@header@
 
 
matplotlib.lines
index
/home/jdhunter/dev/lib64/python2.5/site-packages/matplotlib/lines.py

This module contains all the 2D line class which can draw with a
variety of line styles, markers and colors

 
Modules
       
matplotlib.artist
numpy.ma
numpy

 
Classes
       
matplotlib.artist.Artist(__builtin__.object)
Line2D
VertexSelector

 
class Line2D(matplotlib.artist.Artist)
    
Method resolution order:
Line2D
matplotlib.artist.Artist
__builtin__.object

Methods defined here:
__init__(self, xdata, ydata, linewidth=None, linestyle=None, color=None, marker=None, markersize=None, markeredgewidth=None, markeredgecolor=None, markerfacecolor=None, antialiased=None, dash_capstyle=None, solid_capstyle=None, dash_joinstyle=None, solid_joinstyle=None, pickradius=5, **kwargs)
Create a :class:`~matplotlib.lines.Line2D` instance with *x*
and *y* data in sequences *xdata*, *ydata*.
 
The kwargs are Line2D properties:
 
  ======================   ====================================================================================================
  Property                 Description                                                                                         
  ======================   ====================================================================================================
  alpha                    float                                                                                               
  animated                 [True | False]                                                                                      
  antialiased or aa        [True | False]                                                                                      
  axes                     unknown                                                                                             
  clip_box                 a :class:`matplotlib.transform.Bbox` instance                                                       
  clip_on                  [True | False]                                                                                      
  clip_path                a :class:`~matplotlib.path.Path` instance and a                                                     
  color or c               any matplotlib color                                                                                
  contains                 unknown                                                                                             
  dash_capstyle            ['butt' | 'round' | 'projecting']                                                                   
  dash_joinstyle           ['miter' | 'round' | 'bevel']                                                                       
  dashes                   sequence of on/off ink in points                                                                    
  data                     (np.array xdata, np.array ydata)                                                                    
  figure                   a :class:`matplotlib.figure.Figure` instance                                                        
  label                    any string                                                                                          
  linestyle or ls          [ '-' | '--' | '-.' | ':' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post' | 'None' | ' ' | '' ]
  linewidth or lw          float value in points                                                                               
  lod                      [True | False]                                                                                      
  marker                   [ '+' | ',' | '.' | '1' | '2' | '3' | '4'                                                           
  markeredgecolor or mec   any matplotlib color                                                                                
  markeredgewidth or mew   float value in points                                                                               
  markerfacecolor or mfc   any matplotlib color                                                                                
  markersize or ms         float                                                                                               
  picker                   unknown                                                                                             
  pickradius               unknown                                                                                             
  solid_capstyle           ['butt' | 'round' |  'projecting']                                                                  
  solid_joinstyle          ['miter' | 'round' | 'bevel']                                                                       
  transform                a matplotlib.transforms.Transform instance                                                          
  visible                  [True | False]                                                                                      
  xdata                    np.array                                                                                            
  ydata                    np.array                                                                                            
  zorder                   any number                                                                                          
  ======================   ====================================================================================================
__str__(self)
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`/: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
draw(self, renderer)
get_aa(self)
alias for get_antialiased
get_antialiased(self)
get_c(self)
alias for get_color
get_color(self)
get_dash_capstyle(self)
Get the cap style for dashed linestyles
get_dash_joinstyle(self)
Get the join style for dashed linestyles
get_data(self, orig=True)
Return the xdata, ydata.
 
If *orig* is *True*, return the original data
get_linestyle(self)
get_linewidth(self)
get_ls(self)
alias for get_linestyle
get_lw(self)
alias for get_linewidth
get_marker(self)
get_markeredgecolor(self)
get_markeredgewidth(self)
get_markerfacecolor(self)
get_markersize(self)
get_mec(self)
alias for get_markeredgecolor
get_mew(self)
alias for get_markeredgewidth
get_mfc(self)
alias for get_markerfacecolor
get_ms(self)
alias for get_markersize
get_path(self)
Return the :class:`~matplotlib.path.Path` object associated
with this line.
get_pickradius(self)
return the pick radius used for containment tests
get_solid_capstyle(self)
Get the cap style for solid linestyles
get_solid_joinstyle(self)
Get the join style for solid linestyles
get_window_extent(self, renderer)
get_xdata(self, orig=True)
Return the xdata.
 
