Version 3.0.2
"""
This module contains all the 2D line class which can draw with a
variety of line styles, markers and colors.
"""
# TODO: expose cap and join style attrs
from numbers import Integral, Number, Real
import warnings
import numpy as np
from . import artist, cbook, colors as mcolors, docstring, rcParams
from .artist import Artist, allow_rasterization
from .cbook import (
_to_unmasked_float_array, iterable, ls_mapper, ls_mapper_r,
STEP_LOOKUP_MAP)
from .markers import MarkerStyle
from .path import Path
from .transforms import Bbox, TransformedPath, IdentityTransform
# Imported here for backward compatibility, even though they don't
# really belong.
from . import _path
from .markers import (
CARETLEFT, CARETRIGHT, CARETUP, CARETDOWN,
CARETLEFTBASE, CARETRIGHTBASE, CARETUPBASE, CARETDOWNBASE,
TICKLEFT, TICKRIGHT, TICKUP, TICKDOWN)
def _get_dash_pattern(style):
"""Convert linestyle -> dash pattern
"""
# go from short hand -> full strings
if isinstance(style, str):
style = ls_mapper.get(style, style)
# un-dashed styles
if style in ['solid', 'None']:
offset, dashes = None, None
# dashed styles
elif style in ['dashed', 'dashdot', 'dotted']:
offset = 0
dashes = tuple(rcParams['lines.{}_pattern'.format(style)])
#
elif isinstance(style, tuple):
offset, dashes = style
else:
raise ValueError('Unrecognized linestyle: %s' % str(style))
# normalize offset to be positive and shorter than the dash cycle
if dashes is not None and offset is not None:
dsum = sum(dashes)
if dsum:
offset %= dsum
return offset, dashes
def _scale_dashes(offset, dashes, lw):
if not rcParams['lines.scale_dashes']:
return offset, dashes
scaled_offset = scaled_dashes = None
if offset is not None:
scaled_offset = offset * lw
if dashes is not None:
scaled_dashes = [x * lw if x is not None else None
for x in dashes]
return scaled_offset, scaled_dashes
[docs]def segment_hits(cx, cy, x, y, radius):
"""
Determine if any line segments are within radius of a
point. Returns the list of line segments that are within that
radius.
"""
# Process single points specially
if len(x) < 2:
res, = np.nonzero((cx - x) ** 2 + (cy - y) ** 2 <= radius ** 2)
return res
# We need to lop the last element off a lot.
xr, yr = x[:-1], y[:-1]
# Only look at line segments whose nearest point to C on the line
# lies within the segment.
dx, dy = x[1:] - xr, y[1:] - yr
Lnorm_sq = dx ** 2 + dy ** 2 # Possibly want to eliminate Lnorm==0
u = ((cx - xr) * dx + (cy - yr) * dy) / Lnorm_sq
candidates = (u >= 0) & (u <= 1)
# Note that there is a little area near one side of each point
# which will be near neither segment, and another which will
# be near both, depending on the angle of the lines. The
# following radius test eliminates these ambiguities.
point_hits = (cx - x) ** 2 + (cy - y) ** 2 <= radius ** 2
candidates = candidates & ~(point_hits[:-1] | point_hits[1:])
# For those candidates which remain, determine how far they lie away
# from the line.
px, py = xr + u * dx, yr + u * dy
line_hits = (cx - px) ** 2 + (cy - py) ** 2 <= radius ** 2
line_hits = line_hits & candidates
points, = point_hits.ravel().nonzero()
lines, = line_hits.ravel().nonzero()
return np.concatenate((points, lines))
def _mark_every_path(markevery, tpath, affine, ax_transform):
"""
Helper function that sorts out how to deal the input
`markevery` and returns the points where markers should be drawn.
Takes in the `markevery` value and the line path and returns the
sub-sampled path.
