matplotlib.lines.Line2D

class matplotlib.lines.Line2D(xdata, ydata, *, linewidth=None, linestyle=None, color=None, gapcolor=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)

Bases: 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.

Create a Line2D instance with x and y data in sequences of xdata, ydata.

Additional keyword arguments are Line2D properties:

Property	Description
agg_filter	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image
alpha	scalar or None
animated	bool
antialiased or aa	bool
clip_box	Bbox
clip_on	bool
clip_path	Patch or (Path, Transform) or None
color or c	color
dash_capstyle	CapStyle or {'butt', 'projecting', 'round'}
dash_joinstyle	JoinStyle or {'miter', 'round', 'bevel'}
dashes	sequence of floats (on/off ink in points) or (None, None)
data	(2, N) array or two 1D arrays
drawstyle or ds	{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
figure	Figure
fillstyle	{'full', 'left', 'right', 'bottom', 'top', 'none'}
gapcolor	color or None
gid	str
in_layout	bool
label	object
linestyle or ls	{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
linewidth or lw	float
marker	marker style string, Path or MarkerStyle
markeredgecolor or mec	color
markeredgewidth or mew	float
markerfacecolor or mfc	color
markerfacecoloralt or mfcalt	color
markersize or ms	float
markevery	None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
mouseover	bool
path_effects	AbstractPathEffect
picker	float or callable[[Artist, Event], tuple[bool, dict]]
pickradius	unknown
rasterized	bool
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
solid_capstyle	CapStyle or {'butt', 'projecting', 'round'}
solid_joinstyle	JoinStyle or {'miter', 'round', 'bevel'}
transform	unknown
url	str
visible	bool
xdata	1D array
ydata	1D array
zorder	float

See set_linestyle() for a description of the line styles, set_marker() for a description of the markers, and set_drawstyle() for a description of the draw styles.

contains(mouseevent)

Test whether mouseevent occurred on the line.

An event is deemed to have occurred "on" the line if it is less than self.pickradius (default: 5 points) away from it. Use get_pickradius or set_pickradius to get or set the pick radius.

Parameters:

mouseeventmatplotlib.backend_bases.MouseEvent

Returns:

containsbool

Whether any values are within the radius.

detailsdict

A dictionary {'ind': pointlist}, where pointlist is a list of points of the line that are within the pickradius around the event position.

TODO: sort returned indices by distance

draw(renderer)

Draw the Artist (and its children) using the given renderer.

This has no effect if the artist is not visible (Artist.get_visible returns False).

Parameters:

rendererRendererBase subclass.

Notes

This method is overridden in the Artist subclasses.

drawStyleKeys = ['default', 'steps-mid', 'steps-pre', 'steps-post', 'steps']

drawStyles = {'default': '_draw_lines', 'steps': '_draw_steps_pre', 'steps-mid': '_draw_steps_mid', 'steps-post': '_draw_steps_post', 'steps-pre': '_draw_steps_pre'}

fillStyles = ('full', 'left', 'right', 'bottom', 'top', 'none')

filled_markers = ('o', 'v', '^', '<', '>', '8', 's', 'p', '*', 'h', 'H', 'D', 'd', 'P', 'X')

get_aa()

Alias for get_antialiased.

get_antialiased()

Return whether antialiased rendering is used.

get_bbox()

Get the bounding box of this line.

get_c()

Alias for get_color.

get_color()

Return the line color.

See also set_color.

get_dash_capstyle()

Return the CapStyle for dashed lines.

See also set_dash_capstyle.

get_dash_joinstyle()

Return the JoinStyle for dashed lines.

See also set_dash_joinstyle.

get_data(orig=True)

Return the line data as an (xdata, ydata) pair.

If orig is True, return the original data.

get_drawstyle()

Return the drawstyle.

See also set_drawstyle.

get_ds()

Alias for get_drawstyle.

get_fillstyle()

Return the marker fill style.

