matplotlib.pyplot.axhline
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matplotlib.pyplot.axhline(y=0, xmin=0, xmax=1, **kwargs)[source] -
Add a horizontal line across the axis.
Parameters: -
y : scalar, optional, default: 0 -
y position in data coordinates of the horizontal line.
-
xmin : scalar, optional, default: 0 -
Should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot.
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xmax : scalar, optional, default: 1 -
Should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot.
Returns: -
line : Line2D
Other Parameters: - **kwargs :
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Valid kwargs are
Line2Dproperties, with the exception of 'transform':Property Description agg_filtera filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alphafloat animatedbool antialiasedbool clip_boxBboxclip_onbool clip_path[( Path,Transform) |Patch| None]colorcolor containscallable dash_capstyle{'butt', 'round', 'projecting'} dash_joinstyle{'miter', 'round', 'bevel'} dashessequence of floats (on/off ink in points) or (None, None) drawstyle{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'} figureFigurefillstyle{'full', 'left', 'right', 'bottom', 'top', 'none'} gidstr in_layoutbool labelobject linestyle{'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidthfloat markerunknown markeredgecolorcolor markeredgewidthfloat markerfacecolorcolor markerfacecoloraltcolor markersizefloat markeveryunknown path_effectsAbstractPathEffectpickerfloat or callable[[Artist, Event], Tuple[bool, dict]] pickradiusfloat rasterizedbool or None sketch_params(scale: float, length: float, randomness: float) snapbool or None solid_capstyle{'butt', 'round', 'projecting'} solid_joinstyle{'miter', 'round', 'bevel'} transformmatplotlib.transforms.Transform urlstr visiblebool xdata1D array ydata1D array zorderfloat
See also
Examples
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draw a thick red hline at 'y' = 0 that spans the xrange:
>>> axhline(linewidth=4, color='r')
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draw a default hline at 'y' = 1 that spans the xrange:
>>> axhline(y=1)
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draw a default hline at 'y' = .5 that spans the middle half of the xrange:
>>> axhline(y=.5, xmin=0.25, xmax=0.75)
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Examples using matplotlib.pyplot.axhline
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https://matplotlib.org/3.0.0/api/_as_gen/matplotlib.pyplot.axhline.html