from __future__ import (absolute_import, division, print_function, unicode_literals) from matplotlib.externals import six import matplotlib import matplotlib.artist as martist from matplotlib.artist import allow_rasterization from matplotlib import docstring import matplotlib.transforms as mtransforms import matplotlib.lines as mlines import matplotlib.patches as mpatches import matplotlib.path as mpath import matplotlib.cbook as cbook import numpy as np import warnings rcParams = matplotlib.rcParams class Spine(mpatches.Patch): """an axis spine -- the line noting the data area boundaries Spines are the lines connecting the axis tick marks and noting the boundaries of the data area. They can be placed at arbitrary positions. See function:`~matplotlib.spines.Spine.set_position` for more information. The default position is ``('outward',0)``. Spines are subclasses of class:`~matplotlib.patches.Patch`, and inherit much of their behavior. Spines draw a line or a circle, depending if function:`~matplotlib.spines.Spine.set_patch_line` or function:`~matplotlib.spines.Spine.set_patch_circle` has been called. Line-like is the default. """ def __str__(self): return "Spine" @docstring.dedent_interpd def __init__(self, axes, spine_type, path, **kwargs): """ - *axes* : the Axes instance containing the spine - *spine_type* : a string specifying the spine type - *path* : the path instance used to draw the spine Valid kwargs are: %(Patch)s """ super(Spine, self).__init__(**kwargs) self.axes = axes self.set_figure(self.axes.figure) self.spine_type = spine_type self.set_facecolor('none') self.set_edgecolor(rcParams['axes.edgecolor']) self.set_linewidth(rcParams['axes.linewidth']) self.set_capstyle('projecting') self.axis = None self.set_zorder(2.5) self.set_transform(self.axes.transData) # default transform self._bounds = None # default bounds self._smart_bounds = False # Defer initial position determination. (Not much support for # non-rectangular axes is currently implemented, and this lets # them pass through the spines machinery without errors.) self._position = None if not isinstance(path, matplotlib.path.Path): msg = "'path' must be an instance of 'matplotlib.path.Path'" raise ValueError(msg) self._path = path # To support drawing both linear and circular spines, this # class implements Patch behavior two ways. If # self._patch_type == 'line', behave like a mpatches.PathPatch # instance. If self._patch_type == 'circle', behave like a # mpatches.Ellipse instance. self._patch_type = 'line' # Behavior copied from mpatches.Ellipse: # Note: This cannot be calculated until this is added to an Axes self._patch_transform = mtransforms.IdentityTransform() def set_smart_bounds(self, value): """set the spine and associated axis to have smart bounds""" self._smart_bounds = value # also set the axis if possible if self.spine_type in ('left', 'right'): self.axes.yaxis.set_smart_bounds(value) elif self.spine_type in ('top', 'bottom'): self.axes.xaxis.set_smart_bounds(value) self.stale = True def get_smart_bounds(self): """get whether the spine has smart bounds""" return self._smart_bounds def set_patch_circle(self, center, radius): """set the spine to be circular""" self._patch_type = 'circle' self._center = center self._width = radius * 2 self._height = radius * 2 self._angle = 0 # circle drawn on axes transform self.set_transform(self.axes.transAxes) self.stale = True def set_patch_line(self): """set the spine to be linear""" self._patch_type = 'line' self.stale = True # Behavior copied from mpatches.Ellipse: def _recompute_transform(self): """NOTE: This cannot be called until after this has been added to an Axes, otherwise unit conversion will fail. This maxes it very important to call the accessor method and not directly access the transformation member variable. """ assert self._patch_type == 'circle' center = (self.convert_xunits(self._center[0]), self.convert_yunits(self._center[1])) width = self.convert_xunits(self._width) height = self.convert_yunits(self._height) self._patch_transform = mtransforms.Affine2D() \ .scale(width * 0.5, height * 0.5) \ .rotate_deg(self._angle) \ .translate(*center) def get_patch_transform(self): if self._patch_type == 'circle': self._recompute_transform() return self._patch_transform else: return super(Spine, self).get_patch_transform() def get_path(self): return self._path def _ensure_position_is_set(self): if self._position is None: # default position self._position = ('outward', 0.0) # in points self.set_position(self._position) def register_axis(self, axis): """register an axis An axis should be registered with its corresponding