Source code for holoviews.plotting.mpl.plot

from contextlib import contextmanager
from itertools import chain

import matplotlib as mpl
import numpy as np
import param
from matplotlib import (
    pyplot as plt,
from matplotlib.font_manager import font_scalings
from mpl_toolkits.mplot3d import Axes3D  # noqa (For 3D plots)

from ...core import (
from ...core.options import SkipRendering, Store
from ...core.util import int_to_alpha, int_to_roman, wrap_tuple_streams
from ..plot import (
from ..util import attach_streams, collate, displayable
from .util import compute_ratios, fix_aspect, get_old_rcparams

def _rc_context(rcparams):
    Context manager that temporarily overrides the pyplot rcParams.
    old_rcparams = get_old_rcparams()
    mpl.rcParams.update(dict(old_rcparams, **rcparams))

[docs]def mpl_rc_context(f): """ Decorator for MPLPlot methods applying the matplotlib rc params in the plots fig_rcparams while when method is called. """ def wrapper(self, *args, **kwargs): with _rc_context(self.fig_rcparams): return f(self, *args, **kwargs) return wrapper
[docs]class MPLPlot(DimensionedPlot): """ An MPLPlot object draws a matplotlib figure object when called or indexed but can also return a matplotlib animation object as appropriate. MPLPlots take element objects such as Image, Contours or Points as inputs and plots them in the appropriate format using matplotlib. As HoloMaps are supported, all plots support animation via the anim() method. """ backend = 'matplotlib' sideplots = {} backend_opts = param.Dict(default={}, doc=""" A dictionary of custom options to apply to the plot or subcomponents of the plot. The keys in the dictionary mirror attribute access on the underlying models stored in the plot's handles, e.g. {'colorbar.margin': 10} will index the colorbar in the Plot.handles and then set the margin to 10.""") fig_alpha = param.Number(default=1.0, bounds=(0, 1), doc=""" Alpha of the overall figure background.""") fig_bounds = param.NumericTuple(default=(0.15, 0.15, 0.85, 0.85), doc=""" The bounds of the overall figure as a 4-tuple of the form (left, bottom, right, top), defining the size of the border around the subplots.""") fig_inches = param.Parameter(default=4, doc=""" The overall matplotlib figure size in inches. May be set as an integer in which case it will be used to autocompute a size. Alternatively may be set with an explicit tuple or list, in which case it will be applied directly after being scaled by fig_size. If either the width or height is set to None, it will be computed automatically.""") fig_latex = param.Boolean(default=False, doc=""" Whether to use LaTeX text in the overall figure.""") fig_rcparams = param.Dict(default={}, doc=""" matplotlib rc parameters to apply to the overall figure.""") fig_size = param.Number(default=100., bounds=(1, None), doc=""" Size relative to the supplied overall fig_inches in percent.""") initial_hooks = param.HookList(default=[], doc=""" Optional list of hooks called before plotting the data onto the axis (now marked for deprecation). The hook is passed the plot object and the displayed object; other plotting handles can be accessed via plot.handles.""") sublabel_format = param.String(default=None, allow_None=True, doc=""" Allows labeling the subaxes in each plot with various formatters including {Alpha}, {alpha}, {numeric} and {roman}.""") sublabel_position = param.NumericTuple(default=(-0.35, 0.85), doc=""" Position relative to the plot for placing the optional subfigure label.""") sublabel_size = param.Number(default=18, doc=""" Size of optional subfigure label.""") projection = param.Parameter(default=None, doc=""" The projection of the plot axis, default of None is equivalent to 2D plot, '3d' and 'polar' are also supported by matplotlib by default. May also supply a custom projection that is either a matplotlib projection type or implements the `_as_mpl_axes` method.""") show_frame = param.Boolean(default=False, doc=""" Whether or not to show a complete frame around the plot.""") _close_figures = True def __init__(self, fig=None, axis=None, **params): self._create_fig = True super().