See also set_fillstyle.

get_gapcolor()

Return the line gapcolor.

See also set_gapcolor.

get_linestyle()

Return the linestyle.

See also set_linestyle.

get_linewidth()

Return the linewidth in points.

See also set_linewidth.

get_ls()

Alias for get_linestyle.

get_lw()

Alias for get_linewidth.

get_marker()

Return the line marker.

See also set_marker.

get_markeredgecolor()

Return the marker edge color.

See also set_markeredgecolor.

get_markeredgewidth()

Return the marker edge width in points.

See also set_markeredgewidth.

get_markerfacecolor()

Return the marker face color.

See also set_markerfacecolor.

get_markerfacecoloralt()

Return the alternate marker face color.

See also set_markerfacecoloralt.

get_markersize()

Return the marker size in points.

See also set_markersize.

get_markevery()

Return the markevery setting for marker subsampling.

See also set_markevery.

get_mec()

Alias for get_markeredgecolor.

get_mew()

Alias for get_markeredgewidth.

get_mfc()

Alias for get_markerfacecolor.

get_mfcalt()

Alias for get_markerfacecoloralt.

get_ms()

Alias for get_markersize.

get_path()

Return the Path associated with this line.

get_pickradius()

Return the pick radius used for containment tests.

See contains for more details.

get_solid_capstyle()

Return the CapStyle for solid lines.

See also set_solid_capstyle.

get_solid_joinstyle()

Return the JoinStyle for solid lines.

See also set_solid_joinstyle.

get_window_extent(renderer=None)

Get the artist's bounding box in display space.

The bounding box' width and height are nonnegative.

Subclasses should override for inclusion in the bounding box "tight" calculation. Default is to return an empty bounding box at 0, 0.

Be careful when using this function, the results will not update if the artist window extent of the artist changes. The extent can change due to any changes in the transform stack, such as changing the axes limits, the figure size, or the canvas used (as is done when saving a figure). This can lead to unexpected behavior where interactive figures will look fine on the screen, but will save incorrectly.

get_xdata(orig=True)

Return the xdata.

If orig is True, return the original data, else the processed data.

get_xydata()

Return the xy data as a Nx2 numpy array.

get_ydata(orig=True)

Return the ydata.

If orig is True, return the original data, else the processed data.

is_dashed()

Return whether line has a dashed linestyle.

A custom linestyle is assumed to be dashed, we do not inspect the onoffseq directly.

See also set_linestyle.

lineStyles = {'': '_draw_nothing', ' ': '_draw_nothing', '-': '_draw_solid', '--': '_draw_dashed', '-.': '_draw_dash_dot', ':': '_draw_dotted', 'None': '_draw_nothing'}

markers = {'.': 'point', ',': 'pixel', 'o': 'circle', 'v': 'triangle_down', '^': 'triangle_up', '<': 'triangle_left', '>': 'triangle_right', '1': 'tri_down', '2': 'tri_up', '3': 'tri_left', '4': 'tri_right', '8': 'octagon', 's': 'square', 'p': 'pentagon', '*': 'star', 'h': 'hexagon1', 'H': 'hexagon2', '+': 'plus', 'x': 'x', 'D': 'diamond', 'd': 'thin_diamond', '|': 'vline', '_': 'hline', 'P': 'plus_filled', 'X': 'x_filled', 0: 'tickleft', 1: 'tickright', 2: 'tickup', 3: 'tickdown', 4: 'caretleft', 5: 'caretright', 6: 'caretup', 7: 'caretdown', 8: 'caretleftbase', 9: 'caretrightbase', 10: 'caretupbase', 11: 'caretdownbase', 'None': 'nothing', 'none': 'nothing', ' ': 'nothing', '': 'nothing'}

property pickradius

Return the pick radius used for containment tests.