"""
# pull out the two bits of data we want from the path
codes, verts = tpath.codes, tpath.vertices
def _slice_or_none(in_v, slc):
'''
Helper function to cope with `codes` being an
ndarray or `None`
'''
if in_v is None:
return None
return in_v[slc]
# if just an int, assume starting at 0 and make a tuple
if isinstance(markevery, Integral):
markevery = (0, markevery)
# if just a float, assume starting at 0.0 and make a tuple
elif isinstance(markevery, Real):
markevery = (0.0, markevery)
if isinstance(markevery, tuple):
if len(markevery) != 2:
raise ValueError('`markevery` is a tuple but its len is not 2; '
'markevery={}'.format(markevery))
start, step = markevery
# if step is an int, old behavior
if isinstance(step, Integral):
# tuple of 2 int is for backwards compatibility,
if not isinstance(start, Integral):
raise ValueError(
'`markevery` is a tuple with len 2 and second element is '
'an int, but the first element is not an int; markevery={}'
.format(markevery))
# just return, we are done here
return Path(verts[slice(start, None, step)],
_slice_or_none(codes, slice(start, None, step)))
elif isinstance(step, Real):
if not isinstance(start, Real):
raise ValueError(
'`markevery` is a tuple with len 2 and second element is '
'a float, but the first element is not a float or an int; '
'markevery={}'.format(markevery))
# calc cumulative distance along path (in display coords):
disp_coords = affine.transform(tpath.vertices)
delta = np.empty((len(disp_coords), 2))
delta[0, :] = 0
delta[1:, :] = disp_coords[1:, :] - disp_coords[:-1, :]
delta = np.sum(delta**2, axis=1)
delta = np.sqrt(delta)
delta = np.cumsum(delta)
# calc distance between markers along path based on the axes
# bounding box diagonal being a distance of unity:
scale = ax_transform.transform(np.array([[0, 0], [1, 1]]))
scale = np.diff(scale, axis=0)
scale = np.sum(scale**2)
scale = np.sqrt(scale)
marker_delta = np.arange(start * scale, delta[-1], step * scale)
# find closest actual data point that is closest to
# the theoretical distance along the path:
inds = np.abs(delta[np.newaxis, :] - marker_delta[:, np.newaxis])
inds = inds.argmin(axis=1)
inds = np.unique(inds)
# return, we are done here
return Path(verts[inds],
_slice_or_none(codes, inds))
else:
raise ValueError(
'`markevery` is a tuple with len 2, but its second element is '
'not an int or a float; markevery=%s' % (markevery,))
elif isinstance(markevery, slice):
# mazol tov, it's already a slice, just return
return Path(verts[markevery], _slice_or_none(codes, markevery))
elif iterable(markevery):
#fancy indexing
try:
return Path(verts[markevery], _slice_or_none(codes, markevery))
except (ValueError, IndexError):
raise ValueError('`markevery` is iterable but '
'not a valid form of numpy fancy indexing; '
'markevery=%s' % (markevery,))
else:
raise ValueError('Value of `markevery` is not '
'recognized; '
'markevery=%s' % (markevery,))
[docs]@cbook._define_aliases({
"antialiased": ["aa"],
"color": ["c"],
"linestyle": ["ls"],
"linewidth": ["lw"],
"markeredgecolor": ["mec"],
"markeredgewidth": ["mew"],
"markerfacecolor": ["mfc"],
"markerfacecoloralt": ["mfcalt"],
"markersize": ["ms"],
})
class Line2D(Artist):
"""
A line - the line can have both a solid linestyle connecting all
the vertices, and a marker at each vertex. Additionally, the
drawing of the solid line is influenced by the drawstyle, e.g., one
can create "stepped" lines in various styles.
"""
lineStyles = _lineStyles = { # hidden names deprecated
'-': '_draw_solid',
'--': '_draw_dashed',
'-.': '_draw_dash_dot',
':': '_draw_dotted',
'None': '_draw_nothing',
' ': '_draw_nothing',
'': '_draw_nothing',
}
_drawStyles_l = {
'default': '_draw_lines',
'steps-mid': '_draw_steps_mid',
'steps-pre': '_draw_steps_pre',
'steps-post': '_draw_steps_post',
}
_drawStyles_s = {
'steps': '_draw_steps_pre',
}
# drawStyles should now be deprecated.
drawStyles = {**_drawStyles_l, **_drawStyles_s}
# Need a list ordered with long names first:
drawStyleKeys = [*_drawStyles_l, *_drawStyles_s]
# Referenced here to maintain API. These are defined in
# MarkerStyle
markers = MarkerStyle.markers
filled_markers = MarkerStyle.filled_markers
fillStyles = MarkerStyle.fillstyles
zorder = 2
validCap = ('butt', 'round', 'projecting')
validJoin = ('miter', 'round', 'bevel')
def __str__(self):
if self._label != "":
return "Line2D(%s)" % (self._label)
elif self._x is None:
return "Line2D()"
elif len(self._x) > 3:
return "Line2D((%g,%g),(%g,%g),...,(%g,%g))"\
% (self._x[0], self._y[0], self._x[0],
self._y[0], self._x[-1], self._y[-1])
else:
return "Line2D(%s)"\
% (",".join(["(%g,%g)" % (x, y) for x, y
in zip(self._x, self._y)]))
def __init__(self, xdata, ydata,
linewidth=None, # all Nones default to rc
linestyle=None,
color=None,
marker=None,
markersize=None,
markeredgewidth=None,
markeredgecolor=None,
markerfacecolor=None,
markerfacecoloralt='none',
fillstyle=None,
antialiased=None,
dash_capstyle=None,
solid_capstyle=None,
dash_joinstyle=None,
solid_joinstyle=None,
pickradius=5,
drawstyle=None,
markevery=None,
**kwargs
):
"""
Create a :class:`~matplotlib.lines.Line2D` instance with *x*
and *y* data in sequences *xdata*, *ydata*.
The kwargs are :class:`~matplotlib.lines.Line2D` properties:
%(Line2D)s
See :meth:`set_linestyle` for a description of the line styles,
:meth:`set_marker` for a description of the markers, and
:meth:`set_drawstyle` for a description of the draw styles.
