#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------
''' Functions for arranging bokeh layout objects.
'''
#-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import annotations
import logging # isort:skip
log = logging.getLogger(__name__)
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
# Standard library imports
import math
from collections import defaultdict
from typing import (
TYPE_CHECKING,
Any,
Callable,
Iterable,
Iterator,
List,
Sequence,
Type,
TypeVar,
Union,
overload,
)
# Bokeh imports
from .core.enums import Location, LocationType, SizingModeType
from .models import (
Column,
CopyTool,
ExamineTool,
FlexBox,
FullscreenTool,
GridBox,
GridPlot,
LayoutDOM,
Plot,
Row,
SaveTool,
Spacer,
Tool,
Toolbar,
ToolProxy,
UIElement,
)
from .util.dataclasses import dataclass
if TYPE_CHECKING:
from typing_extensions import TypeAlias
#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------
__all__ = (
'column',
'grid',
'gridplot',
'layout',
'row',
'Spacer',
)
#-----------------------------------------------------------------------------
# General API
#-----------------------------------------------------------------------------
@overload
def row(children: list[UIElement], *, sizing_mode: SizingModeType | None = None, **kwargs: Any) -> Row: ...
@overload
def row(*children: UIElement, sizing_mode: SizingModeType | None = None, **kwargs: Any) -> Row: ...
[docs]def row(*children: UIElement | list[UIElement], sizing_mode: SizingModeType | None = None, **kwargs: Any) -> Row:
""" Create a row of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.LayoutDOM` ): A list of instances for
the row. Can be any of the following - |Plot|,
:class:`~bokeh.models.Widget`,
:class:`~bokeh.models.Row`,
:class:`~bokeh.models.Column`,
:class:`~bokeh.models.Spacer`.
sizing_mode (``"fixed"``, ``"stretch_both"``, ``"scale_width"``, ``"scale_height"``, ``"scale_both"`` ): How
will the items in the layout resize to fill the available space.
Default is ``"fixed"``. For more information on the different
modes see :attr:`~bokeh.models.LayoutDOM.sizing_mode`
description on :class:`~bokeh.models.LayoutDOM`.
Returns:
Row: A row of LayoutDOM objects all with the same sizing_mode.
Examples:
>>> row(plot1, plot2)
>>> row(children=[widgets, plot], sizing_mode='stretch_both')
"""
_children = _parse_children_arg(*children, children=kwargs.pop("children", None))
_handle_child_sizing(_children, sizing_mode, widget="row")
return Row(children=_children, sizing_mode=sizing_mode, **kwargs)
@overload
def column(children: list[UIElement], *, sizing_mode: SizingModeType | None = None, **kwargs: Any) -> Column: ...
@overload
def column(*children: UIElement, sizing_mode: SizingModeType | None = None, **kwargs: Any) -> Column: ...
[docs]def column(*children: UIElement | list[UIElement], sizing_mode: SizingModeType | None = None, **kwargs: Any) -> Column:
""" Create a column of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.LayoutDOM` ): A list of instances for
the column. Can be any of the following - |Plot|,
:class:`~bokeh.models.Widget`,
:class:`~bokeh.models.Row`,
:class:`~bokeh.models.Column`,
:class:`~bokeh.models.Spacer`.
sizing_mode (``"fixed"``, ``"stretch_both"``, ``"scale_width"``, ``"scale_height"``, ``"scale_both"`` ): How
will the items in the layout resize to fill the available space.
Default is ``"fixed"``. For more information on the different
modes see :attr:`~bokeh.models.LayoutDOM.sizing_mode`
description on :class:`~bokeh.models.LayoutDOM`.
Returns:
Column: A column of LayoutDOM objects all with the same sizing_mode.
Examples:
>>> column(plot1, plot2)
>>> column(children=[widgets, plot], sizing_mode='stretch_both')
"""
_children = _parse_children_arg(*children, children=kwargs.pop("children", None))
_handle_child_sizing(_children, sizing_mode, widget="column")
return Column(children=_children, sizing_mode=sizing_mode, **kwargs)
[docs]def layout(*args: UIElement, children: list[UIElement] | None = None, sizing_mode: SizingModeType | None = None, **kwargs: Any) -> Column:
""" Create a grid-based arrangement of Bokeh Layout objects.
Args:
children (list of lists of :class:`~bokeh.models.LayoutDOM` ): A list of lists of instances
for a grid layout. Can be any of the following - |Plot|,
:class:`~bokeh.models.Widget`,
:class:`~bokeh.models.Row`,
:class:`~bokeh.models.Column`,
:class:`~bokeh.models.Spacer`.
sizing_mode (``"fixed"``, ``"stretch_both"``, ``"scale_width"``, ``"scale_height"``, ``"scale_both"`` ): How
will the items in the layout resize to fill the available space.