See contains for more details.

recache(always=False)

recache_always()

set(*, agg_filter=<UNSET>, alpha=<UNSET>, animated=<UNSET>, antialiased=<UNSET>, clip_box=<UNSET>, clip_on=<UNSET>, clip_path=<UNSET>, color=<UNSET>, dash_capstyle=<UNSET>, dash_joinstyle=<UNSET>, dashes=<UNSET>, data=<UNSET>, drawstyle=<UNSET>, fillstyle=<UNSET>, gapcolor=<UNSET>, gid=<UNSET>, in_layout=<UNSET>, label=<UNSET>, linestyle=<UNSET>, linewidth=<UNSET>, marker=<UNSET>, markeredgecolor=<UNSET>, markeredgewidth=<UNSET>, markerfacecolor=<UNSET>, markerfacecoloralt=<UNSET>, markersize=<UNSET>, markevery=<UNSET>, mouseover=<UNSET>, path_effects=<UNSET>, picker=<UNSET>, pickradius=<UNSET>, rasterized=<UNSET>, sketch_params=<UNSET>, snap=<UNSET>, solid_capstyle=<UNSET>, solid_joinstyle=<UNSET>, transform=<UNSET>, url=<UNSET>, visible=<UNSET>, xdata=<UNSET>, ydata=<UNSET>, zorder=<UNSET>)

Set multiple properties at once.

Supported properties are

Property	Description
agg_filter	a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image
alpha	scalar or None
animated	bool
antialiased	bool
clip_box	Bbox
clip_on	bool
clip_path	Patch or (Path, Transform) or None
color	color
dash_capstyle	CapStyle or {'butt', 'projecting', 'round'}
dash_joinstyle	JoinStyle or {'miter', 'round', 'bevel'}
dashes	sequence of floats (on/off ink in points) or (None, None)
data	(2, N) array or two 1D arrays
drawstyle	{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
figure	Figure
fillstyle	{'full', 'left', 'right', 'bottom', 'top', 'none'}
gapcolor	color or None
gid	str
in_layout	bool
label	object
linestyle	{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
linewidth	float
marker	marker style string, Path or MarkerStyle
markeredgecolor	color
markeredgewidth	float
markerfacecolor	color
markerfacecoloralt	color
markersize	float
markevery	None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
mouseover	bool
path_effects	AbstractPathEffect
picker	float or callable[[Artist, Event], tuple[bool, dict]]
pickradius	unknown
rasterized	bool
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
solid_capstyle	CapStyle or {'butt', 'projecting', 'round'}
solid_joinstyle	JoinStyle or {'miter', 'round', 'bevel'}
transform	unknown
url	str
visible	bool
xdata	1D array
ydata	1D array
zorder	float

set_aa(b)

Alias for set_antialiased.

set_antialiased(b)

Set whether to use antialiased rendering.

Parameters:

bbool

set_c(color)

Alias for set_color.

set_color(color)

Set the color of the line.

Parameters:

colorcolor

set_dash_capstyle(s)

How to draw the end caps if the line is is_dashed.

The default capstyle is rcParams["lines.dash_capstyle"] (default: <CapStyle.butt: 'butt'>).

Parameters:

sCapStyle or {'butt', 'projecting', 'round'}

set_dash_joinstyle(s)

How to join segments of the line if it is_dashed.

The default joinstyle is rcParams["lines.dash_joinstyle"] (default: <JoinStyle.round: 'round'>).

Parameters:

sJoinStyle or {'miter', 'round', 'bevel'}

set_dashes(seq)

Set the dash sequence.

The dash sequence is a sequence of floats of even length describing the length of dashes and spaces in points.

For example, (5, 2, 1, 2) describes a sequence of 5 point and 1 point dashes separated by 2 point spaces.

See also set_gapcolor, which allows those spaces to be filled with a color.

Parameters:

seqsequence of floats (on/off ink in points) or (None, None)

If seq is empty or (None, None), the linestyle will be set to solid.

set_data(*args)

Set the x and y data.

