pyproj (version 1.8.7) | index /usr/local/lib/python2.5/site-packages/pyproj/__init__.py

`Pyrex wrapper to provide python interfaces to
PROJ.4 (http://proj.maptools.org) functions.
Performs cartographic transformations and geodetic computations.
The Proj class can convert from geographic (longitude,latitude)
to native map projection (x,y) coordinates and vice versa, or
from one map projection coordinate system directly to another.
The Geod class can perform forward and inverse geodetic, or
Great Circle, computations. The forward computation involves
determining latitude, longitude and back azimuth of a terminus
point given the latitude and longitude of an initial point, plus
azimuth and distance. The inverse computation involves
determining the forward and back azimuths and distance given the
latitudes and longitudes of an initial and terminus point.
Input coordinates can be given as python arrays, lists/tuples,
scalars or numpy/Numeric/numarray arrays. Optimized for objects
that support the Python buffer protocol (regular python and
numpy array objects).
Download: http://code.google.com/p/pyproj/downloads/list
Requirements: python 2.4 or higher.
Example scripts are in 'test' subdirectory of source distribution.
The 'test()' function will run the examples in the docstrings.
Contact: Jeffrey Whitaker <jeffrey.s.whitaker@noaa.gov
copyright (c) 2006 by Jeffrey Whitaker.
Permission to use, copy, modify, and distribute this software
and its documentation for any purpose and without fee is hereby
granted, provided that the above copyright notice appear in all
copies and that both the copyright notice and this permission
notice appear in supporting documentation. THE AUTHOR DISCLAIMS
ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT
SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, INDIRECT OR
CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT,
NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN
CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.`

Package Contents
`` |  |
_geod | _proj |  |

Classes
`` |  | _geod.Geod(__builtin__.object) Geod _proj.Proj(__builtin__.object) Proj
class Geod(_geod.Geod)
`` | `performs forward and inverse geodetic, or Great Circle, computations. The forward computation (using the 'fwd' method) involves determining latitude, longitude and back azimuth of a terminus point given the latitude and longitude of an initial point, plus azimuth and distance. The inverse computation (using the 'inv' method) involves determining the forward and back azimuths and distance given the latitudes and longitudes of an initial and terminus point.`
| Method resolution order: Geod _geod.Geod __builtin__.object Methods defined here: fwd(self, lons, lats, az, dist, radians=False) `forward transformation - Returns longitudes, latitudes and back azimuths of terminus points given longitudes (lons) and latitudes (lats) of initial points, plus forward azimuths (az) and distances (dist). Works with numpy and regular python array objects, python sequences and scalars. if radians=True, lons/lats and azimuths are radians instead of degrees. Distances are in meters.` inv(self, lons1, lats1, lons2, lats2, radians=False) `inverse transformation - Returns forward and back azimuths, plus distances between initial points (specified by lons1, lats1) and terminus points (specified by lons2, lats2). Works with numpy and regular python array objects, python sequences and scalars. if radians=True, lons/lats and azimuths are radians instead of degrees. Distances are in meters.` npts(self, lon1, lat1, lon2, lat2, npts, radians=False) `Given a single initial point and terminus point (specified by python floats lon1,lat1 and lon2,lat2), returns a list of longitude/latitude pairs describing npts equally spaced intermediate points along the geodesic between the initial and terminus points. if radians=True, lons/lats are radians instead of degrees. Example usage: >>> from pyproj import Geod >>> g = Geod(ellps='clrk66') # Use Clarke 1966 ellipsoid. >>> # specify the lat/lons of Boston and Portland. >>> boston_lat = 42.+(15./60.); boston_lon = -71.-(7./60.) >>> portland_lat = 45.