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INSTALL
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Installation
============
Conda pre-built binaries
------------------------
The easiest way to install Cartopy is by using
`Conda <https://conda.io/miniconda.html>`_. If conda is already installed,
installation is as easy as::
conda install -c conda-forge cartopy
Other pre-built binaries
------------------------
Additional pre-built binaries can be found at a variety of sources, including:
* Christoph Gohlke (https://www.lfd.uci.edu/~gohlke/pythonlibs/)
maintains unofficial Windows binaries of cartopy.
* `OSGeo Live <https://live.osgeo.org>`_.
Building from source
--------------------
Before building Cartopy from source, you need to **first** install the
required dependencies listed below. Once these are installed, Cartopy can be
installed using the pip installer::
pip install cartopy
To instead install the most recent version found on the GitHub master branch,
use::
pip install git+https://github.com/SciTools/cartopy.git
Alternatively, you can clone the git repo on your computer and install manually
using the `setup.py` file::
git clone https://github.com/SciTools/cartopy.git
cd cartopy
# Uncomment the following to specify non-standard include and library paths
# python setup.py build_ext -I/path/to/include -L/path/to/lib
python setup.py install
Required dependencies
~~~~~~~~~~~~~~~~~~~~~
In order to install Cartopy, or to access its basic functionality, it will be
necessary to first install **GEOS**, **Shapely**, and
**pyshp**. Many of these packages can be installed using pip or
other package managers such as apt-get (Linux) and brew (macOS). Many of these
dependencies are built as part of Cartopy's conda distribution, and the recipes
for these packages can be found at https://github.com/conda-forge/feedstocks.
We include a conda environment file that contains a list of all the
dependencies required to build and install cartopy, which can be used to
install pre-built binaries of all the dependencies on your local system.
To use it::
git clone https://github.com/SciTools/cartopy.git
cd cartopy
conda env create -f environment.yml
conda activate cartopy-dev
pip install -e .
You can also use your system's package manager to install the dependencies.
For macOS, the required dependencies can be installed in the following way::
brew install proj geos
pip3 install --upgrade pyshp
# shapely needs to be built from source to link to geos. If it is already
# installed, uninstall it by: pip3 uninstall shapely
pip3 install shapely --no-binary shapely
Still on macOS, make sure you have installed pkg-config and set the
`PKG_CONFIG_PATH` environment variable as follows::
brew install pkg-config
export PKG_CONFIG_PATH=/usr/local/bin/pkgconfig
Then you can install cartopy using::
pip3 install cartopy
If you are installing dependencies with a package manager on Linux, you may
need to install the development packages (look for a "-dev" or "-devel" suffix) in addition
to the core packages.
Further information about the required dependencies can be found here:
**Python** 3.7 or later (https://www.python.org/)
Python 2 support was removed in v0.19.
**Matplotlib** 3.1 or later (https://matplotlib.org/)
Python package for 2D plotting. Python package required for any
graphical capabilities.
**GEOS** 3.7.2 or later (https://trac.osgeo.org/geos/)
GEOS is an API of spatial predicates and functions for processing geometry
written in C++.
**Shapely** 1.6.4 or later (https://github.com/Toblerity/Shapely)
Python package for the manipulation and analysis of planar geometric
objects.
**pyshp** 2.1 or later (https://pypi.python.org/pypi/pyshp)
Pure Python read/write support for ESRI Shapefile format.
**PROJ** 8.0.0 or later (https://proj.org/)
Coordinate transformation library.
**pyproj** 3.0.0 or later (https://github.com/pyproj4/pyproj/)
Python interface to PROJ (cartographic projections and coordinate transformations library).
Optional Dependencies
~~~~~~~~~~~~~~~~~~~~~
To make the most of Cartopy by enabling additional functionality, you may want
to install these optional dependencies.
**GDAL** version 2.3.2 (https://gdal.org/)
GDAL is a translator library for raster and vector geospatial data formats,
which has powerful data transformation and processing capabilities.
**Pillow** 6.1.0 or later (https://python-pillow.org)
A popular fork of PythonImagingLibrary.
**pykdtree** 1.2.2 or later (https://github.com/storpipfugl/pykdtree)
A fast kd-tree implementation that is used for faster warping
of images than SciPy.
**SciPy** 1.3.1 or later (https://www.scipy.org/)
A Python package for scientific computing.
**OWSLib** 0.18 (https://pypi.python.org/pypi/OWSLib)
A Python package for client programming with the Open Geospatial
Consortium (OGC) web service, and which gives access to Cartopy ogc
clients.
**Fiona** 1.0 or later (https://github.com/Toblerity/Fiona)
A Python package for reading shapefiles that is faster than pyshp.
Testing Dependencies
~~~~~~~~~~~~~~~~~~~~
These packages are required for the full Cartopy test suite to run.
**pytest** 5.1.2 or later (https://docs.pytest.org/en/latest/)
Python package for software testing.
**pytest-mpl** 0.11 or later (https://github.com/matplotlib/pytest-mpl)
Pytest plugin to faciliate image comparison for Matplotlib figures
**pep8** 1.3.3 or later (https://pypi.python.org/pypi/pep8)
Python package for software testing.