bokeh.models.plots¶

Models for representing top-level plot objects.

class Plot(**kwargs)[source]¶

Bases: bokeh.models.layouts.LayoutDOM

Model representing a plot, containing glyphs, guides, annotations.

above¶

property type: List ( Instance ( Renderer ) )

A list of renderers to occupy the area above of the plot.

background_fill_alpha¶

property type: NumberSpec

The fill alpha for the plot background style.

background_fill_color¶

property type: ColorSpec

The fill color for the plot background style.

below¶

property type: List ( Instance ( Renderer ) )

A list of renderers to occupy the area below of the plot.

border_fill_alpha¶

property type: NumberSpec

The fill alpha for the plot border style.

border_fill_color¶

property type: ColorSpec

The fill color for the plot border style.

extra_x_ranges¶

property type: Dict ( String , Instance ( Range ) )

Additional named ranges to make available for mapping x-coordinates.

This is useful for adding additional axes.

extra_y_ranges¶

property type: Dict ( String , Instance ( Range ) )

Additional named ranges to make available for mapping y-coordinates.

This is useful for adding additional axes.

h_symmetry¶

property type: Bool

Whether the total horizontal padding on both sides of the plot will be made equal (the left or right padding amount, whichever is larger).

hidpi¶

property type: Bool

Whether to use HiDPI mode when available.

inner_height¶

property type: Int

This is the exact height of the plotting canvas, i.e. the height of the actual plot, without toolbars etc. Note this is computed in a web browser, so this property will work only in backends capable of bidirectional communication (server, notebook).

Note

This is an experimental feature and the API may change in near future.

inner_width¶

property type: Int

This is the exact width of the plotting canvas, i.e. the width of the actual plot, without toolbars etc. Note this is computed in a web browser, so this property will work only in backends capable of bidirectional communication (server, notebook).

Note

This is an experimental feature and the API may change in near future.

layout_height¶

property type: Int

This is the exact height of the layout, i.e. the height of the actual plot, with toolbars etc. Note this is computed in a web browser, so this property will work only in backends capable of bidirectional communication (server, notebook).

Note

This is an experimental feature and the API may change in near future.

layout_width¶

property type: Int

This is the exact width of the layout, i.e. the height of the actual plot, with toolbars etc. Note this is computed in a web browser, so this property will work only in backends capable of bidirectional communication (server, notebook).

Note

This is an experimental feature and the API may change in near future.

left¶

property type: List ( Instance ( Renderer ) )

A list of renderers to occupy the area to the left of the plot.

lod_factor¶

property type: Int

Decimation factor to use when applying level-of-detail decimation.

lod_interval¶

property type: Int

Interval (in ms) during which an interactive tool event will enable level-of-detail downsampling.

lod_threshold¶

property type: Int

A number of data points, above which level-of-detail downsampling may be performed by glyph renderers. Set to None to disable any level-of-detail downsampling.

lod_timeout¶

property type: Int

Timeout (in ms) for checking whether interactive tool events are still occurring. Once level-of-detail mode is enabled, a check is made every lod_timeout ms. If no interactive tool events have happened, level-of-detail mode is disabled.

min_border¶

property type: Int

A convenience property to set all all the min_border_X properties to the same value. If an individual border property is explicitly set, it will override min_border.

min_border_bottom¶

property type: Int

Minimum size in pixels of the padding region below the bottom of the central plot region.

Note

This is a minimum. The padding region may expand as needed to accommodate titles or axes, etc.

min_border_left¶

property type: Int

Minimum size in pixels of the padding region to the left of the central plot region.

Note

This is a minimum. The padding region may expand as needed to accommodate titles or axes, etc.

min_border_right¶

property type: Int

Minimum size in pixels of the padding region to the right of the central plot region.

Note

This is a minimum. The padding region may expand as needed to accommodate titles or axes, etc.

min_border_top¶

property type: Int

Minimum size in pixels of the padding region above the top of the central plot region.

