#Conda install xquartz code#
the site-packages directory), thus, one could “edit” the source code and have changes take effect immediately without having to rebuild and reinstall.
The development mode allows one to install the package without copying files to your interpreter directory (e.g. Or install MintPy with pip in development mode as below.
#Conda install xquartz update#
If you update your macOS version, you should re-install R (and perhaps XQuartz): the installer may tailor the installation to the current version of the OS. Installation is via the installer R Just double-click on the icon and follow the instructions.
#Conda install xquartz download#
Install MintPy into the current environment with pip by running: python -m pip install MintPy XQuartz Guide Download and Install XQuartz. Or install the dependencies to a new environment named “mintpy” by running: conda env create -f ~/tools/MintPy/docs/environment.yml # Add "isce2" below to install extra dependencies if you use ISCE-2Ĭonda install -c conda-forge -file ~/tools/MintPy/docs/requirements.txt # Add "gdal'>=3'" below to install extra dependencies if you use ARIA, FRInGE, HyP3 or GMTSAR # To speedup conda install, try "conda install mamba", then use "mamba install" to replace "conda install" named "insar", run "conda create -name insar conda activate insar" Install the dependencies into an custom existing environment by running: # To create a new custom environment, e.g. # for macOS, use Miniconda3-latest-MacOSX-x86_64.sh instead.īash Miniconda3-latest-Linux-x86_64.sh -b -p ~/tools/miniconda3 # use wget or curl to download in command line or click from the web browser You may need to close and restart the shell for changes to take effect. Install miniconda if you have not already done so. Run the following in your terminal to download the development version of MintPy: cd ~/tools We recommend using conda or macports to install the python environment and the prerequisite packages, because of the convenient management and default performance setting with numpy/scipy and pyresample.Ģ.1 Install on Linux # a. MintPy is written in Python 3 and relies on several Python modules, check the requirements.txt file for details.
Note: The installation note below is tested on Linux and macOS, and is still experimental on Windows (may has bugs). Then complete the post-installation setup. After installing docker, run the following to pull the MintPy container from DockerHub to your local machine, check more details at here. The latest released version can be installed via conda as: conda install -c conda-forge mintpyĭocker allows one to run MintPy in a dedicated container (essentially an efficient virtual machine) and to be independent of platform OS. MintPy is available on the conda-forge channel.
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