xarray.plot.scatter¶
-
xarray.plot.
scatter
(ds, x, y, ax, **kwargs)¶ Scatter Dataset data variables against each other.
- Parameters
ds (Dataset) –
y (x,) – Variable names for x, y axis.
hue (str, optional) – Variable by which to color scattered points
hue_style (str, optional) – Can be either ‘discrete’ (legend) or ‘continuous’ (color bar).
markersize (str, optional (scatter only)) – Variably by which to vary size of scattered points
size_norm (optional) – Either None or ‘Norm’ instance to normalize the ‘markersize’ variable.
add_guide (bool, optional) –
- Add a guide that depends on hue_style
for “discrete”, build a legend. This is the default for non-numeric hue variables.
for “continuous”, build a colorbar
row (string, optional) – If passed, make row faceted plots on this dimension name
col (string, optional) – If passed, make column faceted plots on this dimension name
col_wrap (integer, optional) – Use together with
col
to wrap faceted plotsax (matplotlib axes, optional) – If None, uses the current axis. Not applicable when using facets.
subplot_kws (dict, optional) – Dictionary of keyword arguments for matplotlib subplots. Only applies to FacetGrid plotting.
aspect (scalar, optional) – Aspect ratio of plot, so that
aspect * size
gives the width in inches. Only used if asize
is provided.size (scalar, optional) – If provided, create a new figure for the plot with the given size. Height (in inches) of each plot. See also:
aspect
.norm (
matplotlib.colors.Normalize
instance, optional) – If thenorm
has vmin or vmax specified, the corresponding kwarg must be None.vmax (vmin,) – Values to anchor the colormap, otherwise they are inferred from the data and other keyword arguments. When a diverging dataset is inferred, setting one of these values will fix the other by symmetry around
center
. Setting both values prevents use of a diverging colormap. If discrete levels are provided as an explicit list, both of these values are ignored.cmap (matplotlib colormap name or object, optional) – The mapping from data values to color space. If not provided, this will be either be
viridis
(if the function infers a sequential dataset) orRdBu_r
(if the function infers a diverging dataset). When Seaborn is installed,cmap
may also be a seaborn color palette. Ifcmap
is seaborn color palette and the plot type is notcontour
orcontourf
,levels
must also be specified.colors (discrete colors to plot, optional) – A single color or a list of colors. If the plot type is not
contour
orcontourf
, thelevels
argument is required.center (float, optional) – The value at which to center the colormap. Passing this value implies use of a diverging colormap. Setting it to
False
prevents use of a diverging colormap.robust (bool, optional) – If True and
vmin
orvmax
are absent, the colormap range is computed with 2nd and 98th percentiles instead of the extreme values.extend ({'neither', 'both', 'min', 'max'}, optional) – How to draw arrows extending the colorbar beyond its limits. If not provided, extend is inferred from vmin, vmax and the data limits.
levels (int or list-like object, optional) – Split the colormap (cmap) into discrete color intervals. If an integer is provided, “nice” levels are chosen based on the data range: this can imply that the final number of levels is not exactly the expected one. Setting
vmin
and/orvmax
withlevels=N
is equivalent to settinglevels=np.linspace(vmin, vmax, N)
.**kwargs (optional) – Additional keyword arguments to matplotlib