matplotlib.pyplot.errorbar

matplotlib.pyplot.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, hold=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, y : scalar or array-like The data positions. xerr, yerr : scalar 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. See Different ways of specifying error bars for an example on the usage of xerr and yerr. fmt : plot format string, optional, default: '' The format for the data points / data lines. See plot for details. Use 'none' (case insensitive) to plot errorbars without any data markers. ecolor : mpl color, optional, default: None A matplotlib color arg which gives the color the errorbar lines. If None, use the color of the line connecting the markers. elinewidth : scalar, optional, default: None The linewidth of the errorbar lines. If None, the linewidth of the current style is used. capsize : scalar, optional, default: None The length of the error bar caps in points. If None, it will take the value from rcParams["errorbar.capsize"]. capthick : scalar, optional, 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. barsabove : bool, optional, default: False If True, will plot the errorbars above the plot symbols. Default is below. lolims, uplims, xlolims, xuplims : bool, optional, default: None 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 of the same type as xerr and yerr. To use limits with inverted axes, set_xlim() or set_ylim() must be called before errorbar(). errorevery : positive integer, optional, default: 1 Subsamples the errorbars. e.g., if errorevery=5, errorbars for every 5-th datapoint will be plotted. The data plot itself still shows all data points.
Returns:	container : 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:	**kwargs : All other keyword arguments are passed on to the plot command for 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 Lines2D 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 alpha float (0.0 transparent through 1.0 opaque) animated bool antialiased or aa bool clip_box a Bbox instance clip_on bool clip_path [(Path, Transform) | Patch | None] color or c any matplotlib color contains a callable function dash_capstyle ['butt' | 'round' | 'projecting'] dash_joinstyle ['miter' | 'round' | 'bevel'] dashes sequence of on/off ink in points drawstyle ['default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post'] figure a Figure instance fillstyle ['full' | 'left' | 'right' | 'bottom' | 'top' | 'none'] gid an id string label object linestyle or ls ['solid' | 'dashed', 'dashdot', 'dotted' | (offset, on-off-dash-seq) | '-' | '--' | '-.' | ':' | 'None' | ' ' | ''] linewidth or lw float value in points marker A valid marker style markeredgecolor or mec any matplotlib color markeredgewidth or mew float value in points markerfacecolor or mfc any matplotlib color markerfacecoloralt or mfcalt any matplotlib color markersize or ms float markevery [None | int | length-2 tuple of int | slice | list/array of int | float | length-2 tuple of float] path_effects AbstractPathEffect picker float distance in points or callable pick function fn(artist, event) pickradius float distance in points rasterized bool or None sketch_params (scale: float, length: float, randomness: float) snap bool or None solid_capstyle ['butt' | 'round' | 'projecting'] solid_joinstyle ['miter' | 'round' | 'bevel'] transform a matplotlib.transforms.Transform instance url a url string visible bool xdata 1D array ydata 1D array zorder float

Notes

Note

In addition to the above described arguments, this function can take a data keyword argument. If such a data argument is given, the following arguments are replaced by data[<arg>]:

• All arguments with the following names: 'x', 'xerr', 'y', 'yerr'.

Examples using matplotlib.pyplot.errorbar

Errorbar Limits