Source code for bokeh.models.renderers.contour_renderer

# Copyright (c) 2012 - 2023, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
# The full license is in the file LICENSE.txt, distributed with this software.
''' Renderer for contour lines and filled polygons.

# Boilerplate
from __future__ import annotations

import logging # isort:skip
log = logging.getLogger(__name__)

# Imports

# Standard library imports
from typing import TYPE_CHECKING

# Bokeh imports
from import Float, Instance, Seq
from .glyph_renderer import GlyphRenderer
from .renderer import DataRenderer

    from ...plotting.contour import ContourData
    from ..annotations import ContourColorBar

# Globals and constants

__all__ = (

# General API

[docs]class ContourRenderer(DataRenderer): ''' Renderer for contour plots composed of filled polygons and/or lines. Rather than create these manually it is usually better to use :func:`~bokeh.plotting.figure.contour` instead. ''' # explicit __init__ to support Init signatures def __init__(self, *args, **kwargs) -> None: super().__init__(*args, **kwargs) line_renderer = Instance(GlyphRenderer, help=""" Glyph renderer used for contour lines. """) fill_renderer = Instance(GlyphRenderer, help=""" Glyph renderer used for filled contour polygons. """) levels = Seq(Float, default=[], help=""" Levels at which the contours are calculated. """)
[docs] def set_data(self, data: ContourData) -> None: ''' Set the contour line and filled polygon data to render. Accepts a :class:`~bokeh.plotting.contour.ContourData` object, such as is returned from :func:`~bokeh.plotting.contour.contour_data`. ''' if data.fill_data: # Convert dataclass to dict to add new fields and put into CDS. fill_data = data.fill_data.asdict() # Copy fill and hatch properties from old to new data source old_fill_data = for name in old_fill_data.keys(): if name not in ("xs", "ys", "lower_levels", "upper_levels"): fill_data[name] = old_fill_data[name] = fill_data else: = dict(xs=[], ys=[], lower_levels=[], upper_levels=[]) if data.line_data: # Convert dataclass to dict to add new fields and put into CDS. line_data = data.line_data.asdict() # Copy line properties from old to new data source old_line_data = for name in old_line_data.keys(): if name not in ("xs", "ys", "levels"): line_data[name] = old_line_data[name] = line_data else: = dict(xs=[], ys=[], levels=[])
[docs] def construct_color_bar(self, **kwargs) -> ContourColorBar: ''' Construct and return a new ``ContourColorBar`` for this ``ContourRenderer``. The color bar will use the same fill, hatch and line visual properties as the ContourRenderer. Extra keyword arguments may be passed in to control ``BaseColorBar`` properties such as `title`. ''' from ..annotations import ContourColorBar from ..tickers import FixedTicker return ContourColorBar( fill_renderer=self.fill_renderer, line_renderer=self.line_renderer, levels=self.levels, ticker=FixedTicker(ticks=self.levels), **kwargs, )
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