Source code for holoviews.core.layout

Supplies Pane, Layout, NdLayout and AdjointLayout. Pane extends View
to allow multiple Views to be presented side-by-side in a NdLayout. An
AdjointLayout allows one or two Views to be adjoined to a primary View
to act as supplementary elements.

from functools import reduce
from itertools import chain
from collections import defaultdict, Counter

import numpy as np

import param

from .dimension import Dimension, Dimensioned, ViewableElement
from .ndmapping import OrderedDict, NdMapping, UniformNdMapping
from .tree import AttrTree
from .util import (unique_array, get_path, make_path_unique, int_to_roman)
from . import traversal

class Composable(object):
    Composable is a mix-in class to allow Dimensioned object to be
    embedded within Layouts and GridSpaces.

    def __add__(self, obj):
        return Layout.from_values([self, obj])

    def __lshift__(self, other):
        if isinstance(other, (ViewableElement, NdMapping, Empty)):
            return AdjointLayout([self, other])
        elif isinstance(other, AdjointLayout):
            return AdjointLayout([self])
            raise TypeError('Cannot append {0} to a AdjointLayout'.format(type(other).__name__))

[docs]class Empty(Dimensioned, Composable): """ Empty may be used to define an empty placeholder in a Layout. It can be placed in a Layout just like any regular Element and container type via the + operator or by passing it to the Layout constructor as a part of a list. """ group = param.String(default='Empty') def __init__(self): super(Empty, self).__init__(None)
[docs]class AdjointLayout(Dimensioned): """ A AdjointLayout provides a convenient container to lay out a primary plot with some additional supplemental plots, e.g. an image in a Image annotated with a luminance histogram. AdjointLayout accepts a list of three ViewableElement elements, which are laid out as follows with the names 'main', 'top' and 'right': ___________ __ |____ 3_____|__| | | | 1: main | | | 2: right | 1 |2 | 3: top | | | |___________|__| """ kdims = param.List(default=[Dimension('AdjointLayout')], constant=True) layout_order = ['main', 'right', 'top'] _deep_indexable = True _auxiliary_component = False def __init__(self, data, **params): self.main_layer = 0 # The index of the main layer if .main is an overlay if data and len(data) > 3: raise Exception('AdjointLayout accepts no more than three elements.') if data is not None and all(isinstance(v, tuple) for v in data): data = dict(data) if isinstance(data, dict): wrong_pos = [k for k in data if k not in self.layout_order] if wrong_pos: raise Exception('Wrong AdjointLayout positions provided.') elif isinstance(data, list): data = dict(zip(self.layout_order, data)) else: data = OrderedDict() super(AdjointLayout, self).__init__(data, **params) def __mul__(self, other, reverse=False): layer1 = other if reverse else self layer2 = self if reverse else other adjoined_items = [] if isinstance(layer1, AdjointLayout) and isinstance(layer2, AdjointLayout): adjoined_items = [] adjoined_items.append(layer1.main*layer2.main) if layer1.right is not None and layer2.right is not None: if layer1.right.dimensions() == layer2.right.dimensions(): adjoined_items.append(layer1.right*layer2.right) else: adjoined_items += [layer1.right, layer2.right] elif layer1.right is not None: adjoined_items.append(layer1.right) elif layer2.right is not None: adjoined_items.append(layer2.right) if is not None and is not None: if == adjoined_items.append(* else: adjoined_items += [,] elif is not None: adjoined_items.append( elif is not None: adjoined_items.append( if len(adjoined_items) > 3: raise ValueError("AdjointLayouts could not be overlaid, " "the dimensions of the adjoined plots " "do not match and the AdjointLayout can " "hold no more than two adjoined plots.") elif isinstance(layer1, AdjointLayout): adjoined_items = [[o] for o in self.layout_order if o in] adjoined_items[0] = layer1.main * layer2 elif isinstance(layer2, AdjointLayout): adjoined_items = [[o] for o in self.layout_order if o in] adjoined_items[0] = layer1 * layer2.main if adjoined_items: return self.clone(adjoined_items) else: return NotImplemented def __rmul__(self, other): return self.__mul__(other, reverse=True) @property def group(self): if self.main and != type(self.main).