spine from the Axes instance. This allows the spine to clear any axis properties when needed. """ self.axis = axis if self.axis is not None: self.axis.cla() self.stale = True def cla(self): """Clear the current spine""" self._position = None # clear position if self.axis is not None: self.axis.cla() def is_frame_like(self): """return True if directly on axes frame This is useful for determining if a spine is the edge of an old style MPL plot. If so, this function will return True. """ self._ensure_position_is_set() position = self._position if cbook.is_string_like(position): if position == 'center': position = ('axes', 0.5) elif position == 'zero': position = ('data', 0) if len(position) != 2: raise ValueError("position should be 2-tuple") position_type, amount = position if position_type == 'outward' and amount == 0: return True else: return False def _adjust_location(self): """automatically set spine bounds to the view interval""" if self.spine_type == 'circle': return if self._bounds is None: if self.spine_type in ('left', 'right'): low, high = self.axes.viewLim.intervaly elif self.spine_type in ('top', 'bottom'): low, high = self.axes.viewLim.intervalx else: raise ValueError('unknown spine spine_type: %s' % self.spine_type) if self._smart_bounds: # attempt to set bounds in sophisticated way if low > high: # handle inverted limits low, high = high, low viewlim_low = low viewlim_high = high del low, high if self.spine_type in ('left', 'right'): datalim_low, datalim_high = self.axes.dataLim.intervaly ticks = self.axes.get_yticks() elif self.spine_type in ('top', 'bottom'): datalim_low, datalim_high = self.axes.dataLim.intervalx ticks = self.axes.get_xticks() # handle inverted limits ticks = list(ticks) ticks.sort() ticks = np.array(ticks) if datalim_low > datalim_high: datalim_low, datalim_high = datalim_high, datalim_low if datalim_low < viewlim_low: # Data extends past view. Clip line to view. low = viewlim_low else: # Data ends before view ends. cond = (ticks <= datalim_low) & (ticks >= viewlim_low) tickvals = ticks[cond] if len(tickvals): # A tick is less than or equal to lowest data point. low = tickvals[-1] else: # No tick is available low = datalim_low low = max(low, viewlim_low) if datalim_high > viewlim_high: # Data extends past view. Clip line to view. high = viewlim_high else: # Data ends before view ends. cond = (ticks >= datalim_high) & (ticks <= viewlim_high) tickvals = ticks[cond] if len(tickvals): # A tick is greater than or equal to highest data # point. high = tickvals[0] else: # No tick is available high = datalim_high high = min(high, viewlim_high) else: low, high = self._bounds v1 = self._path.vertices assert v1.shape == (2, 2), 'unexpected vertices shape' if self.spine_type in ['left', 'right']: v1[0, 1] = low v1[1, 1] = high elif self.spine_type in ['bottom', 'top']: v1[0, 0] = low v1[1, 0] = high else: raise ValueError('unable to set bounds for spine "%s"' % self.spine_type) @allow_rasterization def draw(self, renderer): self._adjust_location() ret = super(Spine, self).draw(renderer) self.stale = False return ret def _calc_offset_transform(self): """calculate the offset transform performed by the spine""" self._ensure_position_is_set() position = self._position if cbook.is_string_like(position): if position == 'center': position = ('axes', 0.5) elif position == 'zero': position = ('data', 0) assert len(position) == 2, "position should be 2-tuple" position_type, amount = position assert position_type in ('axes', 'outward', 'data') if position_type == 'outward': if amount == 0: # short circuit commonest case self._spine_transform = ('identity', mtransforms.IdentityTransform()) elif self.spine_type in ['left', 'right', 'top', 'bottom']: offset_vec = {'left': (-1, 0), 'right': (1, 0), 'bottom': (0, -1), 'top': (0, 1), }[self.spine_type] # calculate x and y offset in dots offset_x = amount * offset_vec[0] / 72.0 offset_y = amount * offset_vec[1] / 72.0 self._spine_transform = ('post', mtransforms.ScaledTranslation( offset_x, offset_y, self.figure.dpi_scale_trans)) else: warnings.warn('unknown spine type "%s": no spine ' 'offset performed' % self.spine_type) self._spine_transform = ('identity', mtransforms.IdentityTransform()) elif position_type == 'axes': if self.spine_type in ('left', 'right'): self._spine_transform = ('pre', mtransforms.Affine2D.from_values( # keep y unchanged, fix x at # amount 0, 0, 0, 1, amount, 0)) elif self.spine_type in ('bottom', 'top'): self._spine_transform = ('pre', mtransforms.Affine2D.from_values( # keep x unchanged, fix y at # amount 1, 0, 0, 0, 0, amount)) else: warnings.warn('unknown