If *orig* is *True*, return the original data, else the
processed data.
get_xydata(self)
Return the *xy* data as a Nx2 numpy array.
get_ydata(self, orig=True)
Return the ydata.
 
If *orig* is *True*, return the original data, else the
processed data.
is_dashed(self)
return True if line is dashstyle
recache(self)
set_aa(self, val)
alias for set_antialiased
set_antialiased(self, b)
True if line should be drawin with antialiased rendering
 
ACCEPTS: [True | False]
set_axes(self, ax)
set_c(self, val)
alias for set_color
set_color(self, color)
Set the color of the line
 
ACCEPTS: any matplotlib color
set_dash_capstyle(self, s)
Set the cap style for dashed linestyles
 
ACCEPTS: ['butt' | 'round' | 'projecting']
set_dash_joinstyle(self, s)
Set the join style for dashed linestyles
ACCEPTS: ['miter' | 'round' | 'bevel']
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.
 
ACCEPTS: sequence of on/off ink in points
set_data(self, *args)
Set the x and y data
 
ACCEPTS: (np.array xdata, np.array ydata)
set_linestyle(self, linestyle)
Set the linestyle of the line
 
'steps' is equivalent to 'steps-pre' and is maintained for
backward-compatibility.
 
ACCEPTS: [ '-' | '--' | '-.' | ':' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post' | 'None' | ' ' | '' ]
set_linewidth(self, w)
Set the line width in points
 
ACCEPTS: float value in points
set_ls(self, val)
alias for set_linestyle
set_lw(self, val)
alias for set_linewidth
set_marker(self, marker)
Set the line marker
 
ACCEPTS: [ '+' | ',' | '.' | '1' | '2' | '3' | '4'
         | '<' | '>' | 'D' | 'H' | '^' | '_' | 'd'
         | 'h' | 'o' | 'p' | 's' | 'v' | 'x' | '|'
         | TICKUP | TICKDOWN | TICKLEFT | TICKRIGHT
         | 'None' | ' ' | '' ]
set_markeredgecolor(self, ec)
Set the marker edge color
 
ACCEPTS: any matplotlib color
set_markeredgewidth(self, ew)
Set the marker edge width in points
 
ACCEPTS: float value in points
set_markerfacecolor(self, fc)
Set the marker face color
 
ACCEPTS: any matplotlib color
set_markersize(self, sz)
Set the marker size in points
 
ACCEPTS: float
set_mec(self, val)
alias for set_markeredgecolor
set_mew(self, val)
alias for set_markeredgewidth
set_mfc(self, val)
alias for set_markerfacecolor
set_ms(self, val)
alias for set_markersize
set_picker(self, p)
Sets the event picker details for the line.
 
Accepts: float distance in points or callable pick function fn(artist,event)
set_pickradius(self, d)
Sets the pick radius used for containment tests
 
Accepts: float distance in points.
set_solid_capstyle(self, s)
Set the cap style for solid linestyles
 
ACCEPTS: ['butt' | 'round' |  'projecting']
set_solid_joinstyle(self, s)
Set the join style for solid linestyles
ACCEPTS: ['miter' | 'round' | 'bevel']
set_transform(self, t)
set the Transformation instance used by this artist
 
ACCEPTS: a matplotlib.transforms.Transform instance
set_xdata(self, x)
Set the data np.array for x
 
