Here’s a complete script which you can use that installs dependencies properly with no errors for me on a Jetson Nano. Which is solved by editing /etc/apt/sources.list. This command may cause the following error:Įrror :: You must put some ‘source’ URIs in your sources.list Sudo apt-get build-dep python3-matplotlib -y Just installing from source or by pip by itself leads to some missing C header errors, which is solved by: For everyone trying to install a more recent version of matplotlib than provided by the Debian package, try installing from source.
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