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Handle 2-d NumPy, arrays or tuples as LatLons or as pseudo-x/-y pairs.
NumPy arrays are assumed to contain rows of points with a lat-, a longitude -and possibly other- values in different columns. While iterating over the array rows, create an instance of a given LatLon class "on-the-fly" for each row with the row's lat- and longitude.
The original NumPy array is read-accessed only and never duplicated, except to create a subset of the original array.
For example, to process a NumPy array, wrap the array by instantiating class Numpy2LatLon and specifying the column index for the lat- and longitude in each row. Then, pass the Numpy2LatLon instance to any pygeodesy function or method accepting a points argument.
Similarly, class Tuple2LatLon is used to instantiate a LatLon for each 2+tuple in a list, tuple or sequence of such 2+tuples from the index for the lat- and longitude index in each 2+tuple.
Version: 18.09.09
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LatLon_ Low-overhead LatLon class for Numpy2LatLon or Tuple2LatLon' |
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LatLon2psxy Wrapper for LatLon points as "on-the-fly" pseudo-xy coordinates. |
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Numpy2LatLon Wrapper for NumPy arrays as "on-the-fly" LatLon points. |
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Tuple2LatLon Wrapper for tuple sequences as "on-the-fly" LatLon points. |
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Function Details |
Approximate the area of a polygon defined by an array, list, sequence, set or tuple of points.
Note: This is an area approximation with limited accuracy, ill-suited for regions exceeding several hundred Km or Miles or with near-polar latitudes. See Also: sphericalNvector.areaOf, sphericalTrigonometry.areaOf and ellipsoidalKarney.areaOf. |
Determine the lower-left and upper-right corners of a polygon/-line defined by a list, sequence, set or tuple of points.
Example: >>> b = LatLon(45,1), LatLon(45,2), LatLon(46,2), LatLon(46,1) >>> bounds(b) # False >>> 45.0, 1.0, 46.0, 2.0 |
Determine the direction of a polygon defined by an array, list, sequence, set or tuple of points.
Example: >>> f = LatLon(45,1), LatLon(45,2), LatLon(46,2), LatLon(46,1) >>> isclockwise(f) # False >>> t = LatLon(45,1), LatLon(46,1), LatLon(46,2) >>> isclockwise(t) # True |
Determine whether a polygon defined by an array, list, sequence, set or tuple of points is convex.
Example: >>> t = LatLon(45,1), LatLon(46,1), LatLon(46,2) >>> isconvex(t) # True >>> f = LatLon(45,1), LatLon(46,2), LatLon(45,2), LatLon(46,1) >>> isconvex(f) # False |
Determine whether a point is enclosed by a polygon defined by an array, list, sequence, set or tuple of points.
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Approximate the perimeter of a polygon/-line defined by an array, list, sequence, set or tuple of points.
Note: This perimeter is based on the equirectangular_ distance approximation and is ill-suited for regions exceeding several hundred Km or Miles or with near-polar latitudes. See Also: sphericalTrigonometry.perimeterOf and ellipsoidalKarney.perimeterOf. |
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