Parameters:

*args(2, N) array or two 1D arrays

set_drawstyle(drawstyle)

Set the drawstyle of the plot.

The drawstyle determines how the points are connected.

Parameters:

drawstyle{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'

For 'default', the points are connected with straight lines.

The steps variants connect the points with step-like lines, i.e. horizontal lines with vertical steps. They differ in the location of the step:

• 'steps-pre': The step is at the beginning of the line segment, i.e. the line will be at the y-value of point to the right.

• 'steps-mid': The step is halfway between the points.

• 'steps-post: The step is at the end of the line segment, i.e. the line will be at the y-value of the point to the left.

• 'steps' is equal to 'steps-pre' and is maintained for backward-compatibility.

For examples see Step Demo.

set_ds(drawstyle)

Alias for set_drawstyle.

set_fillstyle(fs)

Set the marker fill style.

Parameters:

fs{'full', 'left', 'right', 'bottom', 'top', 'none'}

Possible values:

• 'full': Fill the whole marker with the markerfacecolor.

• 'left', 'right', 'bottom', 'top': Fill the marker half at the given side with the markerfacecolor. The other half of the marker is filled with markerfacecoloralt.

• 'none': No filling.

For examples see Marker fill styles.

set_gapcolor(gapcolor)

Set a color to fill the gaps in the dashed line style.

Note

Striped lines are created by drawing two interleaved dashed lines. There can be overlaps between those two, which may result in artifacts when using transparency.

This functionality is experimental and may change.

Parameters:

gapcolorcolor or None

The color with which to fill the gaps. If None, the gaps are unfilled.

set_linestyle(ls)

Set the linestyle of the line.

Parameters:

ls{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}

Possible values:

• A string:

  linestyle	description
  '-' or 'solid'	solid line
  '--' or 'dashed'	dashed line
  '-.' or 'dashdot'	dash-dotted line
  ':' or 'dotted'	dotted line
  'none', 'None', ' ', or ''	draw nothing

• 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. See also set_dashes().

For examples see Linestyles.

set_linewidth(w)

Set the line width in points.

Parameters:

wfloat

Line width, in points.

set_ls(ls)

Alias for set_linestyle.

set_lw(w)

Alias for set_linewidth.

set_marker(marker)

Set the line marker.

Parameters:

markermarker style string, Path or MarkerStyle

See markers for full description of possible arguments.

set_markeredgecolor(ec)

Set the marker edge color.

Parameters:

eccolor

set_markeredgewidth(ew)

Set the marker edge width in points.

Parameters:

ewfloat

Marker edge width, in points.

set_markerfacecolor(fc)

Set the marker face color.

Parameters:

fccolor

set_markerfacecoloralt(fc)

Set the alternate marker face color.

Parameters:

fccolor

set_markersize(sz)

Set the marker size in points.

Parameters:

szfloat

Marker size, in points.

set_markevery(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:

everyNone or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]

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 index start, will be plotted.

• every=slice(start, end, N): every N-th marker, starting at index start, up to but not including index end, will be plotted.

• every=[i, j, m, ...]: only markers at the given indices will be plotted.

• every=[True, False, True, ...]: only positions that are True will be plotted. The list must have the same length as the data points.

• every=0.1, (i.e. a float): markers will be spaced at approximately equal visual 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): similar to every=0.1 but the first marker will be offset along the line by 0.5 multiplied by the display-coordinate-diagonal-distance along the line.

For examples see Markevery Demo.

Notes

Setting markevery will still only draw markers at actual data points. While the float argument form aims for uniform visual spacing, it has to coerce from the ideal spacing to the nearest available data point. Depending on the number and distribution of data points, the result may still not look evenly spaced.

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.

set_mec(ec)

Alias for set_markeredgecolor.

set_mew(ew)

Alias for set_markeredgewidth.

set_mfc(fc)

Alias for set_markerfacecolor.

set_mfcalt(fc)

Alias for set_markerfacecoloralt.

set_ms(sz)

Alias for set_markersize.

set_picker(p)

Set the event picker details for the line.

