Source code for bokeh.layouts

#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2019, 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 absolute_import, division, print_function, unicode_literals

import logging
log = logging.getLogger(__name__)

#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------

# Standard library imports
import math
from collections import namedtuple

# External imports
from six import string_types

# Bokeh imports
from .core.enums import Location
from .models.tools import ProxyToolbar, ToolbarBox
from .models.plots import Plot
from .models.layouts import LayoutDOM, Box, Row, Column, GridBox, Spacer, WidgetBox

#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------

__all__ = (
    'column',
    'grid',
    'gridplot',
    'GridSpec',
    'layout',
    'row',
    'Spacer',
    'widgetbox',
)

#-----------------------------------------------------------------------------
# General API
#-----------------------------------------------------------------------------

[docs]def row(*args, **kwargs): """ 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.layouts.LayoutDOM` ): A list of instances for the row. Can be any of the following - :class:`~bokeh.models.plots.Plot`, :class:`~bokeh.models.widgets.widget.Widget`, :class:`~bokeh.models.layouts.Row`, :class:`~bokeh.models.layouts.Column`, :class:`~bokeh.models.tools.ToolbarBox`, :class:`~bokeh.models.layouts.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.layouts.LayoutDOM.sizing_mode` description on :class:`~bokeh.models.layouts.LayoutDOM`. Returns: Row: A row of LayoutDOM objects all with the same sizing_mode. Examples: >>> row([plot_1, plot_2]) >>> row(children=[widget_box_1, plot_1], sizing_mode='stretch_both') """ sizing_mode = kwargs.pop('sizing_mode', None) children = kwargs.pop('children', None) children = _handle_children(*args, children=children) row_children = [] for item in children: if isinstance(item, LayoutDOM): if sizing_mode is not None and _has_auto_sizing(item): item.sizing_mode = sizing_mode row_children.append(item) else: raise ValueError("""Only LayoutDOM items can be inserted into a row. Tried to insert: %s of type %s""" % (item, type(item))) return Row(children=row_children, sizing_mode=sizing_mode, **kwargs)
[docs]def column(*args, **kwargs): """ 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.layouts.LayoutDOM` ): A list of instances for the column. Can be any of the following - :class:`~bokeh.models.plots.Plot`, :class:`~bokeh.models.widgets.widget.Widget`, :class:`~bokeh.models.layouts.Row`, :class:`~bokeh.models.layouts.Column`, :class:`~bokeh.models.tools.ToolbarBox`, :class:`~bokeh.models.layouts.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.layouts.LayoutDOM.sizing_mode` description on :class:`~bokeh.models.layouts.LayoutDOM`. Returns: Column: A column of LayoutDOM objects all with the same sizing_mode. Examples: >>> column([plot_1, plot_2]) >>> column(children=[widget_1, plot_1], sizing_mode='stretch_both') """ sizing_mode = kwargs.pop('sizing_mode', None) children = kwargs.pop('children', None) children = _handle_children(*args, children=children) col_children = [] for item in children: if isinstance(item, LayoutDOM): if sizing_mode is not None and _has_auto_sizing(item): item.sizing_mode = sizing_mode col_children.append(item) else: raise ValueError("""Only LayoutDOM items can be inserted into a column. Tried to insert: %s of type %s""" % (item, type(item))) return Column(children=col_children, sizing_mode=sizing_mode, **kwargs)
[docs]def widgetbox(*args, **kwargs): """ Create a column of bokeh widgets with predefined styling. Args: children (list of :class:`~bokeh.models.widgets.widget.Widget`): A list of widgets. 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.layouts.LayoutDOM.sizing_mode` description on :class:`~bokeh.models.layouts.LayoutDOM`. Returns: WidgetBox: A column layout of widget instances all with the same ``sizing_mode``. Examples: >>> widgetbox([button, select]) >>> widgetbox(children=[slider], sizing_mode='scale_width') """ sizing_mode = kwargs.pop('sizing_mode', None) children = kwargs.pop('children', None) children = _handle_children(*args, children=children) col_children = [] for item in children: if isinstance(item, LayoutDOM): if sizing_mode is not None and _has_auto_sizing(item): item.sizing_mode = sizing_mode col_children.append(item) else: raise ValueError("""Only LayoutDOM items can be inserted into a widget box. Tried to insert: %s of type %s""" % (item, type(item))) return WidgetBox(children=col_children, sizing_mode=sizing_mode, **kwargs)
[docs]def layout(*args, **kwargs): """ Create a grid-based arrangement of Bokeh Layout objects. Args: children (list of lists of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of lists of instances for a grid layout. Can be any of the following - :class:`~bokeh.models.plots.Plot`, :class:`~bokeh.models.widgets.widget.Widget`, :class:`~bokeh.models.layouts.Row`, :class:`~bokeh.models.layouts.Column`, :class:`~bokeh.models.tools.ToolbarBox`, :class:`~bokeh.models.layouts.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.layouts.LayoutDOM.sizing_mode` description on :class:`~bokeh.models.layouts.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', ) """ sizing_mode = kwargs.pop('sizing_mode', None) children = kwargs.pop('children', None) children = _handle_children(*args, children=children) # Make the grid return _create_grid(children, sizing_mode, **kwargs)
