geocontour.examples package
Functions serving as example use cases for geocontour
- geocontour.examples.small()
Run a small scale example of geocontour processing using mock data and save resulting plots to run directory
find mask using area criteria (0.5) and plot boundary/mask
trace contour using improved pavlidis algorithm and plot resultant contour and contour search
compute geocontour from contour and plot, using simplify option
- Return type:
None
See also
Examples
>>> import numpy as np >>> import geocontour.masksearch as gcms >>> import geocontour.contourtrace as gcct >>> from geocontour import build >>> import geocontour.output as gco >>> import importlib.resources as ilr >>> boundfil=ilr.files('geocontour'). ... joinpath('data/generic_boundary.npz') >>> boundfil PosixPath('path/to/your/geocontour/geocontour/data/generic_boundary.npz') >>> data=np.load(boundfil) >>> latitudes=data['latitudes'] >>> latitudes array([ 3.25, 2.75, 2.25, 1.75, 1.25, 0.75, 0.25, -0.25, -0.75, -1.25, -1.75, -2.25, -2.75, -3.25]) >>> longitudes=data['longitudes'] >>> longitudes array([-3.25, -2.75, -2.25, -1.75, -1.25, -0.75, -0.25, 0.25, 0.75, 1.25, 1.75, 2.25, 2.75, 3.25]) >>> boundary=data['boundary'] >>> boundary array([[-1.3, -2.4], [ 1. , 0. ], [ 4.9, 0. ], [ 1.9, 4.6], [-0.7, 2.5], [-1.1, 3.5], [-1.8, 3.5], [-1.8, 2.5], [-1.2, 2.5], [-1.2, 2.1], [-1.3, -2.4]]) >>> mask=gcms.area(latitudes, longitudes, boundary) >>> contour,contoursearch=gcct.pavlidis_imp(mask, latitudes, ... longitudes) >>> geocontour=build(contour, latitudes, longitudes) >>> geocontour_simp=build(contour, latitudes, longitudes, ... simplify=True) >>> gco.plot(latitudes, longitudes, boundary=boundary, mask=mask, ... title='Example Mask and Boundary', ... outname='example_small_boundary+mask', outdpi='indep', ... transp=True) >>> gco.plot(latitudes, longitudes, mask=mask, ... contoursearch=contoursearch, title='Example Contour Search', ... outname='example_small_contoursearch', outdpi='indep', ... transp=True) >>> gco.plot(latitudes, longitudes, contour=contour, ... cells='contour', title='Example Contour', ... outname='example_small_contour', outdpi='indep', transp=True) >>> gco.plot(latitudes, longitudes, geocontour=geocontour, ... buffer=True, title='Example Geocontour', ... outname='example_small_geocontour', outdpi='indep', transp=True) >>> gco.plot(latitudes, longitudes, geocontour=geocontour_simp, ... buffer=True, title='Example Geocontour - Simplified', ... outname='example_small_geocontour_simp', outdpi='indep', ... transp=True)
- geocontour.examples.large()
Run a large scale example of geocontour processing using the Mississippi River Basin boundary and save resulting plots to run directory
find mask using area criteria (0.5) and plot boundary/mask
trace contour using improved pavlidis algorithm and plot resultant contour and contour search
compute geocontour from contour and plot, using simplify option
plot geocontour with cartopy background options (borders and physical features) - will error and exit if cartopy not installed
- Return type:
None
See also
Examples
>>> import numpy as np >>> import geocontour.masksearch as gcms >>> import geocontour.contourtrace as gcct >>> from geocontour import build >>> import geocontour.output as gco >>> import importlib.resources as ilr >>> boundfil=ilr.files('geocontour'). ... joinpath('data/MissBasin_boundary.npz') >>> data=np.load(boundfil) >>> latitudes=data['latitudes'] >>> longitudes=data['longitudes'] >>> boundary=data['boundary'] >>> mask=gcms.area(latitudes, longitudes, boundary) >>> contour, contoursearch=gcct.pavlidis_imp(mask, latitudes, ... longitudes, direction='ccw') >>> geocontour=build(contour, latitudes, longitudes, simplify=True) >>> gco.plot(latitudes, longitudes, boundary=boundary, mask=mask, ... title='Example Mask and Boundary\nMississippi River Basin', ... outname='example_large_boundary+mask', transp=True) >>> gco.plot(latitudes, longitudes, mask=mask, ... contoursearch=contoursearch, ... title='Example Contour Search\nMississippi River Basin', ... outname='example_large_contoursearch', transp=True) >>> gco.plot(latitudes, longitudes, contour=contour, ... cells='contour', ... title='Example Contour\nMississippi River Basin', ... outname='example_large_contour', transp=True) >>> gco.plot(latitudes, longitudes, geocontour=geocontour, ... title='Example Geocontour\nMississippi River Basin', ... outname='example_large_geocontour', transp=True) >>> gco.plot(latitudes, longitudes, geocontour=geocontour, ... title='Example Geocontour\nMississippi River Basin', ... outname='example_large_geocontour+natfeat', features='natural', ... transp=True) >>> gco.plot(latitudes, longitudes, geocontour=geocontour, ... title='Example Geocontour\nMississippi River Basin', ... outname='example_large_geocontour+bordfeat', features='borders', ... transp=True)