The data positions.

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 rowcontains the lower errors, the second row contains the uppererrors.

None: No errorbar.

All values must be >= 0.

See Different ways of specifying error barsfor an example on the usage of xerr and yerr.

The format for the data points / data lines. See plot fordetails.

Use 'none' (case-insensitive) to plot errorbars without any datamarkers.

The color of the errorbar lines. If None, use the color of theline connecting the markers.

The linewidth of the errorbar lines. If None, the linewidth ofthe current style is used.

The length of the error bar caps in points.

An alias to the keyword argument markeredgewidth (a.k.a. mew).This setting is a more sensible name for the property thatcontrols the thickness of the error bar cap in points. Forbackwards compatibility, if mew or markeredgewidth are given,then they will over-ride capthick. This may change in futurereleases.

If True, will plot the errorbars above the plotsymbols. Default is below.

These arguments can be used to indicate that a value gives onlyupper/lower limits. In that case a caret symbol is used toindicate this. lims-arguments may be scalars, or array-likes ofthe same length as xerr and yerr. To use limits with invertedaxes, set_xlim or set_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 theTrue value, so, only an upward-pointing arrow will be drawn!

draws error bars on a subset of the data. errorevery =N drawserror 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-axisvalues.