Default is ``"fixed"``. For more information on the different
modes see :attr:`~bokeh.models.LayoutDOM.sizing_mode`
description on :class:`~bokeh.models.LayoutDOM`.
Returns:
Column: A column of ``Row`` layouts of the children, all with the same sizing_mode.
Examples:
>>> layout([[plot_1, plot_2], [plot_3, plot_4]])
>>> layout(
children=[
[widget_1, plot_1],
[slider],
[widget_2, plot_2, plot_3]
],
sizing_mode='fixed',
)
"""
_children = _parse_children_arg(*args, children=children)
return _create_grid(_children, sizing_mode, **kwargs)
[docs]def gridplot(
children: list[list[UIElement | None]], *,
sizing_mode: SizingModeType | None = None,
toolbar_location: LocationType | None = "above",
ncols: int | None = None,
width: int | None = None,
height: int | None = None,
toolbar_options: Any = None, # TODO
merge_tools: bool = True) -> GridPlot:
''' Create a grid of plots rendered on separate canvases.
The ``gridplot`` function builds a single toolbar for all the plots in the
grid. ``gridplot`` is designed to layout a set of plots. For general
grid layout, use the :func:`~bokeh.layouts.layout` function.
Args:
children (list of lists of |Plot|): An array of plots to display in a
grid, given as a list of lists of Plot objects. To leave a position
in the grid empty, pass None for that position in the children list.
OR list of |Plot| if called with ncols.
sizing_mode (``"fixed"``, ``"stretch_both"``, ``"scale_width"``, ``"scale_height"``, ``"scale_both"`` ): How
will the items in the layout resize to fill the available space.
Default is ``"fixed"``. For more information on the different
modes see :attr:`~bokeh.models.LayoutDOM.sizing_mode`
description on :class:`~bokeh.models.LayoutDOM`.
toolbar_location (``above``, ``below``, ``left``, ``right`` ): Where the
toolbar will be located, with respect to the grid. Default is
``above``. If set to None, no toolbar will be attached to the grid.
ncols (int, optional): Specify the number of columns you would like in your grid.
You must only pass an un-nested list of plots (as opposed to a list of lists of plots)
when using ncols.
width (int, optional): The width you would like all your plots to be
height (int, optional): The height you would like all your plots to be.
toolbar_options (dict, optional) : A dictionary of options that will be
used to construct the grid's toolbar (an instance of
:class:`~bokeh.models.Toolbar`). If none is supplied,
Toolbar's defaults will be used.
merge_tools (``True``, ``False``): Combine tools from all child plots into
a single toolbar.
Returns:
GridPlot:
Examples:
>>> gridplot([[plot_1, plot_2], [plot_3, plot_4]])
>>> gridplot([plot_1, plot_2, plot_3, plot_4], ncols=2, width=200, height=100)
>>> gridplot(
children=[[plot_1, plot_2], [None, plot_3]],
toolbar_location='right'
sizing_mode='fixed',
toolbar_options=dict(logo='gray')
)
'''
if toolbar_options is None:
toolbar_options = {}
if toolbar_location:
if not hasattr(Location, toolbar_location):
raise ValueError(f"Invalid value of toolbar_location: {toolbar_location}")
children = _parse_children_arg(children=children)
if ncols:
if any(isinstance(child, list) for child in children):
raise ValueError("Cannot provide a nested list when using ncols")
children = list(_chunks(children, ncols))
# Additional children set-up for grid plot
if not children:
children = []
# Make the grid
tools: list[Tool | ToolProxy] = []
items: list[tuple[UIElement, int, int]] = []
for y, row in enumerate(children):
for x, item in enumerate(row):
if item is None:
continue
elif isinstance(item, LayoutDOM):
if merge_tools:
for plot in item.select(dict(type=Plot)):
tools.extend(plot.toolbar.tools)
plot.toolbar_location = None
if width is not None:
item.width = width
if height is not None:
item.height = height
if sizing_mode is not None and _has_auto_sizing(item):
item.sizing_mode = sizing_mode
items.append((item, y, x))
elif isinstance(item, UIElement):
continue
else:
raise ValueError("Only UIElement and LayoutDOM items can be inserted into a grid")
def merge(cls: type[Tool], group: list[Tool]):
if issubclass(cls, (SaveTool, CopyTool, ExamineTool, FullscreenTool)):
return cls()
else:
return None
toolbar = Toolbar(tools=tools if not merge_tools else group_tools(tools, merge=merge), **toolbar_options)
return GridPlot(children=items, toolbar=toolbar, toolbar_location=toolbar_location, sizing_mode=sizing_mode)
# XXX https://github.com/python/mypy/issues/731
@overload
def grid(children: list[UIElement | list[UIElement | list[Any]]], *, sizing_mode: SizingModeType | None = ...) -> GridBox: ...
