from topo.base.projection import Projection
from topo.base.sheet import Sheet
from topo.base.sheetview import CFView
from topo.misc.ipython import RunProgress
from topo.misc import color
from command import measure_cog
CoG_spec = "Image.X CoG * Image.Y CoG * Image.BlueChannel"
XYCoG = chain.instance(
group='XYCoG',
name='XYCoG',
operations=[image_overlay.instance(spec=CoG_spec),
factory.instance()])
Compositor.register(
Compositor("Image.X CoG * Image.Y CoG", XYCoG, 'XYCoG', 'display'))
import param
from holoviews import RGB, ElementOperation
from holoviews.operation.normalization import raster_normalization
class colorizeHSV(ElementOperation):
"""
Given an Overlay consisting of two Image elements, colorize the
data in the bottom Image with the data in the top Image using
the HSV color space.
"""
group = param.String(default='ColorizedHSV',
doc="""
"""
Applies hex binning by computing aggregates on a hexagonal grid.
Should not be user facing as the returned element is not directly
useable.
"""
def _process(self, element, key=None):
if isinstance(element, HexTiles):
element = project_points._process(self, element)
return hex_binning._process(self, element)
compositor = Compositor("HexTiles",
geo_hex_binning,
None,
'data',
output_type=HexTiles,
transfer_options=True,
transfer_parameters=True,
backends=['bokeh'])
Compositor.register(compositor)
Store.register(
{
WMTS: TilePlot,
Points: GeoPointPlot,
Labels: GeoLabelsPlot,
VectorField: GeoVectorFieldPlot,
Polygons: GeoPolygonPlot,
Contours: GeoContourPlot,
Rectangles: GeoRectanglesPlot,
Segments: GeoSegmentsPlot,
from holoviews.operation import gridmatrix
from .operation import regression
from holoviews.plotting.bokeh import CurvePlot
#unsure if necessary?
class Regression(hv.Curve):
group = param.String(default='Regression')
class RegressionPlot(CurvePlot):
"""
RegressionPlot visualizes a distribution of values as a trend in time.
"""
Compositor.register(
Compositor("Regression",
regression,
None,
'data',
transfer_options=True,
transfer_parameters=True,
output_type=hv.Curve,
backends=['bokeh', 'matplotlib']))
hv.Store.register({Regression: RegressionPlot}, 'bokeh')
hv.Store.set_current_backend('bokeh')
_load_mpl()
else:
try:
from . import mpl # noqa
except ImportError:
pass
try:
from . import bokeh # noqa
except ImportError:
pass
Compositor.register(
Compositor("LineContours",
contours,
None,
'data',
transfer_options=True,
transfer_parameters=True,
output_type=Contours,
backends=['bokeh', 'matplotlib']))
Compositor.register(
Compositor("FilledContours",
contours.instance(filled=True),
None,
'data',
transfer_options=True,
transfer_parameters=True,
output_type=Polygons,
backends=['bokeh', 'matplotlib']))