"""
Artist.__init__(self)
#convert sequences to numpy arrays
if not iterable(xdata):
raise RuntimeError('xdata must be a sequence')
if not iterable(ydata):
raise RuntimeError('ydata must be a sequence')
if linewidth is None:
linewidth = rcParams['lines.linewidth']
if linestyle is None:
linestyle = rcParams['lines.linestyle']
if marker is None:
marker = rcParams['lines.marker']
if markerfacecolor is None:
markerfacecolor = rcParams['lines.markerfacecolor']
if markeredgecolor is None:
markeredgecolor = rcParams['lines.markeredgecolor']
if color is None:
color = rcParams['lines.color']
if markersize is None:
markersize = rcParams['lines.markersize']
if antialiased is None:
antialiased = rcParams['lines.antialiased']
if dash_capstyle is None:
dash_capstyle = rcParams['lines.dash_capstyle']
if dash_joinstyle is None:
dash_joinstyle = rcParams['lines.dash_joinstyle']
if solid_capstyle is None:
solid_capstyle = rcParams['lines.solid_capstyle']
if solid_joinstyle is None:
solid_joinstyle = rcParams['lines.solid_joinstyle']
if isinstance(linestyle, str):
ds, ls = self._split_drawstyle_linestyle(linestyle)
if ds is not None and drawstyle is not None and ds != drawstyle:
raise ValueError("Inconsistent drawstyle ({!r}) and linestyle "
"({!r})".format(drawstyle, linestyle))
linestyle = ls
if ds is not None:
drawstyle = ds
if drawstyle is None:
drawstyle = 'default'
self._dashcapstyle = None
self._dashjoinstyle = None
self._solidjoinstyle = None
self._solidcapstyle = None
self.set_dash_capstyle(dash_capstyle)
self.set_dash_joinstyle(dash_joinstyle)
self.set_solid_capstyle(solid_capstyle)
self.set_solid_joinstyle(solid_joinstyle)
self._linestyles = None
self._drawstyle = None
self._linewidth = linewidth
# scaled dash + offset
self._dashSeq = None
self._dashOffset = 0
# unscaled dash + offset
# this is needed scaling the dash pattern by linewidth
self._us_dashSeq = None
self._us_dashOffset = 0
self.set_linewidth(linewidth)
self.set_linestyle(linestyle)
self.set_drawstyle(drawstyle)
self._color = None
self.set_color(color)
self._marker = MarkerStyle(marker, fillstyle)
self._markevery = None
self._markersize = None
self._antialiased = None
self.set_markevery(markevery)
self.set_antialiased(antialiased)
self.set_markersize(markersize)
self._markeredgecolor = None
self._markeredgewidth = None
self._markerfacecolor = None
self._markerfacecoloralt = None
self.set_markerfacecolor(markerfacecolor)
self.set_markerfacecoloralt(markerfacecoloralt)
self.set_markeredgecolor(markeredgecolor)
self.set_markeredgewidth(markeredgewidth)
self.verticalOffset = None
# update kwargs before updating data to give the caller a
# chance to init axes (and hence unit support)
self.update(kwargs)
self.pickradius = pickradius
self.ind_offset = 0
if isinstance(self._picker, Number):
self.pickradius = self._picker
self._xorig = np.asarray([])
self._yorig = np.asarray([])
self._invalidx = True
self._invalidy = True
self._x = None
self._y = None
self._xy = None
self._path = None
self._transformed_path = None
self._subslice = False
self._x_filled = None # used in subslicing; only x is needed
self.set_data(xdata, ydata)
[docs] def contains(self, mouseevent):
"""
Test whether the mouse event occurred on the line. The pick
radius determines the precision of the location test (usually
within five points of the value). Use
:meth:`~matplotlib.lines.Line2D.get_pickradius` or
:meth:`~matplotlib.lines.Line2D.set_pickradius` to view or
modify it.
Returns *True* if any values are within the radius along with
``{'ind': pointlist}``, where *pointlist* is the set of points
within the radius.
TODO: sort returned indices by distance
"""
if callable(self._contains):
return self._contains(self, mouseevent)
if not isinstance(self.pickradius, Number):
raise ValueError("pick radius should be a distance")
# Make sure we have data to plot
if self._invalidy or self._invalidx:
self.recache()
if len(self._xy) == 0:
return False, {}
# Convert points to pixels
transformed_path = self._get_transformed_path()
path, affine = transformed_path.get_transformed_path_and_affine()
path = affine.transform_path(path)
xy = path.vertices
xt = xy[:, 0]
yt = xy[:, 1]
# Convert pick radius from points to pixels
if self.figure is None:
warnings.warn('no figure set when check if mouse is on line')
pixels = self.pickradius
else:
