holoviews.plotting.bokeh.heatmap module#
- class holoviews.plotting.bokeh.heatmap.HeatMapPlot(element, plot=None, **params)[source]#
Bases:
ColorbarPlotParameter Definitions
Parameters inherited from:
holoviews.plotting.plot.DimensionedPlot: fontscale, show_title, normalize, projectionholoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, logx, logy, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotationholoviews.plotting.bokeh.plot.BokehPlot: title, shared_datasource, title_formatholoviews.plotting.bokeh.element.ElementPlot: fontsize, xticks, yticks, toolbar, width, height, active_tools, align, apply_hard_bounds, autorange, border, aspect, backend_opts, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, multi_y, scalebar, scalebar_range, scalebar_unit, scalebar_location, scalebar_label, scalebar_tool, scalebar_opts, subcoordinate_y, subcoordinate_scale, responsive, gridstyle, labelled, lod, show_frame, shared_axes, default_tools, tools, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatterholoviews.plotting.bokeh.element.ColorbarPlot: color_levels, cformatter, clabel, clim, clim_percentile, cnorm, colorbar, colorbar_position, colorbar_opts, cticks, logz, rescale_discrete_levels, symmetricpadding = ClassSelector(class_=(<class 'int'>, <class 'float'>, <class 'tuple'>), default=0, label='Padding')Fraction by which to increase auto-ranged extents to make datapoints more visible around borders. To compute padding, the axis whose screen size is largest is chosen, and the range of that axis is increased by the specified fraction along each axis. Other axes are then padded ensuring that the amount of screen space devoted to padding is equal for all axes. If specified as a tuple, the int or float values in the tuple will be used for padding in each axis, in order (x,y or x,y,z). For example, for padding=0.2 on a 800x800-pixel plot, an x-axis with the range [0,10] will be padded by 20% to be [-1,11], while a y-axis with a range [0,1000] will be padded to be [-100,1100], which should make the padding be approximately the same number of pixels. But if the same plot is changed to have a height of only 200, the y-range will then be [-400,1400] so that the y-axis padding will still match that of the x-axis. It is also possible to declare non-equal padding value for the lower and upper bound of an axis by supplying nested tuples, e.g. padding=(0.1, (0, 0.1)) will pad the x-axis lower and upper bound as well as the y-axis upper bound by a fraction of 0.1 while the y-axis lower bound is not padded at all.
show_legend = Boolean(default=False, label='Show legend')Whether to show legend for the plot.
clipping_colors = Dict(class_=<class 'dict'>, default={'NaN': 'white'}, label='Clipping colors')Dictionary to specify colors for clipped values. Allows setting color for NaN values and for values above and below the min and max value. The min, max, or NaN color may specify an RGB(A) color as a either (1) a color hex string of the form #FFFFFF or #FFFFFFFF, (2) a length-3 or length-4 tuple specifying values in the range 0-1, or (3) a named HTML color.
radial = Boolean(default=False, label='Radial')Whether the HeatMap should be radial
xmarks = Parameter(allow_None=True, label='Xmarks')Add separation lines to the heatmap for better readability. By default, does not show any separation lines. If parameter is of type integer, draws the given amount of separations lines spread across heatmap. If parameter is of type list containing integers, show separation lines at given indices. If parameter is of type tuple, draw separation lines at given categorical values. If parameter is of type function, draw separation lines where function returns True for passed heatmap category.
ymarks = Parameter(allow_None=True, label='Ymarks')Add separation lines to the heatmap for better readability. By default, does not show any separation lines. If parameter is of type integer, draws the given amount of separations lines spread across heatmap. If parameter is of type list containing integers, show separation lines at given indices. If parameter is of type tuple, draw separation lines at given categorical values. If parameter is of type function, draw separation lines where function returns True for passed heatmap category.