Note

This is a minimum. The padding region may expand as needed to accommodate titles or axes, etc.

outline_line_alpha¶

property type: NumberSpec

The line alpha for the plot border outline.

outline_line_cap¶

property type: Enum ( LineCap )

The line cap for the plot border outline.

outline_line_color¶

property type: ColorSpec

The line color for the plot border outline.

outline_line_dash¶

property type: DashPattern

The line dash for the plot border outline.

outline_line_dash_offset¶

property type: Int

The line dash offset for the plot border outline.

outline_line_join¶

property type: Enum ( LineJoin )

The line join for the plot border outline.

outline_line_width¶

property type: NumberSpec

The line width for the plot border outline.

plot_height¶

property type: Int

Total height of the entire plot (including any axes, titles, border padding, etc.)

Note

This corresponds directly to the height of the HTML canvas that will be used.

plot_width¶

property type: Int

Total width of the entire plot (including any axes, titles, border padding, etc.)

Note

This corresponds directly to the width of the HTML canvas that will be used.

renderers¶

property type: List ( Instance ( Renderer ) )

A list of all renderers for this plot, including guides and annotations in addition to glyphs and markers.

This property can be manipulated by hand, but the add_glyph and add_layout methods are recommended to help make sure all necessary setup is performed.

right¶

property type: List ( Instance ( Renderer ) )

A list of renderers to occupy the area to the right of the plot.

title¶

property type: Instance ( Title )

A title for the plot. Can be a text string or a Title annotation.

title_location¶

property type: Enum ( Location )

Where the title will be located. Titles on the left or right side will be rotated.

tool_events¶

property type: Instance ( ToolEvents )

A ToolEvents object to share and report tool events.

toolbar¶

property type: Instance ( Toolbar )

The toolbar associated with this plot which holds all the tools.

The toolbar is automatically created with the plot.

toolbar_location¶

property type: Enum ( Location )

Where the toolbar will be located. If set to None, no toolbar will be attached to the plot.

toolbar_sticky¶

property type: Bool

Stick the toolbar to the edge of the plot. Default: True. If False, the toolbar will be outside of the axes, titles etc.

v_symmetry¶

property type: Bool

Whether the total vertical padding on both sides of the plot will be made equal (the top or bottom padding amount, whichever is larger).

webgl¶

property type: Bool

Whether WebGL is enabled for this plot. If True, the glyphs that support this will render via WebGL instead of the 2D canvas.

x_mapper_type¶

property type: Either ( Auto , String )

What kind of mapper to use to convert x-coordinates in data space into x-coordinates in screen space.

Typically this can be determined automatically, but this property can be useful to, e.g., show datetime values as floating point “seconds since epoch” instead of formatted dates.

x_range¶

property type: Instance ( Range )

The (default) data range of the horizontal dimension of the plot.

y_mapper_type¶

property type: Either ( Auto , String )

What kind of mapper to use to convert y-coordinates in data space into y-coordinates in screen space.

Typically this can be determined automatically, but this property can be useful to, e.g., show datetime values as floating point “seconds since epoch” instead of formatted dates

y_range¶

property type: Instance ( Range )

The (default) data range of the vertical dimension of the plot.

add_dynamic_image(image_source, **kw)[source]¶

Adds new DynamicImageRenderer into the Plot.renderers

Keyword Arguments:
Parameters:	image_source (ImageSource) – a image source instance which contain image configuration
	keyword arguments are passed on as-is to the dynamic image renderer (Additional) –
Returns:	DynamicImageRenderer
Return type:	DynamicImageRenderer

add_glyph(source_or_glyph, glyph=None, **kw)[source]¶

Adds a glyph to the plot with associated data sources and ranges.

This function will take care of creating and configuring a Glyph object, and then add it to the plot’s list of renderers.

Keyword Arguments:
Parameters:	source (DataSource) – a data source for the glyphs to all use glyph (Glyph) – the glyph to add to the Plot
	additional keyword arguments are passed on as-is to the (Any) – initializer. (Glyph) –
Returns:	GlyphRenderer

add_layout(obj, place='center')[source]¶

Adds an object to the plot in a specified place.

Parameters:	obj (Renderer) – the object to add to the Plot place (str, optional) – where to add the object (default: ‘center’) Valid places are: ‘left’, ‘right’, ‘above’, ‘below’, ‘center’.
Returns:	None

add_tile(tile_source, **kw)[source]¶

Adds new TileRenderer into the Plot.renderers

Keyword Arguments:
Parameters:	tile_source (TileSource) – a tile source instance which contain tileset configuration
	keyword arguments are passed on as-is to the tile renderer (Additional) –
Returns:	TileRenderer
Return type:	TileRenderer

add_tools(*tools)[source]¶

Adds tools to the plot.