__name__: return else: return 'AdjointLayout' @property def label(self): return self.main.label if self.main else '' # Both group and label need empty setters due to param inheritance @group.setter def group(self, group): pass @label.setter def label(self, label): pass def relabel(self, label=None, group=None, depth=1): # Identical to standard relabel method except for default depth of 1 return super(AdjointLayout, self).relabel(label=label, group=group, depth=depth) def get(self, key, default=None): return[key] if key in else default def dimension_values(self, dimension, expanded=True, flat=True): dimension = self.get_dimension(dimension, strict=True).name return self.main.dimension_values(dimension, expanded, flat) def __getitem__(self, key): if key is (): return self data_slice = None if isinstance(key, tuple): data_slice = key[1:] key = key[0] if isinstance(key, int) and key <= len(self): if key == 0: data = self.main if key == 1: data = self.right if key == 2: data = if data_slice: data = data[data_slice] return data elif isinstance(key, str) and key in if data_slice is None: return[key] else:[key][data_slice] elif isinstance(key, slice) and key.start is None and key.stop is None: return self if data_slice is None else self.clone([el[data_slice] for el in self]) else: raise KeyError("Key {0} not found in AdjointLayout.".format(key)) def __setitem__(self, key, value): if key in ['main', 'right', 'top']: if isinstance(value, (ViewableElement, UniformNdMapping, Empty)):[key] = value else: raise ValueError('AdjointLayout only accepts Element types.') else: raise Exception('Position %s not valid in AdjointLayout.' % key) def __lshift__(self, other): views = [, None) for k in self.layout_order] return AdjointLayout([v for v in views if v is not None] + [other]) @property def ddims(self): return self.main.dimensions() @property def main(self): return'main', None) @property def right(self): return'right', None) @property def top(self): return'top', None) @property def last(self): items = [(k, v.last) if isinstance(v, NdMapping) else (k, v) for k, v in] return self.__class__(dict(items)) def keys(self): return list( def items(self): return list( def __iter__(self): i = 0 while i < len(self): yield self[i] i += 1 def __add__(self, obj): return Layout.from_values([self, obj]) def __len__(self): return len(
[docs]class NdLayout(UniformNdMapping): """ NdLayout is a UniformNdMapping providing an n-dimensional data structure to display the contained Elements and containers in a layout. Using the cols method the NdLayout can be rearranged with the desired number of columns. """ data_type = (ViewableElement, AdjointLayout, UniformNdMapping) def __init__(self, initial_items=None, kdims=None, **params): self._max_cols = 4 self._style = None super(NdLayout, self).__init__(initial_items=initial_items, kdims=kdims, **params) @property def uniform(self): return traversal.uniform(self) @property def shape(self): num = len(self.keys()) if num <= self._max_cols: return (1, num) nrows = num // self._max_cols last_row_cols = num % self._max_cols return nrows+(1 if last_row_cols else 0), min(num, self._max_cols)
[docs] def grid_items(self): """ Compute a dict of {(row,column): (key, value)} elements from the current set of items and specified number of columns. """ if list(self.keys()) == []: return {} cols = self._max_cols return {(idx // cols, idx % cols): (key, item) for idx, (key, item) in enumerate(}
def cols(self, n): self._max_cols = n return self def __add__(self, obj): return Layout.from_values([self, obj]) @property def last(self): """ Returns another NdLayout constituted of the last views of the individual elements (if they are maps). """ last_items = [] for (k, v) in self.items(): if isinstance(v, NdMapping): item = (k, v.clone((v.last_key, v.last))) elif isinstance(v, AdjointLayout): item = (k, v.last) else: item = (k, v) last_items.append(item) return self.clone(last_items)
[docs] def clone(self, *args, **overrides): """ Clone method for NdLayout matches Dimensioned.clone except the display mode is also propagated. """ clone = super(NdLayout, self).clone(*args, **overrides) clone._max_cols = self._max_cols = return clone
# To be removed after 1.3.0 class Warning(param.Parameterized): pass collate_deprecation = Warning(name='Deprecation Warning')
[docs]class Layout(AttrTree, Dimensioned): """ A Layout is an AttrTree with ViewableElement objects as leaf values. Unlike AttrTree, a Layout supports a rich display, displaying leaf items in a grid style layout. In addition to the usual AttrTree indexing, Layout supports indexing of items by their row and column index in the layout. The maximum number of columns in such a layout may be controlled with the cols method. """ group = param.String(default='Layout', constant=True) _deep_indexable = True def __init__(self, items=None, identifier=None, parent=None, **kwargs): self.__dict__['_max_cols'] = 4 if items and all(isinstance(item, Dimensioned) for item in items): items = self._process_items(items) params = {p: kwargs.pop(p) for p in list(self.params().keys())+['id', 'plot_id'] if p in kwargs} AttrTree.__init__(self, items, identifier, parent, **kwargs) Dimensioned.__init__(self,, **params)