__init__(**params) # List of handles to matplotlib objects for animation update self.fig_scale = self.fig_size/100. if isinstance(self.fig_inches, (tuple, list)): self.fig_inches = [None if i is None else i*self.fig_scale for i in self.fig_inches] else: self.fig_inches *= self.fig_scale if self.fig_latex: self.fig_rcparams['text.usetex'] = True if self.renderer.interactive: plt.ion() self._close_figures = False elif not self.renderer.notebook_context: plt.ioff() fig, axis = self._init_axis(fig, axis) self.handles['fig'] = fig self.handles['axis'] = axis self.handles['bbox_extra_artists'] = [] @mpl_rc_context def _init_axis(self, fig, axis): """ Return an axis which may need to be initialized from a new figure. """ if not fig and self._create_fig: fig = plt.figure() l, b, r, t = self.fig_bounds inches = self.fig_inches fig.subplots_adjust(left=l, bottom=b, right=r, top=t) fig.patch.set_alpha(self.fig_alpha) if isinstance(inches, (tuple, list)): inches = list(inches) if inches[0] is None: inches[0] = inches[1] elif inches[1] is None: inches[1] = inches[0] fig.set_size_inches(list(inches)) else: fig.set_size_inches([inches, inches]) axis = fig.add_subplot(111, projection=self.projection) axis.set_aspect('auto') return fig, axis def _get_fontsize_defaults(self): base = rcParams['font.size'] sizes = { "label": rcParams['axes.labelsize'], "title": rcParams['axes.titlesize'], "xticks": rcParams['xtick.labelsize'], "yticks": rcParams['ytick.labelsize'], "legend": rcParams['legend.fontsize'], } scaled = dict(sizes) for k, v in sizes.items(): if isinstance(v, str): scaled[k] = base * font_scalings[v] scaled['ticks'] = scaled['xticks'] return scaled def _subplot_label(self, axis): layout_num = self.layout_num if self.subplot else 1 if self.sublabel_format and not self.adjoined and layout_num > 0: from matplotlib.offsetbox import AnchoredText labels = {} if '{Alpha}' in self.sublabel_format: labels['Alpha'] = int_to_alpha(layout_num-1) elif '{alpha}' in self.sublabel_format: labels['alpha'] = int_to_alpha(layout_num-1, upper=False) elif '{numeric}' in self.sublabel_format: labels['numeric'] = self.layout_num elif '{Roman}' in self.sublabel_format: labels['Roman'] = int_to_roman(layout_num) elif '{roman}' in self.sublabel_format: labels['roman'] = int_to_roman(layout_num).lower() at = AnchoredText(self.sublabel_format.format(**labels), loc=3, bbox_to_anchor=self.sublabel_position, frameon=False, prop=dict(size=self.sublabel_size, weight='bold'), bbox_transform=axis.transAxes) at.patch.set_visible(False) axis.add_artist(at) sublabel = at.txt.get_children()[0] self.handles['sublabel'] = sublabel self.handles['bbox_extra_artists'] += [sublabel] def _finalize_axis(self, key): """ General method to finalize the axis and plot. """ if 'title' in self.handles: self.handles['title'].set_visible(self.show_title) self.drawn = True if self.subplot: return self.handles['axis'] else: fig = self.handles['fig'] if not getattr(self, 'overlaid', False) and self._close_figures: plt.close(fig) return fig @property def state(self): return self.handles['fig']
[docs] def anim(self, start=0, stop=None, fps=30): """ Method to return a matplotlib animation. The start and stop frames may be specified as well as the fps. """ figure = self.state or self.initialize_plot() anim = animation.FuncAnimation(figure, self.update_frame, frames=self.keys, interval = 1000.0/fps) # Close the figure handle if self._close_figures: plt.close(figure) return anim
[docs] def update(self, key): if len(self) == 1 and key in (0, self.keys[0]) and not self.drawn: return self.initialize_plot() return self.__getitem__(key)
[docs]class CompositePlot(GenericCompositePlot, MPLPlot): """ CompositePlot provides a baseclass for plots coordinate multiple subplots to form a Layout. """ shared_axes = param.Boolean(default=True, doc=""" Whether axes ranges should be shared across the layout, if disabled switches axiswise normalization option on globally.""") def _link_dimensioned_streams(self): """ Should perform any linking required to update titles when dimensioned streams change. """ streams = [s for s in self.streams if any(k in self.dimensions for k in s.contents)] for s in streams: s.add_subscriber(self._stream_update, 1) def _stream_update(self, **kwargs): contents = [k for s in self.streams for k in s.contents] key = tuple(None if d in contents else k for d, k in zip(self.dimensions, self.current_key)) key = wrap_tuple_streams(key, self.dimensions, self.streams) self._update_title(key) def _update_title(self, key): title = self._format_title(key) if self.show_title else '' if 'title' in self.handles: self.handles['title'].set_text(title) elif 'axis' in self.handles and self.handles['axis'].figure is not None: title = self.handles['axis'].set_title(title, **self._fontsize('title')) self.handles['title'] = title @mpl_rc_context def update_frame(self, key, ranges=None): ranges = self.compute_ranges(self.layout, key, ranges) for subplot in self.subplots.values(): subplot.update_frame(key, ranges=ranges) self._update_title(key)
