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ArTourter
122fba5c24
gis/python3-pyproj: Updated for version 3.3.1
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| README | c8b0f9ddf9 gis/python3-pyproj: Wrap README at 72 columns. | %!s(int64=2) %!d(string=hai) anos |
| python3-pyproj.SlackBuild | 122fba5c24 gis/python3-pyproj: Updated for version 3.3.1 | %!s(int64=2) %!d(string=hai) anos |
| python3-pyproj.info | 122fba5c24 gis/python3-pyproj: Updated for version 3.3.1 | %!s(int64=2) %!d(string=hai) anos |
| slack-desc | db5c99330e gis/python3-pyproj: Fix slack-desc. | %!s(int64=2) %!d(string=hai) anos |
README
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).
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).