+(31./60.); portland_lon = -123.-(41./60.) >>> # find ten equally spaced points between Boston and Portland. >>> lonlats = g.npts(boston_lon,boston_lat,portland_lon,portland_lat,10) >>> for lon,lat in lonlats: print '%6.3f %7.3f' % (lat, lon) 43.528 -75.414 44.637 -79.883 45.565 -84.512 46.299 -89.279 46.830 -94.156 47.149 -99.112 47.251 -104.106 47.136 -109.100 46.805 -114.051 46.262 -118.924` Static methods defined here: __new__(self, initparams=None, **kwargs) `initialize a Geod class instance. Geodetic parameters for specifying the ellipsoid can be given in a dictionary 'initparams', as keyword arguments, or as as proj4 geod initialization string. Following is a list of the ellipsoids that may be defined using the 'ellps' keyword: MERIT a=6378137.0 rf=298.257 MERIT 1983 SGS85 a=6378136.0 rf=298.257 Soviet Geodetic System 85 GRS80 a=6378137.0 rf=298.257222101 GRS 1980(IUGG, 1980) IAU76 a=6378140.0 rf=298.257 IAU 1976 airy a=6377563.396 b=6356256.910 Airy 1830 APL4.9 a=6378137.0. rf=298.25 Appl. Physics. 1965 NWL9D a=6378145.0. rf=298.25 Naval Weapons Lab., 1965 mod_airy a=6377340.189 b=6356034.446 Modified Airy andrae a=6377104.43 rf=300.0 Andrae 1876 (Den., Iclnd.) aust_SA a=6378160.0 rf=298.25 Australian Natl & S. Amer. 1969 GRS67 a=6378160.0 rf=298.2471674270 GRS 67(IUGG 1967) bessel a=6377397.155 rf=299.1528128 Bessel 1841 bess_nam a=6377483.865 rf=299.1528128 Bessel 1841 (Namibia) clrk66 a=6378206.4 b=6356583.8 Clarke 1866 clrk80 a=6378249.145 rf=293.4663 Clarke 1880 mod. CPM a=6375738.7 rf=334.29 Comm. des Poids et Mesures 1799 delmbr a=6376428. rf=311.5 Delambre 1810 (Belgium) engelis a=6378136.05 rf=298.2566 Engelis 1985 evrst30 a=6377276.345 rf=300.8017 Everest 1830 evrst48 a=6377304.063 rf=300.8017 Everest 1948 evrst56 a=6377301.243 rf=300.8017 Everest 1956 evrst69 a=6377295.664 rf=300.8017 Everest 1969 evrstSS a=6377298.556 rf=300.8017 Everest (Sabah & Sarawak) fschr60 a=6378166. rf=298.3 Fischer (Mercury Datum) 1960 fschr60m a=6378155. rf=298.3 Modified Fischer 1960 fschr68 a=6378150. rf=298.3 Fischer 1968 helmert a=6378200. rf=298.3 Helmert 1906 hough a=6378270.0 rf=297. Hough intl a=6378388.0 rf=297. International 1909 (Hayford) krass a=6378245.0 rf=298.3 Krassovsky, 1942 kaula a=6378163. rf=298.24 Kaula 1961 lerch a=6378139. rf=298.257 Lerch 1979 mprts a=6397300. rf=191. Maupertius 1738 new_intl a=6378157.5 b=6356772.2 New International 1967 plessis a=6376523. b=6355863. Plessis 1817 (France) SEasia a=6378155.0 b=6356773.3205 Southeast Asia walbeck a=6376896.0 b=6355834.8467 Walbeck WGS60 a=6378165.0 rf=298.3 WGS 60 WGS66 a=6378145.0 rf=298.25 WGS 66 WGS72 a=6378135.0 rf=298.26 WGS 72 WGS84 a=6378137.0 rf=298.257223563 WGS 84 sphere a=6370997.0 b=6370997.0 Normal Sphere (r=6370997) The parameters of the ellipsoid may also be set directly using the 'a' (semi-major or equatorial axis radius) keyword, and any one of the following keywords: 'b' (semi-minor, or polar axis radius), 'e' (eccentricity), 'es' (eccentricity squared), 'f' (flattening), or 'rf' (reciprocal flattening). See the proj documentation (http://proj.maptools.org) for more information about specifying ellipsoid parameters (specifically, the chapter 'Specifying the Earth's figure' in the main Proj users manual). Example usage: >>> from pyproj import Geod >>> g = Geod(ellps='clrk66') # Use Clarke 1966 ellipsoid. >>> # specify the lat/lons of some cities. >>> boston_lat = 42.+(15./60.); boston_lon = -71.-(7./60.) >>> portland_lat = 45.+(31./60.); portland_lon = -123.-(41./60.) >>> newyork_lat = 40.+(47./60.); newyork_lon = -73.-(58./60.) >>> london_lat = 51.