matplotlib.axes.Axes.errorbar#
- Axes.errorbar(x, y, yerr=None, xerr=None, fmt='', ecolor=None, elinewidth=None, capsize=None, barsabove=False, lolims=False, uplims=False, xlolims=False, xuplims=False, errorevery=1, capthick=None, *, data=None, **kwargs)[source]#
Plot y versus x as lines and/or markers with attached errorbars.
x, y define the data locations, xerr, yerr define the errorbar sizes. By default, this draws the data markers/lines as well the errorbars. Use fmt='none' to draw errorbars without any data markers.
- Parameters:
- x, yfloat or array-like
The data positions.
- xerr, yerrfloat or array-like, shape(N,) or shape(2, N), optional
The errorbar sizes:
scalar: Symmetric +/- values for all data points.
shape(N,): Symmetric +/-values for each data point.
shape(2, N): Separate - and + values for each bar. First row contains the lower errors, the second row contains the upper errors.
None: No errorbar.
All values must be >= 0.
See Different ways of specifying error bars for an example on the usage of
xerr
andyerr
.- fmtstr, default: ''
The format for the data points / data lines. See
plot
for details.Use 'none' (case insensitive) to plot errorbars without any data markers.
- ecolorcolor, default: None
The color of the errorbar lines. If None, use the color of the line connecting the markers.
- elinewidthfloat, default: None
The linewidth of the errorbar lines. If None, the linewidth of the current style is used.
- capsizefloat, default:
rcParams["errorbar.capsize"]
(default:0.0
) The length of the error bar caps in points.
- capthickfloat, default: None
An alias to the keyword argument markeredgewidth (a.k.a. mew). This setting is a more sensible name for the property that controls the thickness of the error bar cap in points. For backwards compatibility, if mew or markeredgewidth are given, then they will over-ride capthick. This may change in future releases.
- barsabovebool, default: False
If True, will plot the errorbars above the plot symbols. Default is below.
- lolims, uplims, xlolims, xuplimsbool, default: False
These arguments can be used to indicate that a value gives only upper/lower limits. In that case a caret symbol is used to indicate this. lims-arguments may be scalars, or array-likes of the same length as xerr and yerr. To use limits with inverted axes,
set_xlim
orset_ylim
must be called beforeerrorbar()
. Note the tricky parameter names: setting e.g. lolims to True means that the y-value is a lower limit of the True value, so, only an upward-pointing arrow will be drawn!- erroreveryint or (int, int), default: 1
draws error bars on a subset of the data. errorevery =N draws error bars on the points (x[::N], y[::N]). errorevery =(start, N) draws error bars on the points (x[start::N], y[start::N]). e.g. errorevery=(6, 3) adds error bars to the data at (x[6], x[9], x[12], x[15], ...). Used to avoid overlapping error bars when two series share x-axis values.
- Returns:
ErrorbarContainer
The container contains:
plotline:
Line2D
instance of x, y plot markers and/or line.caplines: A tuple of
Line2D
instances of the error bar caps.barlinecols: A tuple of
LineCollection
with the horizontal and vertical error ranges.
- Other Parameters:
- dataindexable object, optional
If given, the following parameters also accept a string
s
, which is interpreted asdata[s]
(unless this raises an exception):x, y, xerr, yerr
- **kwargs
All other keyword arguments are passed on to the
plot
call drawing the markers. For example, this code makes big red squares with thick green edges:x, y, yerr = rand(3, 10) errorbar(x, y, yerr, marker='s', mfc='red', mec='green', ms=20, mew=4)
where mfc, mec, ms and mew are aliases for the longer property names, markerfacecolor, markeredgecolor, markersize and markeredgewidth.
Valid kwargs for the marker properties are:
dashes
dash_capstyle
dash_joinstyle
drawstyle
fillstyle
linestyle
marker
markeredgecolor
markeredgewidth
markerfacecolor
markerfacecoloralt
markersize
markevery
solid_capstyle
solid_joinstyle
Refer to the corresponding
Line2D
property for more details:Property
Description
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
scalar or None
bool
antialiased
or aabool
bool
Patch or (Path, Transform) or None
color
or ccolor
CapStyle
or {'butt', 'projecting', 'round'}JoinStyle
or {'miter', 'round', 'bevel'}sequence of floats (on/off ink in points) or (None, None)
(2, N) array or two 1D arrays
drawstyle
or ds{'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
{'full', 'left', 'right', 'bottom', 'top', 'none'}
color or None
str
bool
object
linestyle
or ls{'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
linewidth
or lwfloat
marker style string,
Path
orMarkerStyle
markeredgecolor
or meccolor
markeredgewidth
or mewfloat
markerfacecolor
or mfccolor
markerfacecoloralt
or mfcaltcolor
markersize
or msfloat
None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
bool
float or callable[[Artist, Event], tuple[bool, dict]]
unknown
bool
(scale: float, length: float, randomness: float)
bool or None
CapStyle
or {'butt', 'projecting', 'round'}JoinStyle
or {'miter', 'round', 'bevel'}unknown
str
bool
1D array
1D array
float
Examples using matplotlib.axes.Axes.errorbar
#
Different ways of specifying error bars
Including upper and lower limits in error bars
Creating boxes from error bars using PatchCollection