holoviews.plotting.plotly.element module#
- class holoviews.plotting.plotly.element.ColorbarPlot(element, plot=None, **params)[source]#
Bases:
ElementPlotParameter Definitions
Parameters inherited from:
holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, normalize, projectionholoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, default_span, hooks, padding, show_grid, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotationholoviews.plotting.plotly.plot.PlotlyPlot: width, heightholoviews.plotting.plotly.element.ElementPlot: bgcolor, invert_axes, invert_xaxis, invert_yaxis, logx, logy, show_legend, xaxis, yaxis, xticks, yticks, aspect, invert_zaxis, labelled, logz, margins, responsive, zlabel, zticksclim = NumericTuple(default=(nan, nan), label='Clim', length=2)User-specified colorbar axis range limits for the plot, as a tuple (low,high). If specified, takes precedence over data and dimension ranges.
clim_percentile = ClassSelector(class_=(<class 'int'>, <class 'float'>, <class 'bool'>), default=False, label='Clim percentile')Percentile value to compute colorscale robust to outliers. If True, uses 2nd and 98th percentile; otherwise uses the specified numerical percentile value.
colorbar = Boolean(default=False, label='Colorbar')Whether to display a colorbar.
color_levels = ClassSelector(allow_None=True, class_=(<class 'int'>, <class 'list'>), label='Color levels')Number of discrete colors to use when colormapping or a set of color intervals defining the range of values to map each color to.
colorbar_opts = Dict(class_=<class 'dict'>, default={}, label='Colorbar opts')Allows setting including borderwidth, showexponent, nticks, outlinecolor, thickness, bgcolor, outlinewidth, bordercolor, ticklen, xpad, ypad, tickangle…
symmetric = Boolean(default=False, label='Symmetric')Whether to make the colormap symmetric around zero.
- class holoviews.plotting.plotly.element.ElementPlot(element, plot=None, **params)[source]#
Bases:
PlotlyPlot,GenericElementPlotParameter Definitions
Parameters inherited from:
holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, normalize, projectionholoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, default_span, hooks, padding, show_grid, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotationholoviews.plotting.plotly.plot.PlotlyPlot: width, heightbgcolor = ClassSelector(allow_None=True, class_=(<class 'str'>, <class 'tuple'>), label='Bgcolor')If set bgcolor overrides the background color of the axis.
invert_axes = Selector(default=False, label='Invert axes', names={}, objects=[False])Inverts the axes of the plot. Note that this parameter may not always be respected by all plots but should be respected by adjoined plots when appropriate.
invert_xaxis = Boolean(default=False, label='Invert xaxis')Whether to invert the plot x-axis.
invert_yaxis = Boolean(default=False, label='Invert yaxis')Whether to invert the plot y-axis.
logx = Boolean(default=False, label='Logx')Whether to apply log scaling to the x-axis of the Chart.
logy = Boolean(default=False, label='Logy')Whether to apply log scaling to the y-axis of the Chart.
show_legend = Boolean(default=False, label='Show legend')Whether to show legend for the plot.
xaxis = Selector(default='bottom', label='Xaxis', names={}, objects=['top', 'bottom', 'bare', 'top-bare', 'bottom-bare', None])Whether and where to display the xaxis, bare options allow suppressing all axis labels including ticks and xlabel. Valid options are ‘top’, ‘bottom’, ‘bare’, ‘top-bare’ and ‘bottom-bare’.
yaxis = Selector(default='left', label='Yaxis', names={}, objects=['left', 'right', 'bare', 'left-bare', 'right-bare', None])Whether and where to display the yaxis, bare options allow suppressing all axis labels including ticks and ylabel. Valid options are ‘left’, ‘right’, ‘bare’ ‘left-bare’ and ‘right-bare’.
xticks = Parameter(allow_None=True, label='Xticks')Ticks along x-axis specified as an integer, explicit list of tick locations, list of tuples containing the locations.
yticks = Parameter(allow_None=True, label='Yticks')Ticks along y-axis specified as an integer, explicit list of tick locations, list of tuples containing the locations.
aspect = Parameter(default='cube', label='Aspect')The aspect ratio mode of the plot. By default, a plot may select its own appropriate aspect ratio but sometimes it may be necessary to force a square aspect ratio (e.g. to display the plot as an element of a grid). The modes ‘auto’ and ‘equal’ correspond to the axis modes of the same name in matplotlib, a numeric value may also be passed.
invert_zaxis = Boolean(default=False, label='Invert zaxis')Whether to invert the plot z-axis.
labelled = List(bounds=(0, None), default=['x', 'y', 'z'], label='Labelled')Whether to label the ‘x’ and ‘y’ axes.
logz = Boolean(default=False, label='Logz')Whether to apply log scaling to the y-axis of the Chart.
margins = NumericTuple(default=(50, 50, 50, 50), label='Margins', length=4)Margins in pixel values specified as a tuple of the form (left, bottom, right, top).
responsive = Boolean(default=False, label='Responsive')Whether the plot should stretch to fill the available space.
zlabel = String(allow_None=True, label='Zlabel')An explicit override of the z-axis label, if set takes precedence over the dimension label.
zticks = Parameter(allow_None=True, label='Zticks')Ticks along z-axis specified as an integer, explicit list of tick locations, list of tuples containing the locations.
- init_graph(datum, options, index=0, **kwargs)[source]#
Initialize the plotly components that will represent the element
Parameters#
- datumdict
An element of the data list returned by the get_data method
- optionsdict
Graph options that were returned by the graph_options method
- indexint
Index of datum in the original list returned by the get_data method
Returns#
- dict
Dictionary of the plotly components that represent the element. Keys may include:
‘traces’: List of trace dicts
‘annotations’: List of annotations dicts
‘images’: List of image dicts
‘shapes’: List of shape dicts
- class holoviews.plotting.plotly.element.OverlayPlot(overlay, ranges=None, batched=True, keys=None, group_counter=None, **params)[source]#
Bases:
GenericOverlayPlot,ElementPlotParameter Definitions
Parameters inherited from:
holoviews.plotting.plot.DimensionedPlot: fontsize, fontscale, show_title, title, normalize, projectionholoviews.plotting.plot.GenericElementPlot: apply_ranges, apply_extents, default_span, hooks, padding, show_grid, xlabel, ylabel, xlim, ylim, zlim, xrotation, yrotationholoviews.plotting.plotly.plot.PlotlyPlot: width, heightholoviews.plotting.plotly.element.ElementPlot: bgcolor, invert_axes, invert_xaxis, invert_yaxis, logx, logy, xaxis, yaxis, xticks, yticks, aspect, invert_zaxis, labelled, logz, margins, responsive, zlabel, zticksholoviews.plotting.plot.GenericOverlayPlot: show_legend, batched, legend_limit, style_grouping