- class holoviews.plotting.bokeh.heatmap.RadialHeatMapPlot(*args, **kwargs)[source]#
Bases:
CompositeElementPlot,ColorbarPlotParameter Definitions
Parameters inherited from:
holoviews.plotting.plot.DimensionedPlot: fontscale, show_title, normalize, projectionholoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, bgcolor, default_span, hooks, invert_axes, invert_xaxis, invert_yaxis, logx, logy, padding, show_legend, show_grid, xaxis, yaxis, xlabel, ylabel, xlim, ylim, zlim, xrotationholoviews.plotting.bokeh.plot.BokehPlot: title, shared_datasource, title_formatholoviews.plotting.bokeh.element.ElementPlot: fontsize, toolbar, width, height, active_tools, align, apply_hard_bounds, autorange, border, aspect, backend_opts, data_aspect, frame_width, frame_height, min_width, min_height, max_width, max_height, margin, multi_y, scalebar, scalebar_range, scalebar_unit, scalebar_location, scalebar_label, scalebar_tool, scalebar_opts, subcoordinate_y, subcoordinate_scale, responsive, gridstyle, labelled, lod, shared_axes, default_tools, tools, hover_tooltips, hover_formatters, hover_mode, xformatter, yformatterholoviews.plotting.bokeh.element.ColorbarPlot: color_levels, cformatter, clabel, clim, clim_percentile, cnorm, colorbar, colorbar_position, colorbar_opts, cticks, logz, rescale_discrete_levels, symmetricyrotation = Number(bounds=(0, 360), default=90, inclusive_bounds=(True, True), label='Yrotation')Define angle along which yticks/annulars are shown. By default, yticks are drawn like a regular y-axis.
xticks = Parameter(default=4, label='Xticks')Ticks along x-axis/segments specified as an integer, explicit list of ticks or function. If None, no ticks are shown.
yticks = Parameter(default=4, label='Yticks')Ticks along y-axis/annulars specified as an integer, explicit list of ticks or function. If None, no ticks are shown.
show_frame = Boolean(default=False, label='Show frame')Whether or not to show a complete frame around the plot.
clipping_colors = Dict(class_=<class 'dict'>, default={'NaN': 'white'}, label='Clipping colors')Dictionary to specify colors for clipped values. Allows setting color for NaN values and for values above and below the min and max value. The min, max, or NaN color may specify an RGB(A) color as a either (1) a color hex string of the form #FFFFFF or #FFFFFFFF, (2) a length-3 or length-4 tuple specifying values in the range 0-1, or (3) a named HTML color.
start_angle = Number(default=1.5707963267948966, inclusive_bounds=(True, True), label='Start angle')Define starting angle of the first annulus segment. By default, begins at 12 o’clock.
radius_inner = Number(bounds=(0, 0.5), default=0.1, inclusive_bounds=(True, True), label='Radius inner')Define the radius fraction of inner, empty space.
radius_outer = Number(bounds=(0, 1), default=0.05, inclusive_bounds=(True, True), label='Radius outer')Define the radius fraction of outer space including the labels.
xmarks = Parameter(allow_None=True, label='Xmarks')Add separation lines between segments for better readability. By default, does not show any separation lines. If parameter is of type integer, draws the given amount of separations lines spread across radial heatmap. If parameter is of type list containing integers, show separation lines at given indices. If parameter is of type tuple, draw separation lines at given segment values. If parameter is of type function, draw separation lines where function returns True for passed segment value.
ymarks = Parameter(allow_None=True, label='Ymarks')Add separation lines between annulars for better readability. By default, does not show any separation lines. If parameter is of type integer, draws the given amount of separations lines spread across radial heatmap. If parameter is of type list containing integers, show separation lines at given indices. If parameter is of type tuple, draw separation lines at given annular values. If parameter is of type function, draw separation lines where function returns True for passed annular value.
max_radius = Number(default=0.5, inclusive_bounds=(True, True), label='Max radius')Define the maximum radius which is used for the x and y range extents.
radial = Boolean(default=True, label='Radial')Whether the HeatMap should be radial
- get_data(element, ranges, style)[source]#
Returns the data from an element in the appropriate format for initializing or updating a ColumnDataSource and a dictionary which maps the expected keywords arguments of a glyph to the column in the datasource.