[docs]class GridPlot(CompositePlot): """ Plot a group of elements in a grid layout based on a GridSpace element object. """ aspect = param.Parameter(default='equal', doc=""" Aspect ratios on GridPlot should be automatically determined.""") padding = param.Number(default=0.1, doc=""" The amount of padding as a fraction of the total Grid size""") shared_xaxis = param.Boolean(default=False, doc=""" If enabled the x-axes of the GridSpace will be drawn from the objects inside the Grid rather than the GridSpace dimensions.""") shared_yaxis = param.Boolean(default=False, doc=""" If enabled the x-axes of the GridSpace will be drawn from the objects inside the Grid rather than the GridSpace dimensions.""") show_legend = param.Boolean(default=False, doc=""" Legends add to much clutter in a grid and are disabled by default.""") xaxis = param.ObjectSelector(default='bottom', objects=['bottom', 'top', None], doc=""" Whether and where to display the xaxis, supported options are 'bottom', 'top' and None.""") yaxis = param.ObjectSelector(default='left', objects=['left', 'right', None], doc=""" Whether and where to display the yaxis, supported options are 'left', 'right' and None.""") xrotation = param.Integer(default=0, bounds=(0, 360), doc=""" Rotation angle of the xticks.""") yrotation = param.Integer(default=0, bounds=(0, 360), doc=""" Rotation angle of the yticks.""") def __init__(self, layout, axis=None, create_axes=True, ranges=None, layout_num=1, keys=None, **params): if not isinstance(layout, GridSpace): raise Exception("GridPlot only accepts GridSpace.") super().__init__(layout, layout_num=layout_num, ranges=ranges, keys=keys, **params) # Compute ranges layoutwise grid_kwargs = {} if axis is not None: bbox = axis.get_position() l, b, w, h = bbox.x0, bbox.y0, bbox.width, bbox.height grid_kwargs = {'left': l, 'right': l+w, 'bottom': b, 'top': b+h} self.position = (l, b, w, h) self.cols, self.rows = layout.shape self.fig_inches = self._get_size() self._layoutspec = gridspec.GridSpec(self.rows, self.cols, **grid_kwargs) with mpl.rc_context(rc=self.fig_rcparams): self.subplots, self.subaxes, self.layout = self._create_subplots(layout, axis, ranges, create_axes) if self.top_level: self.traverse(lambda x: attach_streams(self, x.hmap, 2), [GenericElementPlot]) def _get_size(self): max_dim = max(self.layout.shape) # Reduce plot size as GridSpace gets larger shape_factor = 1. / max_dim # Expand small grids to a sensible viewing size expand_factor = 1 + (max_dim - 1) * 0.1 scale_factor = expand_factor * shape_factor cols, rows = self.layout.shape if isinstance(self.fig_inches, (tuple, list)): fig_inches = list(self.fig_inches) if fig_inches[0] is None: fig_inches[0] = fig_inches[1] * (cols/rows) if fig_inches[1] is None: fig_inches[1] = fig_inches[0] * (rows/cols) return fig_inches else: fig_inches = (self.fig_inches,)*2 return (scale_factor * cols * fig_inches[0], scale_factor * rows * fig_inches[1]) def _create_subplots(self, layout, axis, ranges, create_axes): norm_opts = self._traverse_options(layout, 'norm', ['axiswise'], [Element]) axiswise = all(norm_opts.get('axiswise', [])) if not ranges: self.handles['fig'].set_size_inches(self.fig_inches) subplots, subaxes = {}, {} frame_ranges = self.compute_ranges(layout, None, ranges) keys = self.keys[:1] if self.dynamic else self.keys frame_ranges = dict([(key, self.compute_ranges(layout, key, frame_ranges)) for key in keys]) collapsed_layout = layout.clone(shared_data=False, r, c = (0, 0) for coord in layout.keys(full_grid=True): if not isinstance(coord, tuple): coord = (coord,) view =, None) # Create subplot if type(view) in (Layout, NdLayout): raise SkipRendering("Cannot plot nested Layouts.") if not displayable(view): view = collate(view) if view is not None: vtype = view.type if isinstance(view, HoloMap) else view.__class__ opts = self.lookup_options(view, 'plot').options else: vtype = None # Create axes kwargs = {} if create_axes: projection = self._get_projection(view) if vtype else None subax = plt.subplot(self._layoutspec[r, c], projection=projection) if not axiswise and self.shared_xaxis and self.xaxis is not None: self.xaxis = 'top' if not axiswise and self.shared_yaxis and self.yaxis is not None: self.yaxis = 'right' # Disable subplot axes depending on shared axis options # and the position in the grid if (self.shared_xaxis or self.shared_yaxis) and not axiswise: if c == 0 and r != 0: subax.xaxis.set_ticks_position('none') kwargs['xaxis'] = 'bottom-bare' if c != 0 and r == 0 and not layout.ndims == 1: subax.yaxis.set_ticks_position('none') kwargs['yaxis'] = 'left-bare' if r != 0 and c != 0: kwargs['xaxis'] = 'bottom-bare' kwargs['yaxis'] = 'left-bare' if not self.shared_xaxis: kwargs['xaxis'] = 'bottom-bare' if not self.shared_yaxis: kwargs['yaxis'] = 'left-bare' else: kwargs['xaxis'] = 'bottom-bare' kwargs['yaxis'] = 'left-bare' subaxes[(r, c)] = subax