pixels = self.figure.dpi / 72. * self.pickradius
# the math involved in checking for containment (here and inside of
# segment_hits) assumes that it is OK to overflow. In case the
# application has set the error flags such that an exception is raised
# on overflow, we temporarily set the appropriate error flags here and
# set them back when we are finished.
with np.errstate(all='ignore'):
# Check for collision
if self._linestyle in ['None', None]:
# If no line, return the nearby point(s)
d = (xt - mouseevent.x) ** 2 + (yt - mouseevent.y) ** 2
ind, = np.nonzero(np.less_equal(d, pixels ** 2))
else:
# If line, return the nearby segment(s)
ind = segment_hits(mouseevent.x, mouseevent.y, xt, yt, pixels)
if self._drawstyle.startswith("steps"):
ind //= 2
ind += self.ind_offset
# Return the point(s) within radius
return len(ind) > 0, dict(ind=ind)
[docs] def get_pickradius(self):
"""return the pick radius used for containment tests"""
return self.pickradius
[docs] def set_pickradius(self, d):
"""Set the pick radius used for containment tests.
Parameters
----------
d : float
Pick radius, in points.
"""
self.pickradius = d
[docs] def get_fillstyle(self):
"""
return the marker fillstyle
"""
return self._marker.get_fillstyle()
[docs] def set_fillstyle(self, fs):
"""
Set the marker fill style; 'full' means fill the whole marker.
'none' means no filling; other options are for half-filled markers.
Parameters
----------
fs : {'full', 'left', 'right', 'bottom', 'top', 'none'}
"""
self._marker.set_fillstyle(fs)
self.stale = True
[docs] def set_markevery(self, every):
"""Set the markevery property to subsample the plot when using markers.
e.g., if `every=5`, every 5-th marker will be plotted.
Parameters
----------
every: None or int or (int, int) or slice or List[int] or float or \
(float, float)
Which markers to plot.
- every=None, every point will be plotted.
- every=N, every N-th marker will be plotted starting with
marker 0.
- every=(start, N), every N-th marker, starting at point
start, will be plotted.
- every=slice(start, end, N), every N-th marker, starting at
point start, up to but not including point end, will be plotted.
- every=[i, j, m, n], only markers at points i, j, m, and n
will be plotted.
- every=0.1, (i.e. a float) then markers will be spaced at
approximately equal distances along the line; the distance
along the line between markers is determined by multiplying the
display-coordinate distance of the axes bounding-box diagonal
by the value of every.
- every=(0.5, 0.1) (i.e. a length-2 tuple of float), the
same functionality as every=0.1 is exhibited but the first
marker will be 0.5 multiplied by the
display-cordinate-diagonal-distance along the line.
Notes
-----
Setting the markevery property will only show markers at actual data
points. When using float arguments to set the markevery property
on irregularly spaced data, the markers will likely not appear evenly
spaced because the actual data points do not coincide with the
theoretical spacing between markers.
When using a start offset to specify the first marker, the offset will
be from the first data point which may be different from the first
the visible data point if the plot is zoomed in.
If zooming in on a plot when using float arguments then the actual
data points that have markers will change because the distance between
markers is always determined from the display-coordinates
axes-bounding-box-diagonal regardless of the actual axes data limits.
"""
if self._markevery != every:
self.stale = True
self._markevery = every
[docs] def set_picker(self, p):
"""Sets the event picker details for the line.
Parameters
----------
p : float or callable[[Artist, Event], Tuple[bool, dict]]
If a float, it is used as the pick radius in points.
"""
if callable(p):
self._contains = p
else:
self.pickradius = p
self._picker = p
[docs] def get_window_extent(self, renderer):
bbox = Bbox([[0, 0], [0, 0]])
trans_data_to_xy = self.get_transform().transform
bbox.update_from_data_xy(trans_data_to_xy(self.get_xydata()),
ignore=True)
# correct for marker size, if any
if self._marker:
ms = (self._markersize / 72.0 * self.figure.dpi) * 0.5
bbox = bbox.padded(ms)
return bbox
@Artist.axes.setter
def axes(self, ax):
# call the set method from the base-class property
Artist.axes.fset(self, ax)
if ax is not None:
# connect unit-related callbacks
if ax.xaxis is not None:
self._xcid = ax.xaxis.callbacks.connect('units',
self.recache_always)
if ax.yaxis is not None:
self._ycid = ax.yaxis.callbacks.connect('units',
self.recache_always)
[docs] def set_data(self, *args):
"""
Set the x and y data
ACCEPTS: 2D array (rows are x, y) or two 1D arrays
"""
if len(args) == 1:
x, y = args[0]
else:
x, y = args
self.set_xdata(x)
self.set_ydata(y)
[docs] def recache(self, always=False):
if always or self._invalidx:
xconv = self.convert_xunits(self._xorig)
x = _to_unmasked_float_array(xconv).ravel()
else:
x = self._x
if always or self._invalidy:
yconv = self.convert_yunits(self._yorig)
y = _to_unmasked_float_array(yconv).ravel()
else:
y = self._y
self._xy = np.column_stack(np.broadcast_arrays(x, y)).astype(float)
self._x, self._y = self._xy.T # views
self._subslice = False
if (self.axes and len(x) > 1000 and self._is_sorted(x) and
self.axes.name == 'rectilinear' and
self.axes.get_xscale() == 'linear' and
self._markevery is None and
self.get_clip_on() is True):
self._subslice = True
nanmask = np.isnan(x)
if nanmask.any():
self._x_filled = self._x.copy()
indices = np.arange(len(x))
self._x_filled[nanmask] = np.interp(indices[nanmask],
indices[~nanmask], self._x[~nanmask])
else:
self._x_filled = self._x
if self._path is not None:
interpolation_steps = self._path._interpolation_steps
else:
interpolation_steps = 1
xy = STEP_LOOKUP_MAP[self._drawstyle](*self._xy.T)
self._path = Path(np.asarray(xy).T,
_interpolation_steps=interpolation_steps)
self._transformed_path = None
self._invalidx = False
self._invalidy = False
def _transform_path(self, subslice=None):
"""
Puts a TransformedPath instance at self._transformed_path;
all invalidation of the transform is then handled by the
TransformedPath instance.
