scatter
- mdtools.plot.scatter(ax, x, y, s=None, c=None, xmin=None, xmax=None, ymin=None, ymax=None, logx=False, logy=False, xlabel='$x$', ylabel='$y$', legend_loc='best', **kwargs)[source]
Add a scatter plot to a
matplotlib.axes.Axes
object usingmatplotlib.axes.Axes.scatter()
.Deprecated since version 0.0.0.dev2: Use
matplotlib.axes.Axes.scatter()
,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.s (
scalar
orarray_like
, optional) – The marker size of each individual point.c (
str
orarray_like
, optional) – The marker color of each individual point. See the matplotlib documentation ofmatplotlib.axes.Axes.scatter()
for more information.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 (
int
orstr
, optional) – Position of the legend. Seematplotlib.pyplot.legend()
for possible arguments.kwargs (
dict
, optional) – Keyword arguments to pass tomatplotlib.axes.Axes.scatter()
. See there for possible keyword arguments.
- Returns:
img (
matplotlib.collections.PathCollection
) – Amatplotlib.collections.PathCollection
.