Source code for holoviews.plotting.mpl

import os
from distutils.version import LooseVersion

from matplotlib import rc_params_from_file
from matplotlib.colors import ListedColormap

from ...core import Layout, Collator, GridMatrix, config
from ...core.options import Cycle, Palette, Options
from ...core.overlay import NdOverlay, Overlay
from ...core.util import pd
from ...element import * # noqa (API import)
from ..plot import PlotSelector
from .annotation import * # noqa (API import)
from .chart import * # noqa (API import)
from .chart3d import * # noqa (API import)
from .graphs import * # noqa (API import)
from .path import * # noqa (API import)
from .plot import * # noqa (API import)
from .raster import * # noqa (API import)
from .stats import * # noqa (API import)
from .tabular import * # noqa (API import)

from .renderer import MPLRenderer

mpl_ge_150 = LooseVersion(mpl.__version__) >= '1.5.0'

if pd:
    from pandas.tseries import converter

[docs]def set_style(key): """ Select a style by name, e.g. set_style('default'). To revert to the previous style use the key 'unset' or False. """ if key is None: return elif not key or key in ['unset', 'backup']: if 'backup' in styles: plt.rcParams.update(styles['backup']) else: raise Exception('No style backed up to restore') elif key not in styles: raise KeyError('%r not in available styles.') else: path = os.path.join(os.path.dirname(__file__), styles[key]) new_style = rc_params_from_file(path, use_default_template=False) styles['backup'] = dict(plt.rcParams) plt.rcParams.update(new_style)
# Define matplotlib based style cycles and Palettes def get_color_cycle(): if mpl_ge_150: cyl = mpl.rcParams['axes.prop_cycle'] # matplotlib 1.5 verifies that axes.prop_cycle *is* a cycler # but no guarantee that there's a `color` key. # so users could have a custom rcParams w/ no color... try: return [x['color'] for x in cyl] except KeyError: pass # just return axes.color style below return mpl.rcParams['axes.color_cycle'] styles = {'default': './default.mplstyle', 'default>1.5': './default1.5.mplstyle'} if config.style_17: if mpl_ge_150: set_style('default>1.5') else: set_style('default') Cycle.default_cycles.update({'default_colors': get_color_cycle()}) else: Cycle.default_cycles['default_colors'] = ['#30a2da', '#fc4f30', '#e5ae38', '#6d904f', '#8b8b8b'] # Define Palettes and cycles from matplotlib colormaps Palette.colormaps.update({cm: plt.get_cmap(cm) for cm in if 'spectral' not in cm and 'Vega' not in cm}) listed_cmaps = [cm for cm in Palette.colormaps.values() if isinstance(cm, ListedColormap)] Cycle.default_cycles.update({ list(cm.colors) for cm in listed_cmaps}) style_aliases = {'edgecolor': ['ec', 'ecolor'], 'facecolor': ['fc'], 'linewidth': ['lw'], 'edgecolors': ['ec', 'edgecolor'], 'size': ['s'], 'color': ['c'], 'markeredgecolor': ['mec'], 'markeredgewidth': ['mew'], 'markerfacecolor': ['mfc'], 'markersize': ['ms']} Store.renderers['matplotlib'] = MPLRenderer.instance() if len(Store.renderers) == 1: Store.current_backend = 'matplotlib' # Defines a wrapper around GridPlot and RasterGridPlot # switching to RasterGridPlot if the plot only contains # Raster Elements BasicGridPlot = GridPlot def grid_selector(grid): raster_fn = lambda x: True if isinstance(x, Raster) else False all_raster = all(grid.traverse(raster_fn, [Element])) return 'RasterGridPlot' if all_raster else 'GridPlot' GridPlot = PlotSelector(grid_selector, plot_classes=[('GridPlot', BasicGridPlot), ('RasterGridPlot', RasterGridPlot)]) # Register default Elements Store.register({Curve: CurvePlot, Scatter: PointPlot, Bars: BarPlot, Histogram: HistogramPlot, Points: PointPlot, VectorField: VectorFieldPlot, ErrorBars: ErrorPlot, Spread: SpreadPlot, Spikes: SpikesPlot, BoxWhisker: BoxPlot, Area: AreaPlot, # General plots GridSpace: GridPlot, GridMatrix: GridPlot, NdLayout: LayoutPlot, Layout: LayoutPlot, AdjointLayout: AdjointLayoutPlot, # Element plots NdOverlay: OverlayPlot, Overlay: OverlayPlot, # Chart 3D Surface: SurfacePlot, TriSurface: TriSurfacePlot, Trisurface: TriSurfacePlot, # Alias, remove in 2.0 Scatter3D: Scatter3DPlot, # Tabular plots ItemTable: TablePlot, Table: TablePlot, Collator: TablePlot, # Raster plots QuadMesh: QuadMeshPlot, Raster: RasterPlot, HeatMap: HeatMapPlot, Image: RasterPlot, RGB: RasterPlot, HSV: RasterPlot, # Graph