"""
# Masked arrays are now handled by the Path class itself
if subslice is not None:
xy = STEP_LOOKUP_MAP[self._drawstyle](*self._xy[subslice, :].T)
_path = Path(np.asarray(xy).T,
_interpolation_steps=self._path._interpolation_steps)
else:
_path = self._path
self._transformed_path = TransformedPath(_path, self.get_transform())
def _get_transformed_path(self):
"""
Return the :class:`~matplotlib.transforms.TransformedPath` instance
of this line.
"""
if self._transformed_path is None:
self._transform_path()
return self._transformed_path
[docs] def set_transform(self, t):
"""
set the Transformation instance used by this artist
Parameters
----------
t : matplotlib.transforms.Transform
"""
Artist.set_transform(self, t)
self._invalidx = True
self._invalidy = True
self.stale = True
def _is_sorted(self, x):
"""return True if x is sorted in ascending order"""
# We don't handle the monotonically decreasing case.
return _path.is_sorted(x)
[docs] @allow_rasterization
def draw(self, renderer):
"""draw the Line with `renderer` unless visibility is False"""
if not self.get_visible():
return
if self._invalidy or self._invalidx:
self.recache()
self.ind_offset = 0 # Needed for contains() method.
if self._subslice and self.axes:
x0, x1 = self.axes.get_xbound()
i0, = self._x_filled.searchsorted([x0], 'left')
i1, = self._x_filled.searchsorted([x1], 'right')
subslice = slice(max(i0 - 1, 0), i1 + 1)
self.ind_offset = subslice.start
self._transform_path(subslice)
else:
subslice = None
if self.get_path_effects():
from matplotlib.patheffects import PathEffectRenderer
renderer = PathEffectRenderer(self.get_path_effects(), renderer)
renderer.open_group('line2d', self.get_gid())
if self._lineStyles[self._linestyle] != '_draw_nothing':
tpath, affine = (self._get_transformed_path()
.get_transformed_path_and_affine())
if len(tpath.vertices):
gc = renderer.new_gc()
self._set_gc_clip(gc)
lc_rgba = mcolors.to_rgba(self._color, self._alpha)
gc.set_foreground(lc_rgba, isRGBA=True)
gc.set_antialiased(self._antialiased)
gc.set_linewidth(self._linewidth)
if self.is_dashed():
cap = self._dashcapstyle
join = self._dashjoinstyle
else:
cap = self._solidcapstyle
join = self._solidjoinstyle
gc.set_joinstyle(join)
gc.set_capstyle(cap)
gc.set_snap(self.get_snap())
if self.get_sketch_params() is not None:
gc.set_sketch_params(*self.get_sketch_params())
gc.set_dashes(self._dashOffset, self._dashSeq)
renderer.draw_path(gc, tpath, affine.frozen())
gc.restore()
if self._marker and self._markersize > 0:
gc = renderer.new_gc()
self._set_gc_clip(gc)
gc.set_linewidth(self._markeredgewidth)
gc.set_antialiased(self._antialiased)
ec_rgba = mcolors.to_rgba(
self.get_markeredgecolor(), self._alpha)
fc_rgba = mcolors.to_rgba(
self._get_markerfacecolor(), self._alpha)
fcalt_rgba = mcolors.to_rgba(
self._get_markerfacecolor(alt=True), self._alpha)
# If the edgecolor is "auto", it is set according to the *line*
# color but inherits the alpha value of the *face* color, if any.
if (cbook._str_equal(self._markeredgecolor, "auto")
and not cbook._str_lower_equal(
self.get_markerfacecolor(), "none")):
ec_rgba = ec_rgba[:3] + (fc_rgba[3],)
gc.set_foreground(ec_rgba, isRGBA=True)
if self.get_sketch_params() is not None:
scale, length, randomness = self.get_sketch_params()
gc.set_sketch_params(scale/2, length/2, 2*randomness)
