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from __future__ import (absolute_import, division, print_function)
import glob
import io
import os
import sys
from setuptools.dist import Distribution
if sys.version_info < (2, 6):
raise SystemExit("""matplotlib and the basemap toolkit require Python 2.6 or later.""")
# Do not require numpy for just querying the package
# Taken from the netcdf-python setup file (which took it from h5py setup file).
inc_dirs = []
if any('--' + opt in sys.argv for opt in Distribution.display_option_names +
['help-commands', 'help']) or sys.argv[1] == 'egg_info':
from setuptools import setup, Extension
else:
import numpy
# Use numpy versions if they are available.
from numpy.distutils.core import setup, Extension
# append numpy include dir.
inc_dirs.append(numpy.get_include())
def get_install_requirements(path):
path = os.path.join(os.path.dirname(__file__), path)
with io.open(path, encoding='utf-8') as fp:
content = fp.read()
return [req for req in content.split("\n")
if req != '' and not req.startswith('#')]
def checkversion(GEOS_dir):
"""check geos C-API header file (geos_c.h)"""
try:
f = open(os.path.join(GEOS_dir, 'include', 'geos_c.h'))
except IOError:
return None
geos_version = None
for line in f:
if line.startswith('#define GEOS_VERSION'):
geos_version = line.split()[2]
return geos_version
# get location of geos lib from environment variable if it is set.
if 'GEOS_DIR' in os.environ:
GEOS_dir = os.environ.get('GEOS_DIR')
else:
# set GEOS_dir manually here if automatic detection fails.
GEOS_dir = None
user_home = os.path.expanduser('~')
geos_search_locations = [user_home, os.path.join(user_home, 'local'),
'/usr', '/usr/local', '/sw', '/opt', '/opt/local']
if GEOS_dir is None:
# if GEOS_dir not set, check a few standard locations.
GEOS_dirs = geos_search_locations
for direc in GEOS_dirs:
geos_version = checkversion(direc)
sys.stdout.write('checking for GEOS lib in %s ....\n' % direc)
if geos_version is None or geos_version < '"3.1.1"':
continue
else:
sys.stdout.write('GEOS lib (version %s) found in %s\n' %\
(geos_version[1:-1],direc))
GEOS_dir = direc
break
else:
geos_version = checkversion(GEOS_dir)
if GEOS_dir is None:
raise SystemExit("""
Can't find geos library in standard locations ('%s').
Please install the corresponding packages using your
systems software management system (e.g. for Debian Linux do:
'apt-get install libgeos-3.3.3 libgeos-c1 libgeos-dev' and/or
set the environment variable GEOS_DIR to point to the location
where geos is installed (for example, if geos_c.h
is in /usr/local/include, and libgeos_c is in /usr/local/lib,
set GEOS_DIR to /usr/local), or edit the setup.py script
manually and set the variable GEOS_dir (right after the line
that says "set GEOS_dir manually here".""" % "', '".join(geos_search_locations))
else:
geos_include_dirs=[os.path.join(GEOS_dir,'include')] + inc_dirs
geos_library_dirs=[os.path.join(GEOS_dir,'lib'),os.path.join(GEOS_dir,'lib64')]
packages = ['mpl_toolkits','mpl_toolkits.basemap']
namespace_packages = ['mpl_toolkits']
package_dirs = {'':'lib'}
# can't install _geoslib in mpl_toolkits.basemap namespace,
# or Basemap objects won't be pickleable.
# don't use runtime_library_dirs on windows (workaround
# for a distutils bug - http://bugs.python.org/issue2437).
if sys.platform == 'win32':
runtime_lib_dirs = []
else:
runtime_lib_dirs = geos_library_dirs
extensions = [ Extension("_geoslib",['src/_geoslib.c'],
library_dirs=geos_library_dirs,
runtime_library_dirs=runtime_lib_dirs,
include_dirs=geos_include_dirs,
libraries=['geos_c']) ]
# Specify all the required mpl data
pathout =\
os.path.join('lib',os.path.join('mpl_toolkits',os.path.join('basemap','data')))
datafiles = glob.glob(os.path.join(pathout,'*'))
datafiles = [os.path.join('data',os.path.basename(f)) for f in datafiles]
package_data = {'mpl_toolkits.basemap':datafiles}
install_requires = get_install_requirements("requirements.txt")
__version__ = "1.2.0"
setup(
name = "basemap",
version = __version__,
description = "Plot data on map projections with matplotlib",
long_description = """
An add-on toolkit for matplotlib that lets you plot data
on map projections with coastlines, lakes, rivers and political boundaries.
See http://matplotlib.org/basemap/users/examples.html for
examples of what it can do.""",
url = "http://matplotlib.org/basemap/",
download_url = "https://github.com/matplotlib/basemap/archive/v{0}rel.tar.gz".format(__version__),
author = "Jeff Whitaker",
author_email = "jeffrey.s.whitaker@noaa.gov",
maintainer = "Ben Root",
maintainer_email = "ben.v.root@gmail.com",
install_requires = install_requires,
platforms = ["any"],
license = "OSI Approved",
keywords = ["python","plotting","plots","graphs","charts","GIS","mapping","map projections","maps"],
classifiers = ["Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"License :: OSI Approved",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Visualization",
"Topic :: Software Development :: Libraries :: Python Modules",
"Operating System :: OS Independent"],
packages = packages,
namespace_packages = namespace_packages,
package_dir = package_dirs,
ext_modules = extensions,
)
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