Parameters:	tools (Tool*) – the tools to add to the Plot
Returns:	None

column(col, gridplot)[source]¶

Return whether this plot is in a given column of a GridPlot.

Parameters:	col (int) – index of the column to test gridplot (GridPlot) – the GridPlot to check
Returns:	bool

row(row, gridplot)[source]¶

Return whether this plot is in a given row of a GridPlot.

Parameters:	row (int) – index of the row to test gridplot (GridPlot) – the GridPlot to check
Returns:	bool

select(*args, **kwargs)[source]¶

Query this object and all of its references for objects that match the given selector.

There are a few different ways to call the select method. The most general is to supply a JSON-like query dictionary as the single argument or as keyword arguments:

Keyword Arguments:
Parameters:	selector (JSON-like) – some sample text
	kwargs – query dict key/values as keyword arguments

For convenience, queries on just names can be made by supplying the name string as the single parameter:

Parameters:	name (str) – the name to query on

Also queries on just type can be made simply by supplying the Model subclass as the single parameter:

Parameters:	type (Model) – the type to query on
Returns:	seq[Model]

Examples

# These two are equivalent
p.select({"type": HoverTool})
p.select(HoverTool)

# These two are also equivalent
p.select({"name": "mycircle"})
p.select("mycircle")

# Keyword arguments can be supplied in place of selector dict
p.select({"name": "foo", "type": HoverTool})
p.select(name="foo", type=HoverTool)

axis¶: Splattable list of Axis objects.

grid¶: Splattable list of Grid objects.

legend¶: Splattable list of Legend objects.

tools¶

xaxis¶: Splattable list of Axis objects for the x dimension.

xgrid¶: Splattable list of Grid objects for the x dimension.

yaxis¶: Splattable list of Axis objects for the y dimension.

ygrid¶: Splattable list of Grid objects for the y dimension.

JSON Prototype

{
  "above": [],
  "background_fill_alpha": {
    "value": 1.0
  },
  "background_fill_color": {
    "value": "#ffffff"
  },
  "below": [],
  "border_fill_alpha": {
    "value": 1.0
  },
  "border_fill_color": {
    "value": "#ffffff"
  },
  "css_classes": null,
  "disabled": false,
  "extra_x_ranges": {},
  "extra_y_ranges": {},
  "h_symmetry": true,
  "height": null,
  "hidpi": true,
  "id": "bf58ecb5-89c8-45bb-8add-fc9817d470e9",
  "js_event_callbacks": {},
  "js_property_callbacks": {},
  "left": [],
  "lod_factor": 10,
  "lod_interval": 300,
  "lod_threshold": 2000,
  "lod_timeout": 500,
  "min_border": 5,
  "min_border_bottom": null,
  "min_border_left": null,
  "min_border_right": null,
  "min_border_top": null,
  "name": null,
  "outline_line_alpha": {
    "value": 1.0
  },
  "outline_line_cap": "butt",
  "outline_line_color": {
    "value": "#e5e5e5"
  },
  "outline_line_dash": [],
  "outline_line_dash_offset": 0,
  "outline_line_join": "miter",
  "outline_line_width": {
    "value": 1
  },
  "plot_height": 600,
  "plot_width": 600,
  "renderers": [],
  "right": [],
  "sizing_mode": "fixed",
  "subscribed_events": [],
  "tags": [],
  "title": {
    "id": "b2a4a0c8-0078-4932-b184-e85ca47eeace",
    "type": "Title"
  },
  "title_location": "above",
  "tool_events": {
    "id": "d321f3f1-a420-4db1-845f-d8f8c1f3d52a",
    "type": "ToolEvents"
  },
  "toolbar": {
    "id": "de93da94-63e0-405f-9273-84ea851a17ed",
    "type": "Toolbar"
  },
  "toolbar_location": "right",
  "toolbar_sticky": true,
  "v_symmetry": false,
  "webgl": false,
  "width": null,
  "x_mapper_type": "auto",
  "x_range": null,
  "y_mapper_type": "auto",
  "y_range": null
}