@overload
def grid(children: Row | Column, *, sizing_mode: SizingModeType | None = ...) -> GridBox: ...
@overload
def grid(children: list[UIElement | None], *, sizing_mode: SizingModeType | None = ..., nrows: int) -> GridBox: ...
@overload
def grid(children: list[UIElement | None], *, sizing_mode: SizingModeType | None = ..., ncols: int) -> GridBox: ...
@overload
def grid(children: list[UIElement | None], *, sizing_mode: SizingModeType | None = ..., nrows: int, ncols: int) -> GridBox: ...
@overload
def grid(children: str, *, sizing_mode: SizingModeType | None = ...) -> GridBox: ...
[docs]def grid(children: Any = [], sizing_mode: SizingModeType | None = None, nrows: int | None = None, ncols: int | None = None) -> GridBox:
"""
Conveniently create a grid of layoutable objects.
Grids are created by using ``GridBox`` model. This gives the most control over
the layout of a grid, but is also tedious and may result in unreadable code in
practical applications. ``grid()`` function remedies this by reducing the level
of control, but in turn providing a more convenient API.
Supported patterns:
1. Nested lists of layoutable objects. Assumes the top-level list represents
a column and alternates between rows and columns in subsequent nesting
levels. One can use ``None`` for padding purpose.
>>> grid([p1, [[p2, p3], p4]])
GridBox(children=[
(p1, 0, 0, 1, 2),
(p2, 1, 0, 1, 1),
(p3, 2, 0, 1, 1),
(p4, 1, 1, 2, 1),
])
2. Nested ``Row`` and ``Column`` instances. Similar to the first pattern, just
instead of using nested lists, it uses nested ``Row`` and ``Column`` models.
This can be much more readable that the former. Note, however, that only
models that don't have ``sizing_mode`` set are used.
>>> grid(column(p1, row(column(p2, p3), p4)))
GridBox(children=[
(p1, 0, 0, 1, 2),
(p2, 1, 0, 1, 1),
(p3, 2, 0, 1, 1),
(p4, 1, 1, 2, 1),
])
3. Flat list of layoutable objects. This requires ``nrows`` and/or ``ncols`` to
be set. The input list will be rearranged into a 2D array accordingly. One
can use ``None`` for padding purpose.
>>> grid([p1, p2, p3, p4], ncols=2)
GridBox(children=[
(p1, 0, 0, 1, 1),
(p2, 0, 1, 1, 1),
(p3, 1, 0, 1, 1),
(p4, 1, 1, 1, 1),
])
"""
@dataclass
class row:
children: list[row | col]
@dataclass
class col:
children: list[row | col]
@dataclass
class Item:
layout: LayoutDOM
r0: int
c0: int
r1: int
c1: int
@dataclass
class Grid:
nrows: int
ncols: int
items: list[Item]
def flatten(layout) -> GridBox:
def gcd(a: int, b: int) -> int:
a, b = abs(a), abs(b)
while b != 0:
a, b = b, a % b
return a
def lcm(a: int, *rest: int) -> int:
for b in rest:
a = (a*b) // gcd(a, b)
return a
def nonempty(child: Grid) -> bool:
return child.nrows != 0 and child.ncols != 0
def _flatten(layout: row | col | LayoutDOM) -> Grid:
if isinstance(layout, row):
children = list(filter(nonempty, map(_flatten, layout.children)))
if not children:
return Grid(0, 0, [])
nrows = lcm(*[ child.nrows for child in children ])
ncols = sum(child.ncols for child in children)
items: list[Item] = []
offset = 0
for child in children:
factor = nrows//child.nrows
for i in child.items:
items.append(Item(i.layout, factor*i.r0, i.c0 + offset, factor*i.r1, i.c1 + offset))
offset += child.ncols
return Grid(nrows, ncols, items)
elif isinstance(layout, col):
children = list(filter(nonempty, map(_flatten, layout.children)))
if not children:
return Grid(0, 0, [])
nrows = sum(child.nrows for child in children)
ncols = lcm(*[ child.ncols for child in children ])
items = []
offset = 0
for child in children:
factor = ncols//child.ncols
for i in child.items:
items.append(Item(i.layout, i.r0 + offset, factor*i.c0, i.r1 + offset, factor*i.c1))
offset += child.nrows
return Grid(nrows, ncols, items)
else:
return Grid(1, 1, [Item(layout, 0, 0, 1, 1)])
grid = _flatten(layout)
children = []
for i in grid.items:
if i.layout is not None:
children.append((i.layout, i.r0, i.c0, i.r1 - i.r0, i.c1 - i.c0))
return GridBox(children=children)
layout: row | col
if isinstance(children, list):
if nrows is not None or ncols is not None:
N = len(children)
if ncols is None:
ncols = math.ceil(N/nrows)
layout = col([ row(children[i:i+ncols]) for i in range(0, N, ncols) ])
else:
def traverse(children: list[LayoutDOM], level: int = 0):
if isinstance(children, list):
container = col if level % 2 == 0 else row
return container([ traverse(child, level+1) for child in children ])
else:
return children
layout = traverse(children)