[docs] @classmethod def from_values(cls, vals): """ Returns a Layout given a list (or tuple) of viewable elements or just a single viewable element. """ return cls(items=cls._process_items(vals))
@classmethod def _process_items(cls, vals): """ Processes a list of Labelled types unpacking any objects of the same type (e.g. a Layout) and finding unique paths for all the items in the list. """ if type(vals) is cls: return elif not isinstance(vals, (list, tuple)): vals = [vals] items = [] counts = defaultdict(lambda: 1) cls._unpack_paths(vals, items, counts) items = cls._deduplicate_items(items) return items @classmethod def _deduplicate_items(cls, items): """ Iterates over the paths a second time and ensures that partial paths are not overlapping. """ counter = Counter([path[:i] for path, _ in items for i in range(1, len(path)+1)]) if sum(counter.values()) == len(counter): return items new_items = [] counts = defaultdict(lambda: 0) for i, (path, item) in enumerate(items): if counter[path] > 1: path = path + (int_to_roman(counts[path]+1),) elif counts[path]: path = path[:-1] + (int_to_roman(counts[path]+1),) new_items.append((path, item)) counts[path] += 1 return new_items @classmethod def _unpack_paths(cls, objs, items, counts): """ Recursively unpacks lists and Layout-like objects, accumulating into the supplied list of items. """ if type(objs) is cls: objs = objs.items() for item in objs: path, obj = item if isinstance(item, tuple) else (None, item) if type(obj) is cls: cls._unpack_paths(obj, items, counts) continue new = path is None or len(path) == 1 path = get_path(item) if new else path new_path = make_path_unique(path, counts, new) items.append((new_path, obj)) @property def uniform(self): return traversal.uniform(self) @property def shape(self): num = len(self) if num <= self._max_cols: return (1, num) nrows = num // self._max_cols last_row_cols = num % self._max_cols return nrows+(1 if last_row_cols else 0), min(num, self._max_cols) def relabel(self, label=None, group=None, depth=0): # Standard relabel method except _max_cols and _display transferred relabelled = super(Layout, self).relabel(label=label, group=group, depth=depth) relabelled.__dict__['_max_cols'] = self.__dict__['_max_cols'] return relabelled
[docs] def clone(self, *args, **overrides): """ Clone method for Layout matches Dimensioned.clone except the display mode is also propagated. """ clone = super(Layout, self).clone(*args, **overrides) clone._max_cols = self._max_cols = return clone
[docs] def dimension_values(self, dimension, expanded=True, flat=True): "Returns the values along the specified dimension." dimension = self.get_dimension(dimension, strict=True).name all_dims = self.traverse(lambda x: [ for d in x.dimensions()]) if dimension in chain.from_iterable(all_dims): values = [el.dimension_values(dimension) for el in self if dimension in el.dimensions(label=True)] vals = np.concatenate(values) return vals if expanded else unique_array(vals) else: return super(Layout, self).dimension_values(dimension, expanded, flat)
def cols(self, ncols): self._max_cols = ncols return self
[docs] def display(self, option): "Sets the display policy of the Layout before returning self" self.warning('Layout display option is deprecated and no longer needs to be used') return self
def select(self, selection_specs=None, **selections): return super(Layout, self).select(selection_specs, **selections) def grid_items(self): return {tuple(np.unravel_index(idx, self.shape)): (path, item) for idx, (path, item) in enumerate(self.items())}
[docs] def regroup(self, group): """ Assign a new group string to all the elements and return a new Layout. """ new_items = [el.relabel(group=group) for el in] return reduce(lambda x,y: x+y, new_items)
def __getitem__(self, key): if isinstance(key, int): if key < len(self): return list([key] raise KeyError("Element out of range.") elif isinstance(key, slice): raise KeyError("A Layout may not be sliced, ensure that you " "are slicing on a leaf (i.e. not a branch) of the Layout.") if len(key) == 2 and not any([isinstance(k, str) for k in key]): if key == (slice(None), slice(None)): return self row, col = key idx = row * self._max_cols + col keys = list( if idx >= len(keys) or col >= self._max_cols: raise KeyError('Index %s is outside available item range' % str(key)) key = keys[idx] return super(Layout, self).__getitem__(key) def __len__(self): return len( def __add__(self, other): return Layout.from_values([self, other])
__all__ = list(set([_k for _k, _v in locals().items() if isinstance(_v, type) and (issubclass(_v, Dimensioned) or issubclass(_v, Layout))]))