[docs]def gridplot(children, sizing_mode=None, toolbar_location='above', ncols=None, plot_width=None, plot_height=None, toolbar_options=None, merge_tools=True): ''' 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 :class:`~bokeh.models.plots.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 :class:`~bokeh.models.plots.Plot` if called with ncols. OR an instance of GridSpec. 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.layouts.LayoutDOM.sizing_mode` description on :class:`~bokeh.models.layouts.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. plot_width (int, optional): The width you would like all your plots to be plot_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.tools.ToolbarBox`). If none is supplied, ToolbarBox's defaults will be used. merge_tools (``True``, ``False``): Combine tools from all child plots into a single toolbar. Returns: Row or Column: A row or column containing the grid toolbar and the grid of plots (depending on whether the toolbar is left/right or above/below. The grid is always a Column of Rows of plots. Examples: >>> gridplot([[plot_1, plot_2], [plot_3, plot_4]]) >>> gridplot([plot_1, plot_2, plot_3, plot_4], ncols=2, plot_width=200, plot_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("Invalid value of toolbar_location: %s" % toolbar_location) children = _handle_children(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 = [] items = [] 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 += plot.toolbar.tools plot.toolbar_location = None if isinstance(item, Plot): if plot_width is not None: item.plot_width = plot_width if plot_height is not None: item.plot_height = plot_height if sizing_mode is not None and _has_auto_sizing(item): item.sizing_mode = sizing_mode items.append((item, y, x)) else: raise ValueError("Only LayoutDOM items can be inserted into a grid") if not merge_tools or not toolbar_location: return GridBox(children=items, sizing_mode=sizing_mode) grid = GridBox(children=items) proxy = ProxyToolbar(tools=tools, **toolbar_options) toolbar = ToolbarBox(toolbar=proxy, toolbar_location=toolbar_location) if toolbar_location == 'above': return Column(children=[toolbar, grid], sizing_mode=sizing_mode) elif toolbar_location == 'below': return Column(children=[grid, toolbar], sizing_mode=sizing_mode) elif toolbar_location == 'left': return Row(children=[toolbar, grid], sizing_mode=sizing_mode) elif toolbar_location == 'right': return Row(children=[grid, toolbar], sizing_mode=sizing_mode)
[docs]def grid(children=[], sizing_mode=None, nrows=None, ncols=None): """ 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), ]) """ row = namedtuple("row", ["children"]) col = namedtuple("col", ["children"]) def flatten(layout): Item = namedtuple("Item", ["layout", "r0", "c0", "r1", "c1"]) Grid = namedtuple("Grid", ["nrows", "ncols", "items"]) def gcd(a, b): a, b = abs(a), abs(b) while b != 0: a, b = b, a % b return a def lcm(a, *rest): for b in rest: a = (a*b) // gcd(a, b) return a nonempty = lambda child: child.nrows != 0 and child.ncols != 0 def _flatten(layout): 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 = [] offset = 0 for child in children: factor = nrows//child.nrows for (layout, r0, c0, r1, c1) in child.items: items.append((layout, factor*r0, c0 + offset, factor*r1, 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 (layout, r0, c0, r1, c1) in child.items: items.append((layout, r0 + offset, factor*c0, r1 + offset, factor*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 (layout, r0, c0, r1, c1) in grid.items: if layout is not None: children.append((layout, r0, c0, r1 - r0, c1 - c0)) return GridBox(children=children) 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, level=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): return _has_auto_sizing(child) and child.spacing == 0 def traverse(item, top_level=False): if isinstance(item, Box) 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, string_types): 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 #-----------------------------------------------------------------------------
[docs]class GridSpec(object): """ Simplifies grid layout specification. """ def __init__(self, nrows, ncols): self.nrows = nrows self.ncols = ncols self._arrangement = {} def __setitem__(self, key, obj): k1, k2 = key if isinstance(k1, slice): row1, row2, _ = k1.indices(self.nrows) else: if k1 < 0: k1 += self.nrows if k1 >= self.nrows or k1 < 0: raise IndexError("index out of range") row1, row2 = k1, None if isinstance(k2, slice): col1, col2, _ = k2.indices(self.ncols) else: if k2 < 0: k2 += self.ncols if k2 >= self.ncols or k2 < 0: raise IndexError("index out of range") col1, col2 = k2, None # gs[row, col] = obj # gs[row1:row2, col] = [...] # gs[row, col1:col2] = [...] # gs[row1:row2, col1:col2] = [[...], ...] def get_or_else(fn, default): try: return fn() except IndexError: return default if row2 is None and col2 is None: self._arrangement[row1, col1] = obj elif row2 is None: for col in range(col1, col2): self._arrangement[row1, col] = get_or_else(lambda: obj[col-col1], None) elif col2 is None: for row in range(row1, row2): self._arrangement[row, col1] = get_or_else(lambda: obj[row-row1], None) else: for row, col in zip(range(row1, row2), range(col1, col2)): self._arrangement[row, col] = get_or_else(lambda: obj[row-row1][col-col1], None) def __iter__(self): array = [ [ None ]*self.ncols for _ in range(0, self.nrows) ] for (row, col), obj in self._arrangement.items(): array[row][col] = obj return iter(array)
#----------------------------------------------------------------------------- # Private API #----------------------------------------------------------------------------- def _has_auto_sizing(item): return item.sizing_mode is None and item.width_policy == "auto" and item.height_policy == "auto" def _handle_children(*args, **kwargs): children = kwargs.get('children') # 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 and isinstance(args[0], list): children = args[0] elif len(args) == 1 and isinstance(args[0], GridSpec): children = args[0] else: children = list(args) return children def _create_grid(iterable, sizing_mode, layer=0, **kwargs): """Recursively create grid from input lists.""" return_list = [] 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) 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) return row(children=return_list, sizing_mode=sizing_mode, **kwargs) def _chunks(l, ncols): """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 #-----------------------------------------------------------------------------