"""

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 __future__ import (absolute_import, division, print_function,

unicode_literals)

import six

import warnings

import numpy as np

from numpy import ma

from matplotlib import verbose

from . import artist

from .artist import Artist

from .cbook import iterable, is_string_like, is_numlike, ls_mapper

from .colors import colorConverter

from .path import Path

from .transforms import Bbox, TransformedPath, IdentityTransform

from matplotlib import rcParams

from .artist import allow_rasterization

from matplotlib import docstring

from matplotlib.markers import MarkerStyle

# Imported here for backward compatibility, even though they don't

# really belong.

from matplotlib.markers import TICKLEFT, TICKRIGHT, TICKUP, TICKDOWN

from matplotlib.markers import CARETLEFT, CARETRIGHT, CARETUP, CARETDOWN

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)

#if any(candidates): print "candidates",xr[candidates]

# 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

#if any(point_hits): print "points",xr[candidates]

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

#if any(line_hits): print "lines",xr[candidates]

line_hits = line_hits & candidates

points, = point_hits.ravel().nonzero()

lines, = line_hits.ravel().nonzero()

#print points,lines

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 a float, assume starting at 0.0 and make a tuple

if isinstance(markevery, float):

markevery = (0.0, markevery)

# if just an int, assume starting at 0 and make a tuple

elif isinstance(markevery, int):

markevery = (0, markevery)

if isinstance(markevery, tuple):

if len(markevery) != 2:

raise ValueError('`markevery` is a tuple but its '

'len is not 2; '

'markevery=%s' % (markevery,))

start, step = markevery

# if step is an int, old behavior

if isinstance(step, int):

#tuple of 2 int is for backwards compatibility,

if not(isinstance(start, int)):

raise ValueError('`markevery` is a tuple with '

'len 2 and second element is an int, but '

'the first element is not an int; '

'markevery=%s' % (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, float):

if not (isinstance(start, int) or

isinstance(start, float)):

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=%s' % (markevery,))

#calc cumulative distance along path (in display

# coords):

disp_coords = affine.transform(tpath.vertices)

delta = np.empty((len(disp_coords), 2),

dtype=float)

delta[0, :] = 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,))

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, eg 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 = {}

drawStyles.update(_drawStyles_l)

drawStyles.update(_drawStyles_s)

# Need a list ordered with long names first:

drawStyleKeys = (list(six.iterkeys(_drawStyles_l)) +

list(six.iterkeys(_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 hasattr(self, '_x') and 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])

elif hasattr(self, '_x'):

return "Line2D(%s)"\

% (",".join(["(%g,%g)" % (x, y) for x, y

in zip(self._x, self._y)]))

else:

return "Line2D()"

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='full',

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 decription 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 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 drawstyle is None:

drawstyle = 'default'

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.set_linestyle(linestyle)

self.set_drawstyle(drawstyle)

self.set_linewidth(linewidth)

self.set_color(color)

self._marker = MarkerStyle()

self.set_marker(marker)

self.set_markevery(markevery)

self.set_antialiased(antialiased)

self.set_markersize(markersize)

self._dashSeq = None

self.set_markerfacecolor(markerfacecolor)

self.set_markerfacecoloralt(markerfacecoloralt)

self.set_markeredgecolor(markeredgecolor)

self.set_markeredgewidth(markeredgewidth)

self.set_fillstyle(fillstyle)

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 is_numlike(self._picker):

self.pickradius = self._picker

self._xorig = np.asarray([])

self._yorig = np.asarray([])

self._invalidx = True

self._invalidy = True

self.set_data(xdata, ydata)

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 six.callable(self._contains):

return self._contains(self, mouseevent)

if not is_numlike(self.pickradius):

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.

olderrflags = np.seterr(all='ignore')

try:

# 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)

finally:

np.seterr(**olderrflags)

ind += self.ind_offset

# Debugging message

if False and self._label != '':

print("Checking line", self._label,

"at", mouseevent.x, mouseevent.y)

print('xt', xt)

print('yt', yt)

#print 'dx,dy', (xt-mouseevent.x)**2., (yt-mouseevent.y)**2.

print('ind', ind)

# Return the point(s) within radius

return len(ind) > 0, dict(ind=ind)

def get_pickradius(self):

"""return the pick radius used for containment tests"""

return self.pickradius

def set_pickradius(self, d):

"""Sets the pick radius used for containment tests

ACCEPTS: float distance in points

"""

self.pickradius = d

def get_fillstyle(self):

"""

return the marker fillstyle

"""

return self._marker.get_fillstyle()

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.