else: subax = None if vtype and issubclass(vtype, CompositeOverlay) and (c == self.cols - 1 and r == self.rows//2): kwargs['show_legend'] = self.show_legend kwargs['legend_position'] = 'right' if (not isinstance(self.layout, GridMatrix) and not ((c == self.cols//2 and r == 0) or (c == 0 and r == self.rows//2))): kwargs['labelled'] = [] # Create subplot if view is not None: params = dict(fig=self.handles['fig'], axis=subax, dimensions=self.dimensions, show_title=False, subplot=not create_axes, ranges=frame_ranges, uniform=self.uniform, keys=self.keys, show_legend=False, renderer=self.renderer) plotting_class = Store.registry['matplotlib'][vtype] subplot = plotting_class(view, **dict(opts, **dict(params, **kwargs))) collapsed_layout[coord] = subplot.layout if isinstance(subplot, CompositePlot) else subplot.hmap subplots[(r, c)] = subplot elif subax is not None: subax.set_visible(False) if r != self.rows-1: r += 1 else: r = 0 c += 1 if create_axes: self.handles['axis'] = self._layout_axis(layout, axis) self._adjust_subplots(self.handles['axis'], subaxes) return subplots, subaxes, collapsed_layout
[docs] @mpl_rc_context def initialize_plot(self, ranges=None): # Get the extent of the layout elements (not the whole layout) key = self.keys[-1] axis = self.handles['axis'] subplot_kwargs = {} ranges = self.compute_ranges(self.layout, key, ranges) for subplot in self.subplots.values(): subplot.initialize_plot(ranges=ranges, **subplot_kwargs) if self.show_title: title = axis.set_title(self._format_title(key), **self._fontsize('title')) self.handles['title'] = title self._readjust_axes(axis) self.drawn = True if self.subplot: return self.handles['axis'] if self._close_figures: plt.close(self.handles['fig']) return self.handles['fig']
def _readjust_axes(self, axis): if self.subplot: axis.set_position(self.position) if self.aspect == 'equal': axis.set_aspect(float(self.rows)/self.cols) self.handles['fig'].canvas.draw() self._adjust_subplots(self.handles['axis'], self.subaxes) def _layout_axis(self, layout, axis): fig = self.handles['fig'] axkwargs = {'gid': str(self.position)} if axis else {} layout_axis = fig.add_subplot(1,1,1, **axkwargs) if axis: axis.set_visible(False) layout_axis.set_position(self.position) layout_axis.patch.set_visible(False) for ax, ax_obj in zip(['x', 'y'], [layout_axis.xaxis, layout_axis.yaxis]): tick_fontsize = self._fontsize(f'{ax}ticks','labelsize', common=False) if tick_fontsize: ax_obj.set_tick_params(**tick_fontsize) # Set labels layout_axis.set_xlabel(layout.kdims[0].pprint_label, **self._fontsize('xlabel')) if layout.ndims == 2: layout_axis.set_ylabel(layout.kdims[1].pprint_label, **self._fontsize('ylabel')) # Compute and set x- and y-ticks dims = layout.kdims keys = layout.keys() if layout.ndims == 1: dim1_keys = keys dim2_keys = [0] layout_axis.get_yaxis().set_visible(False) else: dim1_keys, dim2_keys = zip(*keys) layout_axis.set_ylabel(dims[1].pprint_label) layout_axis.set_aspect(float(self.rows)/self.cols) # Process ticks plot_width = (1.0 - self.padding) / self.cols border_width = self.padding / (self.cols-1) if self.cols > 1 else 0 xticks = [(plot_width/2)+(r*(plot_width+border_width)) for r in range(self.cols)] plot_height = (1.0 - self.padding) / self.rows border_height = self.padding / (self.rows-1) if layout.ndims > 1 else 0 yticks = [(plot_height/2)+(r*(plot_height+border_height)) for r in range(self.rows)] layout_axis.set_xticks(xticks) layout_axis.set_xticklabels([dims[0].pprint_value(l) for l in sorted(set(dim1_keys))]) for tick in layout_axis.get_xticklabels(): tick.set_rotation(self.xrotation) ydim = dims[1] if layout.ndims > 1 else None layout_axis.set_yticks(yticks) layout_axis.set_yticklabels([ydim.pprint_value(l) if ydim else '' for l in sorted(set(dim2_keys))]) for tick in layout_axis.get_yticklabels(): tick.set_rotation(self.yrotation) if not self.show_frame: layout_axis.spines['right' if self.yaxis == 'left' else 'left'].set_visible(False) layout_axis.spines['bottom' if self.xaxis == 'top' else 'top'].set_visible(False) axis = layout_axis if self.xaxis is not None: axis.xaxis.set_ticks_position(self.xaxis) axis.xaxis.set_label_position(self.xaxis) else: axis.xaxis.set_visible(False) if self.yaxis is not None: axis.yaxis.set_ticks_position(self.yaxis) axis.yaxis.set_label_position(self.yaxis) else: axis.yaxis.set_visible(False) for pos in ['left', 'right', 'top', 'bottom']: axis.spines[pos].set_visible(False) return layout_axis def _adjust_subplots(self, axis, subaxes): bbox = axis.get_position() l, b, w, h = bbox.x0, bbox.y0, bbox.width, bbox.height if self.padding: width_padding = w/(1./self.padding) height_padding = h/(1./self.padding) else: width_padding, height_padding = 0, 0 if self.cols == 1: b_w = 0 else: b_w = width_padding / (self.cols - 1) if self.rows == 1: b_h = 0 else: b_h = height_padding / (self.rows - 1) ax_w = (w - (width_padding if self.cols > 1 else 0)) / self.cols ax_h = (h - (height_padding if self.rows > 1 else 0)) / self.rows r, c = (0, 0) for ax in subaxes.values(): xpos = l + (c*ax_w) + (c * b_w) ypos = b + (r*ax_h) + (r * b_h) if r != self.rows-1: r += 1 else: r = 0 c += 1 if ax is not None: ax.set_position([xpos, ypos, ax_w, ax_h])