marker = self._marker
# Markers *must* be drawn ignoring the drawstyle (but don't pay the
# recaching if drawstyle is already "default").
if self.get_drawstyle() != "default":
with cbook._setattr_cm(
self, _drawstyle="default", _transformed_path=None):
self.recache()
self._transform_path(subslice)
tpath, affine = (self._get_transformed_path()
.get_transformed_path_and_affine())
else:
tpath, affine = (self._get_transformed_path()
.get_transformed_path_and_affine())
if len(tpath.vertices):
# subsample the markers if markevery is not None
markevery = self.get_markevery()
if markevery is not None:
subsampled = _mark_every_path(markevery, tpath,
affine, self.axes.transAxes)
else:
subsampled = tpath
snap = marker.get_snap_threshold()
if isinstance(snap, Real):
snap = renderer.points_to_pixels(self._markersize) >= snap
gc.set_snap(snap)
gc.set_joinstyle(marker.get_joinstyle())
gc.set_capstyle(marker.get_capstyle())
marker_path = marker.get_path()
marker_trans = marker.get_transform()
w = renderer.points_to_pixels(self._markersize)
if cbook._str_equal(marker.get_marker(), ","):
gc.set_linewidth(0)
else:
# Don't scale for pixels, and don't stroke them
marker_trans = marker_trans.scale(w)
renderer.draw_markers(gc, marker_path, marker_trans,
subsampled, affine.frozen(),
fc_rgba)
alt_marker_path = marker.get_alt_path()
if alt_marker_path:
alt_marker_trans = marker.get_alt_transform()
alt_marker_trans = alt_marker_trans.scale(w)
renderer.draw_markers(
gc, alt_marker_path, alt_marker_trans, subsampled,
affine.frozen(), fcalt_rgba)
gc.restore()
renderer.close_group('line2d')
self.stale = False
[docs] def get_markeredgecolor(self):
mec = self._markeredgecolor
if cbook._str_equal(mec, 'auto'):
if rcParams['_internal.classic_mode']:
if self._marker.get_marker() in ('.', ','):
return self._color
if self._marker.is_filled() and self.get_fillstyle() != 'none':
return 'k' # Bad hard-wired default...
return self._color
else:
return mec
def _get_markerfacecolor(self, alt=False):
fc = self._markerfacecoloralt if alt else self._markerfacecolor
if cbook._str_lower_equal(fc, 'auto'):
if self.get_fillstyle() == 'none':
return 'none'
else:
return self._color
else:
return fc
[docs] def get_data(self, orig=True):
"""
Return the xdata, ydata.
If *orig* is *True*, return the original data.
"""
return self.get_xdata(orig=orig), self.get_ydata(orig=orig)
[docs] def get_xdata(self, orig=True):
"""
Return the xdata.
If *orig* is *True*, return the original data, else the
processed data.
"""
if orig:
return self._xorig
if self._invalidx:
self.recache()
return self._x
[docs] def get_ydata(self, orig=True):
"""
Return the ydata.
If *orig* is *True*, return the original data, else the
processed data.
"""
if orig:
return self._yorig
if self._invalidy:
self.recache()
return self._y
[docs] def get_path(self):
"""
Return the :class:`~matplotlib.path.Path` object associated
with this line.
"""
if self._invalidy or self._invalidx:
self.recache()
return self._path
[docs] def get_xydata(self):
"""
Return the *xy* data as a Nx2 numpy array.
"""
if self._invalidy or self._invalidx:
self.recache()
return self._xy
[docs] def set_antialiased(self, b):
"""
Set whether to use antialiased rendering.
Parameters
----------
b : bool
"""
if self._antialiased != b:
self.stale = True
self._antialiased = b
[docs] def set_color(self, color):
"""
Set the color of the line
Parameters
----------
color : color
"""
self._color = color
self.stale = True
[docs] def set_drawstyle(self, drawstyle):
"""
Set the drawstyle of the plot
'default' connects the points with lines. The steps variants
produce step-plots. 'steps' is equivalent to 'steps-pre' and
is maintained for backward-compatibility.
Parameters
----------
drawstyle : {'default', 'steps', 'steps-pre', 'steps-mid', \
'steps-post'}
"""
if drawstyle is None:
drawstyle = 'default'
if drawstyle not in self.drawStyles:
raise ValueError('Unrecognized drawstyle {!r}'.format(drawstyle))
if self._drawstyle != drawstyle:
self.stale = True
# invalidate to trigger a recache of the path
self._invalidx = True
self._drawstyle = drawstyle
[docs] def set_linewidth(self, w):
"""
Set the line width in points
Parameters
----------
w : float
"""
w = float(w)
if self._linewidth != w:
self.stale = True
self._linewidth = w
# rescale the dashes + offset
self._dashOffset, self._dashSeq = _scale_dashes(
self._us_dashOffset, self._us_dashSeq, self._linewidth)
def _split_drawstyle_linestyle(self, ls):
'''Split drawstyle from linestyle string
If `ls` is only a drawstyle default to returning a linestyle
of '-'.
Parameters
----------
ls : str
The linestyle to be processed
Returns
-------
ret_ds : str or None
If the linestyle string does not contain a drawstyle prefix
return None, otherwise return it.
ls : str
The linestyle with the drawstyle (if any) stripped.
