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# 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)

  Plot an errorbar graph.

  Plot x versus y with error deltas in yerr and xerr. Vertical errorbars are plotted if yerr is not None. Horizontal errorbars are plotted if xerr is not None.

  x, y, xerr, and yerr can all be scalars, which plots a single error bar at x, y.

  Parameters: | x : scalar or array-like y : scalar or array-like xerr/yerr : scalar or array-like, shape(N,) or shape(2,N), optional If a scalar number, len(N) array-like object, or a N-element array-like object, errorbars are drawn at +/-value relative to the data. Default is None. If a sequence of shape 2xN, errorbars are drawn at -row1 and +row2 relative to the data. fmt : plot format string, optional, default: None The plot format symbol. If fmt is ‘none’ (case-insensitive), only the errorbars are plotted. This is used for adding errorbars to a bar plot, for example. Default is ”, an empty plot format string; properties are then identical to the defaults for `plot()`. 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, use the linewidth. capsize : scalar, optional, default: None The length of the error bar caps in points; if None, it will take the value from `errorbar.capsize` `rcParam`. capthick : scalar, optional, default: None An alias kwarg to 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: | plotline : `Line2D` instance x, y plot markers and/or line caplines : list of `Line2D` instances error bar cap barlinecols : list of `LineCollection` 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
  > Property | Description
  > --- | ---
  > `agg_filter` | unknown
  > `alpha` | float (0.0 transparent through 1.0 opaque)
  > `animated` | [True | False]
  > `antialiased` or aa | [True | False]
  > `axes` | an `Axes` instance
  > `clip_box` | a `matplotlib.transforms.Bbox` instance
  > `clip_on` | [True | False]
  > `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 `matplotlib.figure.Figure` instance
  > `fillstyle` | [‘full’ | ‘left’ | ‘right’ | ‘bottom’ | ‘top’ | ‘none’]
  > `gid` | an id string
  > `label` | string or anything printable with ‘%s’ conversion.
  > `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` | unknown
  > `picker` | float distance in points or callable pick function `fn(artist, event)`
  > `pickradius` | float distance in points
  > `rasterized` | [True | False | None]
  > `sketch_params` | unknown
  > `snap` | unknown
  > `solid_capstyle` | [‘butt’ | ‘round’ | ‘projecting’]
  > `solid_joinstyle` | [‘miter’ | ‘round’ | ‘bevel’]
  > `transform` | a `matplotlib.transforms.Transform` instance
  > `url` | a url string
  > `visible` | [True | False]
  > `xdata` | 1D array
  > `ydata` | 1D array
  > `zorder` | any number

  Notes

  Error bars with negative values will not be shown when plotted on a logarithmic axis.

  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

Log Demo