[docs]class AdjointLayoutPlot(MPLPlot, GenericAdjointLayoutPlot): """ Initially, a AdjointLayoutPlot computes an appropriate layout based for the number of Views in the AdjointLayout object it has been given, but when embedded in a NdLayout, it can recompute the layout to match the number of rows and columns as part of a larger grid. """ layout_dict = {'Single': ['main'], 'Dual': ['main', 'right'], 'Triple': ['top', None, 'main', 'right'], 'Embedded Dual': [None, 'main']} def __init__(self, layout, layout_type, subaxes, subplots, **params): # The AdjointLayout ViewableElement object self.layout = layout # Type may be set to 'Embedded Dual' by a call it grid_situate self.layout_type = layout_type self.view_positions = self.layout_dict[self.layout_type] # The supplied (axes, view) objects as indexed by position self.subaxes = {pos: ax for ax, pos in zip(subaxes, self.view_positions)} super().__init__(subplots=subplots, **params)
[docs] @mpl_rc_context def initialize_plot(self, ranges=None): """ Plot all the views contained in the AdjointLayout Object using axes appropriate to the layout configuration. All the axes are supplied by LayoutPlot - the purpose of the call is to invoke subplots with correct options and styles and hide any empty axes as necessary. """ for pos in self.view_positions: # Pos will be one of 'main', 'top' or 'right' or None view = self.layout.get(pos, None) subplot = self.subplots.get(pos, None) ax = self.subaxes.get(pos, None) # If no view object or empty position, disable the axis if None in [view, pos, subplot]: ax.set_axis_off() continue subplot.initialize_plot(ranges=ranges) self.adjust_positions() self.drawn = True
[docs] def adjust_positions(self, redraw=True): """ Make adjustments to the positions of subplots (if available) relative to the main plot axes as required. This method is called by LayoutPlot after an initial pass used to position all the Layouts together. This method allows LayoutPlots to make final adjustments to the axis positions. """ checks = [self.view_positions, self.subaxes, self.subplots] right = all('right' in check for check in checks) top = all('top' in check for check in checks) if "main" not in self.subplots or not (top or right): return if redraw: self.handles['fig'].canvas.draw() main_ax = self.subplots['main'].handles['axis'] bbox = main_ax.get_position() if right: ax = self.subaxes['right'] subplot = self.subplots['right'] if isinstance(subplot, AdjoinedPlot): subplot_size = subplot.subplot_size border_size = subplot.border_size else: subplot_size = 0.25 border_size = 0.25 ax.set_position([bbox.x1 + bbox.width * border_size, bbox.y0, bbox.width * subplot_size, bbox.height]) if isinstance(subplot, GridPlot): ax.set_aspect('equal') if top: ax = self.subaxes['top'] subplot = self.subplots['top'] if isinstance(subplot, AdjoinedPlot): subplot_size = subplot.subplot_size border_size = subplot.border_size else: subplot_size = 0.25 border_size = 0.25 ax.set_position([bbox.x0, bbox.y1 + bbox.height * border_size, bbox.width, bbox.height * subplot_size]) if isinstance(subplot, GridPlot): ax.set_aspect('equal')
@mpl_rc_context def update_frame(self, key, ranges=None): for pos in self.view_positions: subplot = self.subplots.get(pos) if subplot is not None: subplot.update_frame(key, ranges) def __len__(self): return max([1 if self.keys is None else len(self.keys), 1])
[docs]class LayoutPlot(GenericLayoutPlot, CompositePlot): """ A LayoutPlot accepts either a Layout or a NdLayout and displays the elements in a cartesian grid in scanline order. """ absolute_scaling = param.ObjectSelector(default=False, doc=""" If aspect_weight is enabled absolute_scaling determines whether axes are scaled relative to the widest plot or whether the aspect scales the axes in absolute terms.""") aspect_weight = param.Number(default=0, doc=""" Weighting of the individual aspects when computing the Layout grid aspects and overall figure size.""") fig_bounds = param.NumericTuple(default=(0.05, 0.05, 0.95, 0.95), doc=""" The bounds of the figure as a 4-tuple of the form (left, bottom, right, top), defining the size of the border around the subplots.""") tight = param.Boolean(default=False, doc=""" Tightly fit the axes in the layout within the fig_bounds and tight_padding.""") tight_padding = param.Parameter(default=3, doc=""" Integer or tuple specifying the padding in inches in a tight layout.""") hspace = param.Number(default=0.5, doc=""" Specifies the space between horizontally adjacent elements in the grid. Default value is set conservatively to avoid overlap of subplots.""") vspace = param.Number(default=0.3, doc=""" Specifies the space between vertically adjacent elements in the grid. Default value is set conservatively to avoid overlap of subplots.""") fontsize = param.Parameter(default={'title':16}, allow_None=True) # Whether to enable fix for non-square figures v17_layout_format = True def __init__(self, layout, keys=None, **params): super().__init__(layout=layout, keys=keys, **params) with mpl.rc_context(rc=self.fig_rcparams): self.subplots, self.subaxes, self.layout = self._compute_gridspec(layout) if self.top_level: self.traverse(lambda x: attach_streams(self, x.hmap, 2), [GenericElementPlot]) def _compute_gridspec(self, layout): """ Computes the tallest and widest cell for each row and column by examining the Layouts in the GridSpace. The GridSpec is then instantiated and the LayoutPlots are configured with the appropriate embedded layout_types. The first element of the returned tuple is a dictionary of all the LayoutPlots indexed by row and column. The second dictionary in the tuple supplies the grid indices needed to instantiate the axes for each LayoutPlot. """ layout_items = layout.grid_items() layout_dimensions = layout.kdims if isinstance(layout, NdLayout) else None layouts = {} col_widthratios, row_heightratios = {}, {} for (r, c) in self.coords: # Get view at layout position and wrap in AdjointLayout _, view = layout_items.get((c, r) if self.transpose else (r, c), (None, None)) if isinstance(view, NdLayout): raise SkipRendering("Cannot render NdLayout nested inside a Layout") layout_view = view if isinstance(view, AdjointLayout) else AdjointLayout([view]) layouts[(r, c)] = layout_view # Compute shape of AdjointLayout element layout_lens = {1:'Single', 2:'Dual', 3:'Triple'} layout_type = layout_lens[len(layout_view)] # Get aspects main = layout_view.main main = main.last if isinstance(main, HoloMap) else main main_options = self.lookup_options(main, 'plot').options if main else {} if main and not isinstance(main_options.get('aspect', 1), str): main_aspect = np.nan if isinstance(main, Empty) else main_options.get('aspect', 1) main_aspect = self.aspect_weight*main_aspect + 1-self.aspect_weight else: main_aspect = np.nan if layout_type in ['Dual', 'Triple']: el = layout_view.get('right', None) eltype = type(el) if el and eltype in MPLPlot.sideplots: plot_type = MPLPlot.sideplots[type(el)] ratio = 0.6*(plot_type.subplot_size+plot_type.border_size) width_ratios = [4, 4*ratio] else: width_ratios = [4, 1] else: width_ratios = [4] inv_aspect = 1./main_aspect if main_aspect else np.nan if layout_type in ['Embedded Dual', 'Triple']: el = layout_view.get('top', None) eltype = type(el) if el and eltype in MPLPlot.sideplots: plot_type = MPLPlot.sideplots[type(el)] ratio = 0.6*(plot_type.subplot_size+plot_type.border_size) height_ratios = [4*ratio, 4] else: height_ratios = [1, 4] else: height_ratios = [4] if not isinstance(main_aspect, (str, type(None))): width_ratios = [wratio * main_aspect for wratio in width_ratios] height_ratios = [hratio * inv_aspect for hratio in height_ratios] layout_shape = (len(width_ratios), len(height_ratios)) # For each row and column record the width and height ratios # of the LayoutPlot with the most horizontal or vertical splits # and largest aspect prev_heights = row_heightratios.get(r, (0, [])) if layout_shape[1] > prev_heights[0]: row_heightratios[r] = [layout_shape[1], prev_heights[1]] row_heightratios[r][1].append(height_ratios) prev_widths = col_widthratios.get(c, (0, [])) if layout_shape[0] > prev_widths[0]: col_widthratios[c] = (layout_shape[0], prev_widths[1]) col_widthratios[c][1].append(width_ratios) col_splits = [v[0] for __, v in sorted(col_widthratios.items())] row_splits = [v[0] for ___, v in sorted(row_heightratios.items())] widths = np.array([r for col in col_widthratios.values() for ratios in col[1] for r in ratios])/4 wr_unnormalized = compute_ratios(col_widthratios, False) hr_list = compute_ratios(row_heightratios) wr_list = compute_ratios(col_widthratios) # Compute the number of rows and cols cols, rows = len(wr_list), len(hr_list) wr_list = [r if np.isfinite(r) else 1 for r in wr_list] hr_list = [r if np.isfinite(r) else 1 for r in hr_list] width = sum([r if np.isfinite(r) else 1 for r in wr_list]) yscale = width/sum([(1/v)*4 if np.isfinite(v) else 4 for v in wr_unnormalized]) if self.absolute_scaling: width = width*np.nanmax(widths) xinches, yinches = None, None if not isinstance(self.fig_inches, (tuple, list)): xinches = self.fig_inches * width yinches = xinches/yscale elif self.fig_inches[0] is None: xinches = self.fig_inches[1] * yscale yinches = self.fig_inches[1] elif self.fig_inches[1] is None: xinches = self.fig_inches[0] yinches = self.fig_inches[0] / yscale if xinches and yinches: self.handles['fig'].set_size_inches([xinches, yinches]) = gridspec.GridSpec(rows, cols, width_ratios=wr_list, height_ratios=hr_list, wspace=self.hspace, hspace=self.vspace) # Explicitly clear Matplotlib figures to avoid # "Auto-removal of overlapping axes" warning. self.handles['fig'].clf() # Situate all the Layouts in the grid and compute the gridspec # indices for all the axes required by each LayoutPlot. gidx = 0 layout_count = 0 tight = self.tight collapsed_layout = layout.clone(shared_data=False, frame_ranges = self.compute_ranges(layout, None, None) keys = self.keys[:1] if self.dynamic else self.keys frame_ranges = dict([(key, self.compute_ranges(layout, key, frame_ranges)) for key in keys]) layout_subplots, layout_axes = {}, {} for r, c in self.coords: # Compute the layout type from shape wsplits = col_splits[c] hsplits = row_splits[r] if (wsplits, hsplits) == (1,1): layout_type = 'Single' elif (wsplits, hsplits) == (2,1): layout_type = 'Dual' elif (wsplits, hsplits) == (1,2): layout_type = 'Embedded Dual' elif (wsplits, hsplits) == (2,2): layout_type = 'Triple' # Get the AdjoinLayout at the specified coordinate view = layouts[(r, c)] positions = AdjointLayoutPlot.layout_dict[layout_type] # Create temporary subplots to get projections types # to create the correct subaxes for all plots in the layout _, _, projs = self._create_subplots(layouts[(r, c)], positions, None, frame_ranges, create=False) gidx, gsinds = self.grid_situate(gidx, layout_type, cols) layout_key, _ = layout_items.get((r, c), (None, None)) if isinstance(layout, NdLayout) and layout_key: layout_dimensions = dict(zip(layout_dimensions, layout_key)) # Generate the axes and create the subplots with the appropriate # axis objects, handling any Empty objects. obj = layouts[(r, c)] empty = isinstance(obj.main, Empty) if view.main is None: continue elif empty: obj = AdjointLayout([]) elif not view.traverse(lambda x: x, [Element]): self.param.warning(f'{obj.main} is empty, skipping subplot.') continue elif self.transpose: layout_count = (c*self.rows+(r+1)) else: layout_count += 1 subaxes = [plt.subplot([ind], projection=proj) for ind, proj in zip(gsinds, projs)] subplot_data = self._create_subplots(obj, positions, layout_dimensions, frame_ranges, dict(zip(positions, subaxes)), num=0 if empty else layout_count) subplots, adjoint_layout, _ = subplot_data layout_axes[(r, c)] = subaxes # Generate the AdjointLayoutsPlot which will coordinate # plotting of AdjointLayouts in the larger grid plotopts = self.lookup_options(view, 'plot').options layout_plot = AdjointLayoutPlot(adjoint_layout, layout_type, subaxes, subplots, fig=self.handles['fig'], **plotopts) layout_subplots[(r, c)] = layout_plot tight = not any(type(p) is GridPlot for p in layout_plot.subplots.values()) and tight if layout_key: collapsed_layout[layout_key] = adjoint_layout # Apply tight layout if enabled and incompatible # GridPlot isn't present. if tight: if isinstance(self.tight_padding, (tuple, list)): wpad, hpad = self.tight_padding padding = dict(w_pad=wpad, h_pad=hpad) else: padding = dict(w_pad=self.tight_padding, h_pad=self.tight_padding)['fig'], rect=self.fig_bounds, **padding) return layout_subplots, layout_axes, collapsed_layout
[docs] def grid_situate(self, current_idx, layout_type, subgrid_width): """ Situate the current AdjointLayoutPlot in a LayoutPlot. The LayoutPlot specifies a layout_type into which the AdjointLayoutPlot must be embedded. This enclosing layout is guaranteed to have enough cells to display all the views. Based on this enforced layout format, a starting index supplied by LayoutPlot (indexing into a large gridspec arrangement) is updated to the appropriate embedded value. It will also return a list of gridspec indices associated with the all the required layout axes. """ # Set the layout configuration as situated in a NdLayout if layout_type == 'Single': start, inds = current_idx+1, [current_idx] elif layout_type == 'Dual': start, inds = current_idx+2, [current_idx, current_idx+1] bottom_idx = current_idx + subgrid_width if layout_type == 'Embedded Dual': bottom = ((current_idx+1) % subgrid_width) == 0 grid_idx = (bottom_idx if bottom else current_idx)+1 start, inds = grid_idx, [current_idx, bottom_idx] elif layout_type == 'Triple': bottom = ((current_idx+2) % subgrid_width) == 0 grid_idx = (bottom_idx if bottom else current_idx) + 2 start, inds = grid_idx, [current_idx, current_idx+1, bottom_idx, bottom_idx+1] return start, inds