ACCEPTS: np.array
set_ydata(self, y)
Set the data np.array for y
 
ACCEPTS: np.array
update_from(self, other)
copy properties from other to self

Data and other attributes defined here:
filled_markers = ('o', '^', 'v', '<', '>', 's', 'd', 'D', 'h', 'H', 'p')
lineStyles = {'': '_draw_nothing', ' ': '_draw_nothing', '-': '_draw_solid', '--': '_draw_dashed', '-.': '_draw_dash_dot', ':': '_draw_dotted', 'None': '_draw_nothing', 'steps': '_draw_steps_pre', 'steps-mid': '_draw_steps_mid', 'steps-post': '_draw_steps_post', ...}
markers = {0: '_draw_tickleft', 1: '_draw_tickright', 2: '_draw_tickup', 3: '_draw_tickdown', 4: '_draw_caretleft', 5: '_draw_caretright', 6: '_draw_caretup', 7: '_draw_caretdown', '': '_draw_nothing', ' ': '_draw_nothing', ...}
validCap = ('butt', 'round', 'projecting')
validJoin = ('miter', 'round', 'bevel')
zorder = 2

Methods inherited from matplotlib.artist.Artist:
add_callback(self, func)
convert_xunits(self, x)
for artists in an axes, if the xaxis as units support,
convert *x* using xaxis unit type
convert_yunits(self, y)
for artists in an axes, if the yaxis as units support,
convert *y* using yaxis unit type
findobj(self, match=None)
pyplot signature:
  findobj(o=gcf(), match=None) 
 
recursively find all :class:matplotlib.artist.Artist instances
contained in self
 
*match* can be
 
  - None: return all objects contained in artist (including artist)
 
  - function with signature ``boolean = match(artist)`` used to filter matches
 
  - class instance: eg Line2D.  Only return artists of class type
 
.. plot:: ../mpl_examples/pylab_examples/findobj_demo.py
get_alpha(self)
Return the alpha value used for blending - not supported on all
backends
get_animated(self)
return the artist's animated state
get_axes(self)
return the axes instance the artist resides in, or *None*
get_clip_box(self)
Return artist clipbox
get_clip_on(self)
Return whether artist uses clipping
get_clip_path(self)
Return artist clip path
get_contains(self)
return the _contains test used by the artist, or *None* for default.
get_figure(self)
Return the :class:`~matplotlib.figure.Figure` instance the
artist belongs to.
get_label(self)
get_picker(self)
return the Pickeration instance used by this artist
get_transform(self)
Return the :class:`~matplotlib.transforms.Transform`
instance used by this artist.
get_transformed_clip_path_and_affine(self)
Return the clip path with the non-affine part of its
transformation applied, and the remaining affine part of its
transformation.
get_visible(self)
return the artist's visiblity
get_zorder(self)
have_units(self)
return *True* if units are set on the x or y axes
hitlist(self, event)
List the children of the artist which contain the mouse event
is_figure_set(self)
is_transform_set(self)
Artist has transform explicity let
pchanged(self)
fire event when property changed
pick(self, mouseevent)
call signature::
 
  pick(mouseevent)
 
each child artist will fire a pick event if *mouseevent* is over
the artist and the artist has picker set
pickable(self)
return *True* if self is pickable
remove(self)
Remove the artist from the figure if possible.  The effect
will not be visible until the figure is redrawn, e.g., with
:meth:`matplotlib.axes.Axes.draw_idle`.  Call
:meth:`matplotlib.axes.Axes.relim` to update the axes limits
if desired.
 
Note: :meth:`~matplotlib.axes.Axes.relim` will not see
collections even if the collection was added to axes with
*autolim* = True.
 
Note: there is no support for removing the artist's legend entry.
remove_callback(self, oid)
set(self, **kwargs)
A tkstyle set command, pass *kwargs* to set properties
set_alpha(self, alpha)
Set the alpha value used for blending - not supported on
all backends
 
ACCEPTS: float
set_animated(self, b)
set the artist's animation state
 
ACCEPTS: [True | False]
set_clip_box(self, clipbox)
Set the artist's clip Bbox
 
ACCEPTS: a :class:`matplotlib.transform.Bbox` instance
set_clip_on(self, b)
Set  whether artist uses clipping
 
ACCEPTS: [True | False]
set_clip_path(self, path, transform=None)
Set the artist's clip path, which may be:
 
  * a :class:`~matplotlib.patches.Patch` (or subclass) instance
 
  * a :class:`~matplotlib.path.Path` instance, in which case
     an optional :class:`~matplotlib.transforms.Transform`
     instance may be provided, which will be applied to the
     path before using it for clipping.
 