ACCEPTS: ['full' | 'left' | 'right' | 'bottom' | 'top' | 'none']

"""

self._marker.set_fillstyle(fs)

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 | int | length-2 tuple of int | slice | list/array of int |

float | length-2 tuple of 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, upto 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.

"""

self._markevery = every

def get_markevery(self):

"""return the markevery setting"""

return self._markevery

def set_picker(self, p):

"""Sets the event picker details for the line.

ACCEPTS: float distance in points or callable pick function

``fn(artist, event)``

"""

if six.callable(p):

self._contains = p

else:

self.pickradius = p

self._picker = p

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

def set_axes(self, ax):

Artist.set_axes(self, ax)

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)

set_axes.__doc__ = Artist.set_axes.__doc__

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)

def recache_always(self):

self.recache(always=True)

def recache(self, always=False):

if always or self._invalidx:

xconv = self.convert_xunits(self._xorig)

if ma.isMaskedArray(self._xorig):

x = ma.asarray(xconv, np.float_)

else:

x = np.asarray(xconv, np.float_)

x = x.ravel()

else:

x = self._x

if always or self._invalidy:

yconv = self.convert_yunits(self._yorig)

if ma.isMaskedArray(self._yorig):

y = ma.asarray(yconv, np.float_)

else:

y = np.asarray(yconv, np.float_)

y = y.ravel()

else:

y = self._y

if len(x) == 1 and len(y) > 1:

x = x * np.ones(y.shape, np.float_)

if len(y) == 1 and len(x) > 1:

y = y * np.ones(x.shape, np.float_)

if len(x) != len(y):

raise RuntimeError('xdata and ydata must be the same length')

x = x.reshape((len(x), 1))

y = y.reshape((len(y), 1))

if ma.isMaskedArray(x) or ma.isMaskedArray(y):

self._xy = ma.concatenate((x, y), 1)

else:

self._xy = np.concatenate((x, y), 1)

self._x = self._xy[:, 0] # just a view

self._y = self._xy[:, 1] # just a view

self._subslice = False

if (self.axes and len(x) > 100 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

if hasattr(self, '_path'):

interpolation_steps = self._path._interpolation_steps

else:

interpolation_steps = 1

self._path = Path(self._xy, None, 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:

_path = Path(self._xy[subslice, :])

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

def set_transform(self, t):

"""

set the Transformation instance used by this artist

ACCEPTS: a :class:`matplotlib.transforms.Transform` instance

"""

Artist.set_transform(self, t)

self._invalidx = True

self._invalidy = True

def _is_sorted(self, x):

"""return true if x is sorted"""

if len(x) < 2:

return 1

return np.amin(x[1:] - x[0:-1]) >= 0

@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:

# Need to handle monotonically decreasing case also...

x0, x1 = self.axes.get_xbound()

i0, = self._x.searchsorted([x0], 'left')

i1, = self._x.searchsorted([x1], 'right')

subslice = slice(max(i0 - 1, 0), i1 + 1)

self.ind_offset = subslice.start

self._transform_path(subslice)

transf_path = self._get_transformed_path()

if self.get_path_effects():

from matplotlib.patheffects import PathEffectRenderer

renderer = PathEffectRenderer(self.get_path_effects(), renderer)

renderer.open_group('line2d', self.get_gid())

gc = renderer.new_gc()

self._set_gc_clip(gc)

ln_color_rgba = self._get_rgba_ln_color()

gc.set_foreground(ln_color_rgba, isRGBA=True)

gc.set_alpha(ln_color_rgba[3])

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())

funcname = self._lineStyles.get(self._linestyle, '_draw_nothing')

if funcname != '_draw_nothing':

tpath, affine = transf_path.get_transformed_path_and_affine()

if len(tpath.vertices):

self._lineFunc = getattr(self, funcname)

funcname = self.drawStyles.get(self._drawstyle, '_draw_lines')

drawFunc = getattr(self, funcname)

drawFunc(renderer, gc, tpath, affine.frozen())

if self._marker:

gc = renderer.new_gc()

self._set_gc_clip(gc)

rgbaFace = self._get_rgba_face()

rgbaFaceAlt = self._get_rgba_face(alt=True)

edgecolor = self.get_markeredgecolor()

if is_string_like(edgecolor) and edgecolor.lower() == 'none':

gc.set_linewidth(0)

gc.set_foreground(rgbaFace, isRGBA=True)

else:

gc.set_foreground(edgecolor)

gc.set_linewidth(self._markeredgewidth)

marker = self._marker

tpath, affine = transf_path.get_transformed_points_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 type(snap) == float:

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 marker.get_marker() != ',':

# Don't scale for pixels, and don't stroke them

marker_trans = marker_trans.scale(w)

else:

gc.set_linewidth(0)

if rgbaFace is not None:

gc.set_alpha(rgbaFace[3])

renderer.draw_markers(gc, marker_path, marker_trans,

subsampled, affine.frozen(),

rgbaFace)

alt_marker_path = marker.get_alt_path()

if alt_marker_path:

if rgbaFaceAlt is not None:

gc.set_alpha(rgbaFaceAlt[3])

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(), rgbaFaceAlt)

gc.restore()

gc.restore()

renderer.close_group('line2d')

def get_antialiased(self):

return self._antialiased

def get_color(self):

return self._color

def get_drawstyle(self):

return self._drawstyle

def get_linestyle(self):

return self._linestyle

def get_linewidth(self):

return self._linewidth

def get_marker(self):

return self._marker.get_marker()

def get_markeredgecolor(self):

mec = self._markeredgecolor

if (is_string_like(mec) and mec == 'auto'):

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...

else:

return self._color

else:

return mec

def get_markeredgewidth(self):

return self._markeredgewidth

def _get_markerfacecolor(self, alt=False):

if alt:

fc = self._markerfacecoloralt

else:

fc = self._markerfacecolor

if (is_string_like(fc) and fc.lower() == 'auto'):

if self.get_fillstyle() == 'none':

return 'none'

else:

return self._color

else:

return fc

def get_markerfacecolor(self):

return self._get_markerfacecolor(alt=False)

def get_markerfacecoloralt(self):

return self._get_markerfacecolor(alt=True)

def get_markersize(self):

return self._markersize

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)

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

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

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

def get_xydata(self):

"""

Return the *xy* data as a Nx2 numpy array.

"""

if self._invalidy or self._invalidx:

self.recache()

return self._xy

def set_antialiased(self, b):

"""

True if line should be drawin with antialiased rendering

ACCEPTS: [True | False]

"""

self._antialiased = b

def set_color(self, color):

"""

Set the color of the line

ACCEPTS: any matplotlib color

"""

self._color = color

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.

ACCEPTS: ['default' | 'steps' | 'steps-pre' | 'steps-mid' |

'steps-post']

"""

self._drawstyle = drawstyle

def set_linewidth(self, w):

"""

Set the line width in points

ACCEPTS: float value in points

"""

self._linewidth = w

def set_linestyle(self, linestyle):

"""

Set the linestyle of the line (also accepts drawstyles)

================ =================

linestyle description

================ =================

``'-'`` solid

``'--'`` dashed

``'-.'`` dash_dot

``':'`` dotted

``'None'`` draw nothing

``' '`` draw nothing

``''`` draw nothing

================ =================

'steps' is equivalent to 'steps-pre' and is maintained for

backward-compatibility.

.. seealso::

:meth:`set_drawstyle`

To set the drawing style (stepping) of the plot.

ACCEPTS: [``'-'`` | ``'--'`` | ``'-.'`` | ``':'`` | ``'None'`` |

``' '`` | ``''``]

and any drawstyle in combination with a linestyle, e.g., ``'steps--'``.

"""

for ds in self.drawStyleKeys: # long names are first in the list

if linestyle.startswith(ds):

self.set_drawstyle(ds)

if len(linestyle) > len(ds):

linestyle = linestyle[len(ds):]

else:

linestyle = '-'

break

if linestyle not in self._lineStyles:

if linestyle in ls_mapper:

linestyle = ls_mapper[linestyle]

else:

verbose.report('Unrecognized line style %s, %s' %

(linestyle, type(linestyle)))

if linestyle in [' ', '']:

linestyle = 'None'

self._linestyle = linestyle

@docstring.dedent_interpd

def set_marker(self, marker):

"""

Set the line marker

Parameters

-----------

marker: marker style

See `~matplotlib.markers` for full description of possible

argument

"""

self._marker.set_marker(marker)

def set_markeredgecolor(self, ec):

"""

Set the marker edge color

ACCEPTS: any matplotlib color

"""

if ec is None:

ec = 'auto'

self._markeredgecolor = ec

def set_markeredgewidth(self, ew):

"""

Set the marker edge width in points

ACCEPTS: float value in points

"""

if ew is None:

ew = rcParams['lines.markeredgewidth']

self._markeredgewidth = ew

def set_markerfacecolor(self, fc):

"""

Set the marker face color.