Elements Graph: GraphPlot, Nodes: PointPlot, EdgePaths: PathPlot, # Annotation plots VLine: VLinePlot, HLine: HLinePlot, Arrow: ArrowPlot, Spline: SplinePlot, Text: TextPlot, # Path plots Contours: ContourPlot, Path: PathPlot, Box: PathPlot, Bounds: PathPlot, Ellipse: PathPlot, Polygons: PolygonPlot, # Statistics elements Distribution: DistributionPlot, Bivariate: BivariatePlot}, 'matplotlib', style_aliases=style_aliases) MPLPlot.sideplots.update({Histogram: SideHistogramPlot, GridSpace: GridPlot, Spikes: SideSpikesPlot, BoxWhisker: SideBoxPlot}) if config.style_17: CurvePlot.show_grid = True SideHistogramPlot.show_grid = True PointPlot.show_grid = True MPLPlot.show_frame = True for framelesscls in [RasterGridPlot, GridPlot, AdjoinedPlot, Plot3D, CurvePlot, HistogramPlot]: framelesscls.show_frame = False else: # Raster types, Path types and VectorField should have frames for framedcls in [VectorFieldPlot, ContourPlot, PathPlot, RasterPlot, QuadMeshPlot, HeatMapPlot, PolygonPlot]: framedcls.show_frame = True options = Store.options(backend='matplotlib') dflt_cmap = 'hot' if config.style_17 else 'fire' # Default option definitions # Note: *No*short aliases here! e.g use 'facecolor' instead of 'fc' # Charts options.Curve = Options('style', color=Cycle(), linewidth=2) options.Scatter = Options('style', color=Cycle(), marker='o', cmap=dflt_cmap) if not config.style_17: options.Points = Options('plot', show_frame=True) options.ErrorBars = Options('style', ecolor='k') options.Spread = Options('style', facecolor=Cycle(), alpha=0.6, edgecolor='k', linewidth=0.5) options.Bars = Options('style', ec='k', color=Cycle()) options.Histogram = Options('style', ec='k', facecolor=Cycle()) options.Points = Options('style', color=Cycle(), marker='o', cmap=dflt_cmap) options.Scatter3D = Options('style', c=Cycle(), marker='o') options.Scatter3D = Options('plot', fig_size=150) options.Surface = Options('plot', fig_size=150) options.Surface = Options('style', cmap='fire') options.Spikes = Options('style', color='black', cmap='fire') options.Area = Options('style', facecolor=Cycle(), edgecolor='black') options.BoxWhisker = Options('style', boxprops=dict(color='k', linewidth=1.5), whiskerprops=dict(color='k', linewidth=1.5)) # Rasters options.Image = Options('style', cmap=dflt_cmap, interpolation='nearest') options.GridImage = Options('style', cmap=dflt_cmap, interpolation='nearest') options.Raster = Options('style', cmap=dflt_cmap, interpolation='nearest') options.QuadMesh = Options('style', cmap=dflt_cmap) options.HeatMap = Options('style', cmap='RdYlBu_r', interpolation='nearest') options.HeatMap = Options('plot', show_values=True, xticks=20, yticks=20) options.RGB = Options('style', interpolation='nearest') # Composites options.Layout = Options('plot', sublabel_format='{Alpha}') options.GridMatrix = Options('plot', fig_size=160, shared_xaxis=True, shared_yaxis=True, xaxis=None, yaxis=None) # Annotations options.VLine = Options('style', color=Cycle()) options.HLine = Options('style', color=Cycle()) if config.style_17: options.Spline = Options('style', linewidth=2, edgecolor='r') else: options.Spline = Options('style', edgecolor=Cycle()) options.Text = Options('style', fontsize=13) options.Arrow = Options('style', color='k', linewidth=2, fontsize=13) # Paths options.Contours = Options('style', color=Cycle(), cmap='viridis') options.Contours = Options('plot', show_legend=True) options.Path = Options('style', color=Cycle(), cmap='viridis') if config.style_17: options.Box = Options('style', color=Cycle()) options.Bounds = Options('style', color=Cycle()) options.Ellipse = Options('style', color=Cycle()) else: options.Box = Options('style', color='black') options.Bounds = Options('style', color='black') options.Ellipse = Options('style', color='black') options.Polygons = Options('style', facecolor=Cycle(), edgecolor='black', cmap='viridis') # Interface options.TimeSeries = Options('style', color=Cycle()) # Graphs options.Graph = Options('style', node_edgecolors='black', node_facecolors=Cycle(), edge_color='black', node_size=20) options.Nodes = Options('style', edgecolors='black', facecolors=Cycle(), marker='o', s=20**2) options.EdgePaths = Options('style', color='black') # Statistics options.Distribution = Options('style', facecolor=Cycle(), edgecolor='black', alpha=0.5)