+(32./60.); london_lon = -(5./60.) >>> # compute forward and back azimuths, plus distance >>> # between Boston and Portland. >>> az12,az21,dist = g.inv(boston_lon,boston_lat,portland_lon,portland_lat) >>> print "%7.3f %6.3f %12.3f" % (az12,az21,dist) -66.531 75.654 4164192.708 >>> # compute latitude, longitude and back azimuth of Portland, >>> # given Boston lat/lon, forward azimuth and distance to Portland. >>> endlon, endlat, backaz = g.fwd(boston_lon, boston_lat, az12, dist) >>> print "%6.3f %6.3f %13.3f" % (endlat,endlon,backaz) 45.517 -123.683 75.654 >>> # compute the azimuths, distances from New York to several >>> # cities (pass a list) >>> lons1 = 3*[newyork_lon]; lats1 = 3*[newyork_lat] >>> lons2 = [boston_lon, portland_lon, london_lon] >>> lats2 = [boston_lat, portland_lat, london_lat] >>> az12,az21,dist = g.inv(lons1,lats1,lons2,lats2) >>> for faz,baz,d in zip(az12,az21,dist): print "%7.3f %7.3f %9.3f" % (faz,baz,d) 54.663 -123.448 288303.720 -65.463 79.342 4013037.318 51.254 -71.576 5579916.649 >>> g2 = Geod('+ellps=clrk66') # use proj4 style initialization string >>> az12,az21,dist = g2.inv(boston_lon,boston_lat,portland_lon,portland_lat) >>> print "%7.3f %6.3f %12.3f" % (az12,az21,dist) -66.531 75.654 4164192.708` Data descriptors defined here: __dict__ `dictionary for instance variables (if defined)` __weakref__ `list of weak references to the object (if defined)` Methods inherited from _geod.Geod: __reduce__(...) `special method that allows pyproj.Geod instance to be pickled` Data descriptors inherited from _geod.Geod: geodstring proj_version
class Proj(_proj.Proj)
`` | `performs cartographic transformations (converts from longitude,latitude to native map projection x,y coordinates and vice versa) using proj (http://proj.maptools.org/) A Proj class instance is initialized with proj map projection control parameter key/value pairs. The key/value pairs can either be passed in a dictionary, or as keyword arguments, or as a proj4 string (compatible with the proj command). See http://www.remotesensing.org/geotiff/proj_list for examples of key/value pairs defining different map projections. Calling a Proj class instance with the arguments lon, lat will convert lon/lat (in degrees) to x/y native map projection coordinates (in meters). If optional keyword 'inverse' is True (default is False), the inverse transformation from x/y to lon/lat is performed. If optional keyword 'radians' is True (default is False) lon/lat are interpreted as radians instead of degrees. If optional keyword 'errcheck' is True (default is False) an exception is raised if the transformation is invalid. If errcheck=False and the transformation is invalid, no exception is raised and 1.e30 is returned. If the optional keyword 'preserve_units' is True, the units in map projection coordinates are not forced to be meters. Works with numpy and regular python array objects, python sequences and scalars.`
| Method resolution order: Proj _proj.Proj __builtin__.object Methods defined here: __call__(self, *args, **kw) `Calling a Proj class instance with the arguments lon, lat will convert lon/lat (in degrees) to x/y native map projection coordinates (in meters). If optional keyword 'inverse' is True (default is False), the inverse transformation from x/y to lon/lat is performed. If optional keyword 'radians' is True (default is False) the units of lon/lat are radians instead of degrees. If optional keyword 'errcheck' is True (default is False) an exception is raised if the transformation is invalid. If errcheck=False and the transformation is invalid, no exception is raised and 1.e30 is returned. Instead of calling with lon, lat, a single ndarray of shape n,2 may be used, and one of the same shape will be returned; this is more efficient. Inputs should be doubles (they will be cast to doubles if they are not, causing a slight performance hit). Works with numpy and regular python array objects, python sequences and scalars, but is fastest for array objects.` is_geocent(self) `returns True if projection in geocentric (x/y) coordinates` is_latlong(self) `returns True if projection in geographic (lon/lat) coordinates` Static methods defined here: __new__(self, projparams=None, preserve_units=False, **kwargs) `initialize a Proj class instance. Proj4 projection control parameters must either be given in a dictionary 'projparams' or as keyword arguments. See the proj documentation (http://proj.maptools.org) for more information about specifying projection parameters. Example usage: >>> from pyproj import Proj >>> p = Proj(proj='utm',zone=10,ellps='WGS84') # use kwargs >>> x,y = p(-120.108, 34.36116666) >>> print 'x=%9.3f