Parameters:

pfloat or callable[[Artist, Event], tuple[bool, dict]]

If a float, it is used as the pick radius in points.

set_pickradius(pickradius)

Set the pick radius used for containment tests.

See contains for more details.

Parameters:

pickradiusfloat

Pick radius, in points.

set_solid_capstyle(s)

How to draw the end caps if the line is solid (not is_dashed)

The default capstyle is rcParams["lines.solid_capstyle"] (default: <CapStyle.projecting: 'projecting'>).

Parameters:

sCapStyle or {'butt', 'projecting', 'round'}

set_solid_joinstyle(s)

How to join segments if the line is solid (not is_dashed).

The default joinstyle is rcParams["lines.solid_joinstyle"] (default: <JoinStyle.round: 'round'>).

Parameters:

sJoinStyle or {'miter', 'round', 'bevel'}

set_transform(t)

Set the artist transform.

Parameters:

tTransform

set_xdata(x)

Set the data array for x.

Parameters:

x1D array

set_ydata(y)

Set the data array for y.

Parameters:

y1D array

update_from(other)

Copy properties from other to self.

zorder = 2

Examples using matplotlib.lines.Line2D

Customizing dashed line styles

Customizing dashed line styles

Stem Plot

Stem Plot

Figure labels: suptitle, supxlabel, supylabel

Figure labels: suptitle, supxlabel, supylabel

Boxplots

Boxplots

Scale invariant angle label

Scale invariant angle label

Annotating Plots

Annotating Plots

Composing Custom Legends

Composing Custom Legends

Annotation arrow style reference

Annotation arrow style reference

Figure legend demo

Figure legend demo

Legend Demo

Legend Demo

Artist within an artist

Artist within an artist

Annotating a plot

Annotating a plot

Annotation Polar

Annotation Polar

Simple axes labels

Simple axes labels

Adding lines to figures

Adding lines to figures

Reference for Matplotlib artists

Reference for Matplotlib artists

PathPatch object

PathPatch object

Parasite Simple

Parasite Simple

Parasite Axes demo

Parasite Axes demo

Parasite axis demo

Parasite axis demo

Stock prices over 32 years

Stock prices over 32 years

Decay

Decay

The double pendulum problem

The double pendulum problem

Animated line plot

Animated line plot

Oscilloscope

Oscilloscope

MATPLOTLIB UNCHAINED

MATPLOTLIB **UNCHAINED**

Cross hair cursor

Cross hair cursor

Data Browser

Data Browser

Legend Picking

Legend Picking

Looking Glass

Looking Glass

Pick Event Demo

Pick Event Demo

Pick Event Demo2

Pick Event Demo2

Poly Editor

Poly Editor

Resampling Data

Resampling Data

Anchored Artists

Anchored Artists

Patheffect Demo

Patheffect Demo

Set and get properties

Set and get properties

SVG Filter Line

SVG Filter Line

SkewT-logP diagram: using transforms and custom projections

SkewT-logP diagram: using transforms and custom projections

Multiple Yaxis With Spines

Multiple Yaxis With Spines

Custom tick formatter for time series

Custom tick formatter for time series

Artist tests

Artist tests

Simple Legend02

Simple Legend02

Annotated Cursor

Annotated Cursor

Buttons

Buttons

Check Buttons

Check Buttons

Radio Buttons

Radio Buttons

Thresholding an Image with RangeSlider

Thresholding an Image with RangeSlider

Slider

Slider

Snapping Sliders to Discrete Values

Snapping Sliders to Discrete Values

Span Selector

Span Selector

Textbox

Textbox

Pyplot tutorial

Pyplot tutorial

Quick start guide

Quick start guide

Artist tutorial

Artist tutorial

Legend guide

Legend guide

Faster rendering by using blitting

Faster rendering by using blitting

Transformations Tutorial

Transformations Tutorial