def test_geometry(self):
import shapely.geometry as shpg
g = Grid(nxny=(3, 3),
dxdy=(1, 1),
x0y0=(0, 0),
proj=wgs84,
pixel_ref='corner')
p = shpg.Polygon([(1.5, 1.), (2., 1.5), (1.5, 2.), (1., 1.5)])
o = gis.transform_geometry(p, to_crs=g)
assert_allclose(p.exterior.coords, o.exterior.coords)
q = gis.transform_geometry(o, crs=g)
assert_allclose(p.exterior.coords, q.exterior.coords)
o = gis.transform_geometry(p, to_crs=g.center_grid)
totest = np.array(o.exterior.coords) + 0.5
assert_allclose(p.exterior.coords, totest)
x, y = g.corner_grid.xy_coordinates
p = shpg.MultiPoint(
[shpg.Point(i, j) for i, j in zip(x.flatten(), y.flatten())])
o = gis.transform_geometry(p, to_crs=g.proj)
assert_allclose([_p.coords for _p in o], [_p.coords for _p in p])
def set_roi(self, shape=None, geometry=None, crs=wgs84, grid=None,
corners=None, noerase=False):
"""Set a region of interest for the dataset.
If set succesfully, a ROI is simply a mask of the same size as the
dataset's grid, obtained with the .roi attribute.
I haven't decided yet if the data should be masekd out when a ROI
has been set.
Parameters
----------
shape: path to a shapefile
geometry: a shapely geometry
crs: the crs of the geometry
grid: a Grid object
corners: a ((x0, y0), (x1, y1)) tuple of the corners of the square
to subset the dataset to. The coordinates are not expressed in
wgs84, set the crs keyword
noerase: set to true in order to add the new ROI to the previous one
"""
# The rois are always defined on the original grids, but of course
# we take that into account when a subset is set (see roi
# decorator below)
ogrid = self._ogrid
# Initial mask
if noerase and (self.roi is not None):
mask = self.roi
else:
mask = np.zeros((ogrid.ny, ogrid.nx), dtype=np.int16)
# Several cases
if shape is not None:
gdf = sio.read_shapefile(shape)
gis.transform_geopandas(gdf, to_crs=ogrid.corner_grid,
inplace=True)
if rasterio is None:
raise ImportError('This feature needs rasterio')
from rasterio.features import rasterize
with rasterio.Env():
mask = rasterize(gdf.geometry, out=mask)
if geometry is not None:
geom = gis.transform_geometry(geometry, crs=crs,
to_crs=ogrid.corner_grid)
if rasterio is None:
raise ImportError('This feature needs rasterio')
from rasterio.features import rasterize
with rasterio.Env():
mask = rasterize(np.atleast_1d(geom), out=mask)
if grid is not None:
_tmp = np.ones((grid.ny, grid.nx), dtype=np.int16)
mask = ogrid.map_gridded_data(_tmp, grid, out=mask).filled(0)
if corners is not None:
cgrid = self._ogrid.center_grid
xy0, xy1 = corners
x0, y0 = cgrid.transform(*xy0, crs=crs, nearest=True)
x1, y1 = cgrid.transform(*xy1, crs=crs, nearest=True)
mask[np.min([y0, y1]):np.max([y0, y1])+1,
np.min([x0, x1]):np.max([x0, x1])+1] = 1
self.roi = mask
def set_geometry(self,
geometry=None,
crs=wgs84,
text=None,
text_delta=(0.01, 0.01),
text_kwargs=dict(),
**kwargs):
"""Adds any Shapely geometry to the map.
If called without arguments, it removes all previous geometries.
Parameters
----------
geometry: a Shapely gometry object (must be a scalar!)
crs: the associated coordinate reference system (default wgs84)
text: if you want to add a text to the geometry (it's position is
based on the geometry's centroid)
text_delta: it can be useful to shift the text of a certain amount
when annotating points. units are percentage of data coordinates.
text_kwargs: the keyword arguments to pass to the test() function
kwargs: any keyword associated with the geometry's plotting function:
- Point: all keywords accepted by scatter(): marker, s, edgecolor,
facecolor...
- Line: all keywords accepted by plot(): color, linewidth...
- Polygon: all keywords accepted by PathPatch(): color, edgecolor,
facecolor, linestyle, linewidth, alpha...