def _create_subplots(self, layout, positions, layout_dimensions, ranges, axes=None, num=1, create=True): """ Plot all the views contained in the AdjointLayout Object using axes appropriate to the layout configuration. All the axes are supplied by LayoutPlot - the purpose of the call is to invoke subplots with correct options and styles and hide any empty axes as necessary. """ if axes is None: axes = {} subplots = {} projections = [] adjoint_clone = layout.clone(shared_data=False, subplot_opts = dict(show_title=False, adjoined=layout) for pos in positions: # Pos will be one of 'main', 'top' or 'right' or None view = layout.get(pos, None) if not displayable(view): view = collate(view) ax = axes.get(pos, None) if view is None or not view.traverse(lambda x: x, [Element]): projections.append(None) continue # Determine projection type for plot projections.append(self._get_projection(view)) if not create: continue # Customize plotopts depending on position. plotopts = self.lookup_options(view, 'plot').options # Options common for any subplot override_opts = {} sublabel_opts = {} if pos == 'main': own_params = self.param.values(onlychanged=True).items() sublabel_opts = {k: v for k, v in own_params if 'sublabel_' in k} elif pos == 'right': right_opts = dict(invert_axes=True, xaxis=None) override_opts = dict(subplot_opts, **right_opts) elif pos == 'top': top_opts = dict(yaxis=None) override_opts = dict(subplot_opts, **top_opts) # Override the plotopts as required plotopts = dict(sublabel_opts, **plotopts) plotopts.update(override_opts, fig=self.handles['fig']) vtype = view.type if isinstance(view, HoloMap) else view.__class__ if isinstance(view, GridSpace): plotopts['create_axes'] = ax is not None plot_type = Store.registry['matplotlib'][vtype] if pos != 'main' and vtype in MPLPlot.sideplots: plot_type = MPLPlot.sideplots[vtype] num = num if len(self.coords) > 1 else 0 subplots[pos] = plot_type(view, axis=ax, keys=self.keys, dimensions=self.dimensions, layout_dimensions=layout_dimensions, ranges=ranges, subplot=True, uniform=self.uniform, layout_num=num, renderer=self.renderer, **plotopts) if isinstance(view, (Element, HoloMap, Collator, CompositeOverlay)): adjoint_clone[pos] = subplots[pos].hmap else: adjoint_clone[pos] = subplots[pos].layout return subplots, adjoint_clone, projections
[docs] @mpl_rc_context def initialize_plot(self): key = self.keys[-1] ranges = self.compute_ranges(self.layout, key, None) for subplot in self.subplots.values(): subplot.initialize_plot(ranges=ranges) # Create title handle title_obj = None title = self._format_title(key) if self.show_title and len(self.coords) > 1 and title: title_obj = self.handles['fig'].suptitle(title, **self._fontsize('title')) self.handles['title'] = title_obj self.handles['bbox_extra_artists'] += [title_obj] fig = self.handles['fig'] if (not self.traverse(specs=[GridPlot]) and not isinstance(self.fig_inches, tuple) and self.v17_layout_format): traverse_fn = lambda x: x.handles.get('bbox_extra_artists', None) extra_artists = list( chain.from_iterable(artists for artists in self.traverse(traverse_fn) if artists is not None) ) fix_aspect(fig, self.rows, self.cols, title_obj, extra_artists, vspace=self.vspace*self.fig_scale, hspace=self.hspace*self.fig_scale) colorbars = self.traverse(specs=[lambda x: hasattr(x, 'colorbar')]) for cbar_plot in colorbars: if cbar_plot.colorbar: cbar_plot._draw_colorbar(redraw=False) adjoineds = self.traverse(specs=[AdjointLayoutPlot]) for adjoined in adjoineds: if len(adjoined.subplots) > 1: adjoined.adjust_positions(redraw=False) return self._finalize_axis(None)
[docs]class AdjoinedPlot(DimensionedPlot): aspect = param.Parameter(default='auto', doc=""" Aspect ratios on SideHistogramPlot should be determined by the AdjointLayoutPlot.""") bgcolor = param.Parameter(default=(1, 1, 1, 0), doc=""" Make plot background invisible.""") border_size = param.Number(default=0.25, doc=""" The size of the border expressed as a fraction of the main plot.""") show_title = param.Boolean(default=False, doc=""" Titles should be disabled on all SidePlots to avoid clutter.""") subplot_size = param.Number(default=0.25, doc=""" The size subplots as expressed as a fraction of the main plot.""") show_xlabel = param.Boolean(default=False, doc=""" Whether to show the x-label of the plot. Disabled by default because plots are often too cramped to fit the title correctly.""")