y=%11.3f' % (x,y) x=765975.641 y=3805993.134 >>> print 'lon=%8.3f lat=%5.3f' % p(x,y,inverse=True) lon=-120.108 lat=34.361 >>> # do 3 cities at a time in a tuple (Fresno, LA, SF) >>> lons = (-119.72,-118.40,-122.38) >>> lats = (36.77, 33.93, 37.62 ) >>> x,y = p(lons, lats) >>> print 'x: %9.3f %9.3f %9.3f' % x x: 792763.863 925321.537 554714.301 >>> print 'y: %9.3f %9.3f %9.3f' % y y: 4074377.617 3763936.941 4163835.303 >>> lons, lats = p(x, y, inverse=True) # inverse transform >>> print 'lons: %8.3f %8.3f %8.3f' % lons lons: -119.720 -118.400 -122.380 >>> print 'lats: %8.3f %8.3f %8.3f' % lats lats: 36.770 33.930 37.620 >>> p2 = Proj('+proj=utm +zone=10 +ellps=WGS84') # use proj4 string >>> x,y = p2(-120.108, 34.36116666) >>> print 'x=%9.3f y=%11.3f' % (x,y) x=765975.641 y=3805993.134 >>> p = Proj(init="epsg:32667") >>> print 'x=%12.3f y=%12.3f (meters)' % p(-114.057222, 51.045) x=-1783486.760 y= 6193833.196 (meters) >>> p = Proj("+init=epsg:32667",preserve_units=True) >>> print 'x=%12.3f y=%12.3f (feet)' % p(-114.057222, 51.045) x=-5851322.810 y=20320934.409 (feet)` Data descriptors defined here: __dict__ `dictionary for instance variables (if defined)` __weakref__ `list of weak references to the object (if defined)` Methods inherited from _proj.Proj: __reduce__(...) `special method that allows pyproj.Proj instance to be pickled` Data descriptors inherited from _proj.Proj: proj_version srs

Functions
`` |  | set_datapath(...) test() `run the examples in the docstrings using the doctest module` transform(p1, p2, x, y, z=None, radians=False) `x2, y2, z2 = transform(p1, p2, x1, y1, z1, radians=False) Transform points between two coordinate systems defined by the Proj instances p1 and p2. The points x1,y1,z1 in the coordinate system defined by p1 are transformed to x2,y2,z2 in the coordinate system defined by p2. z1 is optional, if it is not set it is assumed to be zero (and only x2 and y2 are returned). In addition to converting between cartographic and geographic projection coordinates, this function can take care of datum shifts (which cannot be done using the __call__ method of the Proj instances). It also allows for one of the coordinate systems to be geographic (proj = 'latlong'). If optional keyword 'radians' is True (default is False) and p1 is defined in geographic coordinate (pj.is_latlong() is True), x1,y1 is interpreted as radians instead of the default degrees. Similarly, if p2 is defined in geographic coordinates and radians=True, x2, y2 are returned in radians instead of degrees. if p1.is_latlong() and p2.is_latlong() both are False, the radians keyword has no effect. x,y and z can be numpy or regular python arrays, python lists/tuples or scalars. Arrays are fastest. For projections in geocentric coordinates, values of x and y are given in meters. z is always meters. Example usage: >>> # projection 1: UTM zone 15, grs80 ellipse, NAD83 datum >>> # (defined by epsg code 26915) >>> p1 = Proj(init='epsg:26915') >>> # projection 2: UTM zone 15, clrk66 ellipse, NAD27 datum >>> p2 = Proj(init='epsg:26715') >>> # find x,y of Jefferson City, MO. >>> x1, y1 = p1(-92.199881,38.56694) >>> # transform this point to projection 2 coordinates. >>> x2, y2 = transform(p1,p2,x1,y1) >>> print '%9.3f %11.3f' % (x1,y1) 569704.566 4269024.671 >>> print '%9.3f %11.3f' % (x2,y2) 569706.333 4268817.680 >>> print '%8.3f %5.3f' % p2(x2,y2,inverse=True) -92.200 38.567 >>> # process 3 points at a time in a tuple >>> lats = (38.83,39.32,38.75) # Columbia, KC and StL Missouri >>> lons = (-92.22,-94.72,-90.37) >>> x1, y1 = p1(lons,lats) >>> x2, y2 = transform(p1,p2,x1,y1) >>> xy = x1+y1 >>> print '%9.3f %9.3f %9.3f %11.3f %11.3f %11.3f' % xy 567703.344 351730.944 728553.093 4298200.739 4353698.725 4292319.005 >>> xy = x2+y2 >>> print '%9.3f %9.3f %9.3f %11.3f %11.3f %11.3f' % xy 567705.072 351727.113 728558.917 4297993.157 4353490.111 4292111.678 >>> lons, lats = p2(x2,y2,inverse=True) >>> xy = lons+lats >>> print '%8.3f %8.3f %8.3f %5.3f %5.3f %5.3f' % xy -92.220 -94.720 -90.370 38.830 39.320 38.750`

Data
`` |  | __version__ = '1.8.7' pyproj_datadir = '/usr/local/lib/python2.5/site-packages/pyproj/data'