  * *None*, to remove the clipping path
 
For efficiency, if the path happens to be an axis-aligned
rectangle, this method will set the clipping box to the
corresponding rectangle and set the clipping path to *None*.
 
ACCEPTS: a :class:`~matplotlib.path.Path` instance and a
:class:`~matplotlib.transforms.Transform` instance, a
:class:`~matplotlib.patches.Patch` instance, or *None*.
set_contains(self, picker)
Replace the contains test used by this artist. The new picker should
be a callable function which determines whether the artist is hit by the
mouse event::
 
    hit, props = picker(artist, mouseevent)
 
If the mouse event is over the artist, return *hit=True* and *props*
is a dictionary of properties you want returned with the contains test.
set_figure(self, fig)
Set the :class:`~matplotlib.figure.Figure` instance the artist
belongs to.
 
ACCEPTS: a :class:`matplotlib.figure.Figure` instance
set_label(self, s)
Set the line label to *s* for auto legend
 
ACCEPTS: any string
set_lod(self, on)
Set Level of Detail on or off.  If on, the artists may examine
things like the pixel width of the axes and draw a subset of
their contents accordingly
 
ACCEPTS: [True | False]
set_visible(self, b)
set the artist's visiblity
 
ACCEPTS: [True | False]
set_zorder(self, level)
Set the zorder for the artist
 
ACCEPTS: any number
update(self, props)

Data descriptors inherited from matplotlib.artist.Artist:
__dict__
dictionary for instance variables (if defined)
__weakref__
list of weak references to the object (if defined)

Data and other attributes inherited from matplotlib.artist.Artist:
aname = 'Artist'

 
class VertexSelector
    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 = plt.figure()
    ax = fig.add_subplot(111)
    x, y = np.random.rand(2, 30)
    line, = ax.plot(x, y, 'bs-', picker=5)
 
    selector = HighlightSelected(line)
    plt.show()
 
  Methods defined here:
__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.
onpick(self, event)
When the line is picked, update the set of selected indicies.
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.

 
Functions
       
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.
unmasked_index_ranges(mask, compressed=True)
# COVERAGE NOTE: Never called internally or from examples

 
Data
        CARETDOWN = 7
CARETLEFT = 4
CARETRIGHT = 5
CARETUP = 6
TICKDOWN = 3
TICKLEFT = 0
TICKRIGHT = 1
TICKUP = 2
colorConverter = <matplotlib.colors.ColorConverter instance at 0x1499b90>
division = _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)
lineMarkers = {0: '_draw_tickleft', 1: '_draw_tickright', 2: '_draw_tickup', 3: '_draw_tickdown', 4: '_draw_caretleft', 5: '_draw_caretright', 6: '_draw_caretup', 7: '_draw_caretdown', '': '_draw_nothing', ' ': '_draw_nothing', ...}
lineStyles = {'': '_draw_nothing', ' ': '_draw_nothing', '-': '_draw_solid', '--': '_draw_dashed', '-.': '_draw_dash_dot', ':': '_draw_dotted', 'None': '_draw_nothing', 'steps': '_draw_steps_pre', 'steps-mid': '_draw_steps_mid', 'steps-post': '_draw_steps_post', ...}
ls_mapper = {'-': 'solid', '--': 'dashed', '-.': 'dashdot', ':': 'dotted', 'dashdot': '-.', 'dashed': '--', 'dotted': ':', 'solid': '-'}
rcParams = {'figure.subplot.right': 0.90000000000000002, 'm...persize': 'letter', 'svg.embed_char_paths': True}
verbose = <matplotlib.Verbose instance at 0x14bb200>
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