spine type "%s": no spine ' 'offset performed' % self.spine_type) self._spine_transform = ('identity', mtransforms.IdentityTransform()) elif position_type == 'data': if self.spine_type in ('right', 'top'): # The right and top spines have a default position of 1 in # axes coordinates. When specifying the position in data # coordinates, we need to calculate the position relative to 0. amount -= 1 if self.spine_type in ('left', 'right'): self._spine_transform = ('data', mtransforms.Affine2D().translate( amount, 0)) elif self.spine_type in ('bottom', 'top'): self._spine_transform = ('data', mtransforms.Affine2D().translate( 0, amount)) else: warnings.warn('unknown spine type "%s": no spine ' 'offset performed' % self.spine_type) self._spine_transform = ('identity', mtransforms.IdentityTransform()) def set_position(self, position): """set the position of the spine Spine position is specified by a 2 tuple of (position type, amount). The position types are: * 'outward' : place the spine out from the data area by the specified number of points. (Negative values specify placing the spine inward.) * 'axes' : place the spine at the specified Axes coordinate (from 0.0-1.0). * 'data' : place the spine at the specified data coordinate. Additionally, shorthand notations define a special positions: * 'center' -> ('axes',0.5) * 'zero' -> ('data', 0.0) """ if position in ('center', 'zero'): # special positions pass else: if len(position) != 2: raise ValueError("position should be 'center' or 2-tuple") if position[0] not in ['outward', 'axes', 'data']: msg = ("position[0] should be in [ 'outward' | 'axes' |" " 'data' ]") raise ValueError(msg) self._position = position self._calc_offset_transform() self.set_transform(self.get_spine_transform()) if self.axis is not None: self.axis.reset_ticks() self.stale = True def get_position(self): """get the spine position""" self._ensure_position_is_set() return self._position def get_spine_transform(self): """get the spine transform""" self._ensure_position_is_set() what, how = self._spine_transform if what == 'data': # special case data based spine locations data_xform = self.axes.transScale + \ (how + self.axes.transLimits + self.axes.transAxes) if self.spine_type in ['left', 'right']: result = mtransforms.blended_transform_factory( data_xform, self.axes.transData) elif self.spine_type in ['top', 'bottom']: result = mtransforms.blended_transform_factory( self.axes.transData, data_xform) else: raise ValueError('unknown spine spine_type: %s' % self.spine_type) return result if self.spine_type in ['left', 'right']: base_transform = self.axes.get_yaxis_transform(which='grid') elif self.spine_type in ['top', 'bottom']: base_transform = self.axes.get_xaxis_transform(which='grid') else: raise ValueError('unknown spine spine_type: %s' % self.spine_type) if what == 'identity': return base_transform elif what == 'post': return base_transform + how elif what == 'pre': return how + base_transform else: raise ValueError("unknown spine_transform type: %s" % what) def set_bounds(self, low, high): """Set the bounds of the spine.""" if self.spine_type == 'circle': raise ValueError( 'set_bounds() method incompatible with circular spines') self._bounds = (low, high) self.stale = True def get_bounds(self): """Get the bounds of the spine.""" return self._bounds @classmethod def linear_spine(cls, axes, spine_type, **kwargs): """ (staticmethod) Returns a linear :class:`Spine`. """ # all values of 13 get replaced upon call to set_bounds() if spine_type == 'left': path = mpath.Path([(0.0, 13), (0.0, 13)]) elif spine_type == 'right': path = mpath.Path([(1.0, 13), (1.0, 13)]) elif spine_type == 'bottom': path = mpath.Path([(13, 0.0), (13, 0.0)]) elif spine_type == 'top': path = mpath.Path([(13, 1.0), (13, 1.0)]) else: raise ValueError('unable to make path for spine "%s"' % spine_type) result = cls(axes, spine_type, path, **kwargs) result.set_visible(rcParams['axes.spines.{0}'.format(spine_type)]) return result @classmethod def circular_spine(cls, axes, center, radius, **kwargs): """ (staticmethod) Returns a circular :class:`Spine`. """ path = mpath.Path.unit_circle() spine_type = 'circle' result = cls(axes, spine_type, path, **kwargs) result.set_patch_circle(center, radius) return result def set_color(self, c): """ Set the edgecolor. ACCEPTS: matplotlib color arg or sequence of rgba tuples .. seealso:: :meth:`set_facecolor`, :meth:`set_edgecolor` For setting the edge or face color individually. """ # The facecolor of a spine is always 'none' by default -- let # the user change it manually if desired. self.set_edgecolor(c) self.stale = True