'''
for ds in self.drawStyleKeys: # long names are first in the list
if ls.startswith(ds):
return ds, ls[len(ds):] or '-'
return None, ls
[docs] def set_linestyle(self, ls):
"""
Set the linestyle of the line (also accepts drawstyles,
e.g., ``'steps--'``)
=========================== =================
linestyle description
=========================== =================
``'-'`` or ``'solid'`` solid line
``'--'`` or ``'dashed'`` dashed line
``'-.'`` or ``'dashdot'`` dash-dotted line
``':'`` or ``'dotted'`` dotted line
``'None'`` draw nothing
``' '`` draw nothing
``''`` draw nothing
=========================== =================
'steps' is equivalent to 'steps-pre' and is maintained for
backward-compatibility.
Alternatively a dash tuple of the following form can be provided::
(offset, onoffseq),
where ``onoffseq`` is an even length tuple of on and off ink in points.
.. seealso::
:meth:`set_drawstyle`
To set the drawing style (stepping) of the plot.
Parameters
----------
ls : {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
The line style.
"""
if isinstance(ls, str):
ds, ls = self._split_drawstyle_linestyle(ls)
if ds is not None:
self.set_drawstyle(ds)
if ls in [' ', '', 'none']:
ls = 'None'
if ls not in self._lineStyles:
try:
ls = ls_mapper_r[ls]
except KeyError:
raise ValueError("Invalid linestyle {!r}; see docs of "
"Line2D.set_linestyle for valid values"
.format(ls))
self._linestyle = ls
else:
self._linestyle = '--'
# get the unscaled dashes
self._us_dashOffset, self._us_dashSeq = _get_dash_pattern(ls)
# compute the linewidth scaled dashes
self._dashOffset, self._dashSeq = _scale_dashes(
self._us_dashOffset, self._us_dashSeq, self._linewidth)
[docs] @docstring.dedent_interpd
def set_marker(self, marker):
"""
Set the line marker.
Parameters
----------
marker: marker style
See `~matplotlib.markers` for full description of possible
arguments.
"""
self._marker.set_marker(marker)
self.stale = True
[docs] def set_markeredgecolor(self, ec):
"""
Set the marker edge color.
Parameters
----------
ec : color
"""
if ec is None:
ec = 'auto'
if (self._markeredgecolor is None
or np.any(self._markeredgecolor != ec)):
self.stale = True
self._markeredgecolor = ec
[docs] def set_markeredgewidth(self, ew):
"""
Set the marker edge width in points.
Parameters
----------
ew : float
"""
if ew is None:
ew = rcParams['lines.markeredgewidth']
if self._markeredgewidth != ew:
self.stale = True
self._markeredgewidth = ew
[docs] def set_markerfacecolor(self, fc):
"""
Set the marker face color.
Parameters
----------
fc : color
"""
if fc is None:
fc = 'auto'
if np.any(self._markerfacecolor != fc):
self.stale = True
self._markerfacecolor = fc
[docs] def set_markerfacecoloralt(self, fc):
"""
Set the alternate marker face color.
Parameters
----------
fc : color
"""
if fc is None:
fc = 'auto'
if np.any(self._markerfacecoloralt != fc):
self.stale = True
self._markerfacecoloralt = fc
[docs] def set_markersize(self, sz):
"""
Set the marker size in points.
Parameters
----------
sz : float
"""
sz = float(sz)
if self._markersize != sz:
self.stale = True
self._markersize = sz
[docs] def set_xdata(self, x):
"""
Set the data array for x.
Parameters
----------
x : 1D array
"""
self._xorig = x
self._invalidx = True
self.stale = True
[docs] def set_ydata(self, y):
"""
Set the data array for y.
Parameters
----------
y : 1D array
"""
self._yorig = y
self._invalidy = True
self.stale = True
[docs] def set_dashes(self, seq):
"""
Set the dash sequence, sequence of dashes with on off ink in
points. If seq is empty or if seq = (None, None), the
linestyle will be set to solid.
Parameters
----------
seq : sequence of floats (on/off ink in points) or (None, None)
"""
if seq == (None, None) or len(seq) == 0:
self.set_linestyle('-')
else:
self.set_linestyle((0, seq))
[docs] def update_from(self, other):
"""copy properties from other to self"""
Artist.update_from(self, other)
self._linestyle = other._linestyle
self._linewidth = other._linewidth
self._color = other._color
self._markersize = other._markersize
self._markerfacecolor = other._markerfacecolor
self._markerfacecoloralt = other._markerfacecoloralt
self._markeredgecolor = other._markeredgecolor
self._markeredgewidth = other._markeredgewidth
self._dashSeq = other._dashSeq
self._us_dashSeq = other._us_dashSeq
self._dashOffset = other._dashOffset
self._us_dashOffset = other._us_dashOffset
self._dashcapstyle = other._dashcapstyle
self._dashjoinstyle = other._dashjoinstyle
self._solidcapstyle = other._solidcapstyle
self._solidjoinstyle = other._solidjoinstyle
self._linestyle = other._linestyle
self._marker = MarkerStyle(other._marker.get_marker(),
other._marker.get_fillstyle())
self._drawstyle = other._drawstyle
[docs] def set_dash_joinstyle(self, s):
"""
Set the join style for dashed linestyles.