elif isinstance(children, LayoutDOM):
def is_usable(child: LayoutDOM) -> bool:
return _has_auto_sizing(child) and child.spacing == 0
def traverse(item: LayoutDOM, top_level: bool = False):
if isinstance(item, FlexBox) and (top_level or is_usable(item)):
container = col if isinstance(item, Column) else row
return container(list(map(traverse, item.children)))
else:
return item
layout = traverse(children, top_level=True)
elif isinstance(children, str):
raise NotImplementedError
else:
raise ValueError("expected a list, string or model")
grid = flatten(layout)
if sizing_mode is not None:
grid.sizing_mode = sizing_mode
for child in grid.children:
layout = child[0]
if _has_auto_sizing(layout):
layout.sizing_mode = sizing_mode
return grid
#-----------------------------------------------------------------------------
# Dev API
#-----------------------------------------------------------------------------
T = TypeVar("T", bound=Tool)
MergeFn: TypeAlias = Callable[[Type[T], List[T]], Union[Tool, ToolProxy, None]]
def group_tools(tools: list[Tool | ToolProxy], *, merge: MergeFn[Tool] | None = None) -> list[Tool | ToolProxy]:
""" Group common tools into tool proxies. """
@dataclass
class ToolEntry:
tool: Tool
props: Any
by_type: defaultdict[type[Tool], list[ToolEntry]] = defaultdict(list)
computed: list[Tool | ToolProxy] = []
for tool in tools:
if isinstance(tool, ToolProxy):
computed.append(tool)
else:
props = tool.properties_with_values()
if "overlay" in props:
del props["overlay"]
by_type[tool.__class__].append(ToolEntry(tool, props))
for cls, entries in by_type.items():
if merge is not None:
merged = merge(cls, [entry.tool for entry in entries ])
if merged is not None:
computed.append(merged)
continue
while entries:
head, *tail = entries
group: list[Tool] = [head.tool]
for item in list(tail):
if item.props == head.props:
group.append(item.tool)
entries.remove(item)
entries.remove(head)
if len(group) == 1:
computed.append(group[0])
elif merge is not None and (tool := merge(cls, group)) is not None:
computed.append(tool)
else:
computed.append(ToolProxy(tools=group))
return computed
#-----------------------------------------------------------------------------
# Private API
#-----------------------------------------------------------------------------
def _has_auto_sizing(item: LayoutDOM) -> bool:
return item.sizing_mode is None and item.width_policy == "auto" and item.height_policy == "auto"
L = TypeVar("L", bound=LayoutDOM)
def _parse_children_arg(*args: L | list[L], children: list[L] | None = None) -> list[L]:
# Set-up Children from args or kwargs
if len(args) > 0 and children is not None:
raise ValueError("'children' keyword cannot be used with positional arguments")
if not children:
if len(args) == 1:
[arg] = args
if isinstance(arg, list):
return arg
return list(args)
return children
def _handle_child_sizing(children: list[UIElement], sizing_mode: SizingModeType | None, *, widget: str) -> None:
for item in children:
if isinstance(item, UIElement):
continue
if not isinstance(item, LayoutDOM):
raise ValueError(f"Only LayoutDOM items can be inserted into a {widget}. Tried to insert: {item} of type {type(item)}")
if sizing_mode is not None and _has_auto_sizing(item):
item.sizing_mode = sizing_mode
def _create_grid(iterable: Iterable[UIElement | list[UIElement]], sizing_mode: SizingModeType | None, layer: int = 0, **kwargs) -> Row | Column:
"""Recursively create grid from input lists."""
return_list: list[UIElement] = []
for item in iterable:
if isinstance(item, list):
return_list.append(_create_grid(item, sizing_mode, layer + 1))
elif isinstance(item, LayoutDOM):
if sizing_mode is not None and _has_auto_sizing(item):
item.sizing_mode = sizing_mode
return_list.append(item)
elif isinstance(item, UIElement):
return_list.append(item)
else:
raise ValueError(
"""Only LayoutDOM items can be inserted into a layout.
Tried to insert: %s of type %s""" % (item, type(item))
)
if layer % 2 == 0:
return column(children=return_list, sizing_mode=sizing_mode, **kwargs)
else:
return row(children=return_list, sizing_mode=sizing_mode, **kwargs)
I = TypeVar("I")
def _chunks(l: Sequence[I], ncols: int) -> Iterator[Sequence[I]]:
"""Yield successive n-sized chunks from list, l."""
assert isinstance(ncols, int), "ncols must be an integer"
for i in range(0, len(l), ncols):
yield l[i: i + ncols]
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------