errorbar
- mdtools.plot.errorbar(ax, x, y, xerr=None, yerr=None, xmin=None, xmax=None, ymin=None, ymax=None, logx=False, logy=False, xlabel='$x$', ylabel='$y$', legend_loc='best', **kwargs)[source]
Plot data to a
matplotlib.axes.Axesobject with errorbars usingmatplotlib.axes.Axes.errorbar().Deprecated since version 0.0.0.dev2: Use
matplotlib.axes.Axes.errorbar(),matplotlib.axes.Axes.set()andmatplotlib.axes.Axes.legend()directly.- Parameters:
ax (
matplotlib.axes.Axes) – The axes to draw to.x (
array_like) – One dimensional array containing the x data.y (
array_like) – Array of the same shape as x containing the y data.xerr, yerr (
array_like, optional) – The errorbar sizes.xmin (
scalar, optional) – Left limit for plotting on x-axis. The left limit may be greater than the right limit, in which case the tick values will show up in decreasing order. Default isNone, which means set the limit automatically.xmax (
scalar, optional) – Right limit for plotting on x-axis.ymin, ymax (
scalar, optional) – Same as xmin and xmax, but for the y-axis.logx (
bool, optional) – Use logarithmic x scale.logy (
bool, optional) – Same as logx, but for the y-axis.xlabel (
str, optional) – Label for the x-axis.ylabel (
str, optional) – Label for the y-axis.legend_loc (
intorstr, optional) – Position of the legend. Seematplotlib.pyplot.legend()for possible arguments.kwargs (
dict, optional) – Keyword arguments to pass tomatplotlib.axes.Axes.errorbar(). See there for possible keyword arguments.
- Returns:
img (
ErrorbarContainer) – Amatplotlib.container.ErrorbarContainer.