Parameters
----------
s : {'miter', 'round', 'bevel'}
"""
s = s.lower()
if s not in self.validJoin:
raise ValueError('set_dash_joinstyle passed "%s";\n' % (s,)
+ 'valid joinstyles are %s' % (self.validJoin,))
if self._dashjoinstyle != s:
self.stale = True
self._dashjoinstyle = s
[docs] def set_solid_joinstyle(self, s):
"""
Set the join style for solid linestyles.
Parameters
----------
s : {'miter', 'round', 'bevel'}
"""
s = s.lower()
if s not in self.validJoin:
raise ValueError('set_solid_joinstyle passed "%s";\n' % (s,)
+ 'valid joinstyles are %s' % (self.validJoin,))
if self._solidjoinstyle != s:
self.stale = True
self._solidjoinstyle = s
[docs] def get_dash_joinstyle(self):
"""
Get the join style for dashed linestyles
"""
return self._dashjoinstyle
[docs] def get_solid_joinstyle(self):
"""
Get the join style for solid linestyles
"""
return self._solidjoinstyle
[docs] def set_dash_capstyle(self, s):
"""
Set the cap style for dashed linestyles.
Parameters
----------
s : {'butt', 'round', 'projecting'}
"""
s = s.lower()
if s not in self.validCap:
raise ValueError('set_dash_capstyle passed "%s";\n' % (s,)
+ 'valid capstyles are %s' % (self.validCap,))
if self._dashcapstyle != s:
self.stale = True
self._dashcapstyle = s
[docs] def set_solid_capstyle(self, s):
"""
Set the cap style for solid linestyles.
Parameters
----------
s : {'butt', 'round', 'projecting'}
"""
s = s.lower()
if s not in self.validCap:
raise ValueError('set_solid_capstyle passed "%s";\n' % (s,)
+ 'valid capstyles are %s' % (self.validCap,))
if self._solidcapstyle != s:
self.stale = True
self._solidcapstyle = s
[docs] def get_dash_capstyle(self):
"""
Get the cap style for dashed linestyles
"""
return self._dashcapstyle
[docs] def get_solid_capstyle(self):
"""
Get the cap style for solid linestyles
"""
return self._solidcapstyle
[docs] def is_dashed(self):
'return True if line is dashstyle'
return self._linestyle in ('--', '-.', ':')
[docs]class VertexSelector(object):
"""
Manage the callbacks to maintain a list of selected vertices for
:class:`matplotlib.lines.Line2D`. Derived classes should override
:meth:`~matplotlib.lines.VertexSelector.process_selected` to do
something with the picks.
Here is an example which highlights the selected verts with red
circles::
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.lines as lines
class HighlightSelected(lines.VertexSelector):
def __init__(self, line, fmt='ro', **kwargs):
lines.VertexSelector.__init__(self, line)
self.markers, = self.axes.plot([], [], fmt, **kwargs)
def process_selected(self, ind, xs, ys):
self.markers.set_data(xs, ys)
self.canvas.draw()
fig, ax = plt.subplots()
x, y = np.random.rand(2, 30)
line, = ax.plot(x, y, 'bs-', picker=5)
selector = HighlightSelected(line)
plt.show()
"""
def __init__(self, line):
"""
Initialize the class with a :class:`matplotlib.lines.Line2D`
instance. The line should already be added to some
:class:`matplotlib.axes.Axes` instance and should have the
picker property set.
"""
if line.axes is None:
raise RuntimeError('You must first add the line to the Axes')
if line.get_picker() is None:
raise RuntimeError('You must first set the picker property '
'of the line')
self.axes = line.axes
self.line = line
self.canvas = self.axes.figure.canvas
self.cid = self.canvas.mpl_connect('pick_event', self.onpick)
self.ind = set()
[docs] def process_selected(self, ind, xs, ys):
"""
Default "do nothing" implementation of the
:meth:`process_selected` method.
*ind* are the indices of the selected vertices. *xs* and *ys*
are the coordinates of the selected vertices.
"""
pass
[docs] def onpick(self, event):
"""When the line is picked, update the set of selected indices."""
if event.artist is not self.line:
return
self.ind ^= set(event.ind)
ind = sorted(self.ind)
xdata, ydata = self.line.get_data()
self.process_selected(ind, xdata[ind], ydata[ind])
lineStyles = Line2D._lineStyles
lineMarkers = MarkerStyle.markers
drawStyles = Line2D.drawStyles
fillStyles = MarkerStyle.fillstyles
docstring.interpd.update(Line2D=artist.kwdoc(Line2D))
# You can not set the docstring of an instancemethod,
# but you can on the underlying function. Go figure.
docstring.dedent_interpd(Line2D.__init__)