"""
# Reset?
if geometry is None:
self._geometries = []
return
# Transform
geom = gis.transform_geometry(geometry,
crs=crs,
to_crs=self.grid.center_grid)
# Text
if text is not None:
x, y = geom.centroid.xy
x = x[0] + text_delta[0] * self.grid.nx
sign = self.grid.dy / np.abs(self.grid.dy)
y = y[0] + text_delta[1] * self.grid.ny * sign
self.set_text(x, y, text, crs=self.grid.center_grid, **text_kwargs)
# Save
if 'Multi' in geom.type:
for g in geom:
self._geometries.append((g, kwargs))
# dirty solution: I should use collections instead
if 'label' in kwargs:
kwargs = kwargs.copy()
del kwargs['label']
else:
self._geometries.append((geom, kwargs))
def test_geometry(self):
import shapely.geometry as shpg
g = Grid(nxny=(3, 3), dxdy=(1, 1), ll_corner=(0, 0), proj=wgs84,
pixel_ref='corner')
p = shpg.Polygon([(1.5, 1.), (2., 1.5), (1.5, 2.), (1., 1.5)])
o = gis.transform_geometry(p, to_crs=g)
assert_allclose(p.exterior.coords, o.exterior.coords)
o = gis.transform_geometry(p, to_crs=g.center_grid)
totest = np.array(o.exterior.coords) + 0.5
assert_allclose(p.exterior.coords, totest)
x, y = g.corner_grid.xy_coordinates
p = shpg.MultiPoint([shpg.Point(i, j) for i, j in zip(x.flatten(),
y.flatten())])
o = gis.transform_geometry(p, to_crs=g.proj)
assert_allclose([_p.coords for _p in o], [_p.coords for _p in p])
def set_roi(self, shape=None, geometry=None, crs=wgs84, grid=None,
corners=None, noerase=False):
"""Set a region of interest for the dataset.
If set succesfully, a ROI is simply a mask of the same size as the
dataset's grid, obtained with the .roi attribute.
I haven't decided yet if the data should be masekd out when a ROI
has been set.
Parameters
----------
shape: path to a shapefile
geometry: a shapely geometry
crs: the crs of the geometry
grid: a Grid object
corners: a ((x0, y0), (x1, y1)) tuple of the corners of the square
to subset the dataset to. The coordinates are not expressed in
wgs84, set the crs keyword
noerase: set to true in order to add the new ROI to the previous one
"""
# The rois are always defined on the original grids, but of course
# we take that into account when a subset is set (see roi
# decorator below)
ogrid = self._ogrid
# Initial mask
if noerase and (self.roi is not None):
mask = self.roi
else:
mask = np.zeros((ogrid.ny, ogrid.nx), dtype=np.int16)
# Several cases
if shape is not None:
gdf = sio.read_shapefile(shape)
gis.transform_geopandas(gdf, to_crs=ogrid.corner_grid,
inplace=True)
with rasterio.Env():
mask = features.rasterize(gdf.geometry, out=mask)
if geometry is not None:
geom = gis.transform_geometry(geometry, crs=crs,
to_crs=ogrid.corner_grid)
with rasterio.Env():
mask = features.rasterize(np.atleast_1d(geom), out=mask)
if grid is not None:
_tmp = np.ones((grid.ny, grid.nx), dtype=np.int16)
mask = ogrid.map_gridded_data(_tmp, grid, out=mask).filled(0)
if corners is not None:
cgrid = self._ogrid.center_grid
xy0, xy1 = corners
x0, y0 = cgrid.transform(*xy0, crs=crs, nearest=True)
x1, y1 = cgrid.transform(*xy1, crs=crs, nearest=True)
mask[np.min([y0, y1]):np.max([y0, y1])+1,
np.min([x0, x1]):np.max([x0, x1])+1] = 1
self.roi = mask
def set_geometry(self, geometry=None, crs=wgs84, text=None,
text_delta=(0.01, 0.01), text_kwargs=dict(), **kwargs):
"""Adds any Shapely geometry to the map.
If called without arguments, it removes all previous geometries.
Parameters
----------
geometry: a Shapely gometry object (must be a scalar!)
crs: the associated coordinate reference system (default wgs84)
text: if you want to add a text to the geometry (it's position is
based on the geometry's centroid)
text_delta: it can be useful to shift the text of a certain amount
when annotating points. units are percentage of data coordinates.
text_kwargs: the keyword arguments to pass to the test() function
kwargs: any keyword associated with the geometrie's plotting function::
- Point: all keywords accepted by scatter(): marker, s, edgecolor,
facecolor...
- Line: all keywords accepted by plot(): color, linewidth...
- Polygon: all keywords accepted by PathPatch(): color, edgecolor,
facecolor, linestyle, linewidth, alpha...
"""
# Reset?
if geometry is None:
self._geometries = []
return
# Transform
geom = gis.transform_geometry(geometry, crs=crs,
to_crs=self.grid.center_grid)
# Text
if text is not None:
x, y = geom.centroid.xy
x = x[0] + text_delta[0] * self.grid.nx
sign = self.grid.dy / np.abs(self.grid.dy)
y = y[0] + text_delta[1] * self.grid.ny * sign
self.set_text(x, y, text, crs=self.grid.center_grid,
**text_kwargs)
# Save
if 'Multi' in geom.type:
for g in geom:
self._geometries.append((g, kwargs))
# dirty solution: I should use collections instead
if 'label' in kwargs:
kwargs = kwargs.copy()
del kwargs['label']
else:
self._geometries.append((geom, kwargs))