Module « matplotlib.pyplot »
Signature de la fonction errorbar
def 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)
Description
errorbar.__doc__
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 : float or array-like
The data positions.
xerr, yerr : float 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.
Note that all error arrays should have *positive* values.
See :doc:`/gallery/statistics/errorbar_features`
for an example on the usage of ``xerr`` and ``yerr``.
fmt : str, 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 : color, default: None
The color of the errorbar lines. If None, use the color of the
line connecting the markers.
elinewidth : float, default: None
The linewidth of the errorbar lines. If None, the linewidth of
the current style is used.
capsize : float, default: :rc:`errorbar.capsize`
The length of the error bar caps in points.
capthick : float, 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, default: False
If True, will plot the errorbars above the plot
symbols. Default is below.
lolims, uplims, xlolims, xuplims : bool, 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, `~.Axes.set_xlim` or `~.Axes.set_ylim` must be called before
:meth:`errorbar`. 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!
errorevery : int 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
----------------
**kwargs
All other keyword arguments are passed on to the `~.Axes.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 `.Line2D` properties:
Properties:
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: scalar or None
animated: bool
antialiased or aa: bool
clip_box: `.Bbox`
clip_on: bool
clip_path: Patch or (Path, Transform) or None
color or c: color
contains: unknown
dash_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
dash_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
dashes: sequence of floats (on/off ink in points) or (None, None)
data: (2, N) array or two 1D arrays
drawstyle or ds: {'default', 'steps', 'steps-pre', 'steps-mid', 'steps-post'}, default: 'default'
figure: `.Figure`
fillstyle: {'full', 'left', 'right', 'bottom', 'top', 'none'}
gid: str
in_layout: bool
label: object
linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...}
linewidth or lw: float
marker: marker style string, `~.path.Path` or `~.markers.MarkerStyle`
markeredgecolor or mec: color
markeredgewidth or mew: float
markerfacecolor or mfc: color
markerfacecoloralt or mfcalt: color
markersize or ms: float
markevery: None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool]
path_effects: `.AbstractPathEffect`
picker: float or callable[[Artist, Event], tuple[bool, dict]]
pickradius: float
rasterized: bool
sketch_params: (scale: float, length: float, randomness: float)
snap: bool or None
solid_capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}
solid_joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}
transform: `matplotlib.transforms.Transform`
url: str
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 can also be string ``s``, which is
interpreted as ``data[s]`` (unless this raises an exception):
*x*, *y*, *xerr*, *yerr*.
Objects passed as **data** must support item access (``data[s]``) and
membership test (``s in data``).
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