# xarray.Dataset.plot.scatter¶

Dataset.plot.scatter(x, y, ax, **kwargs)

Scatter Dataset data variables against each other.

Parameters
• x, y (str) – 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. Variable 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 (str, optional) – If passed, make row faceted plots on this dimension name

• col (str, optional) – If passed, make column faceted plots on this dimension name

• col_wrap (int, optional) – Use together with col to wrap faceted plots

• ax (matplotlib axes object, 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 a size 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 the norm has vmin or vmax specified, the corresponding kwarg must be None.

• vmin, vmax (float, optional) – 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 (str or colormap, optional) – The mapping from data values to color space. Either a matplotlib colormap name or object. If not provided, this will be either viridis (if the function infers a sequential dataset) or RdBu_r (if the function infers a diverging dataset). When Seaborn is installed, cmap may also be a seaborn color palette. If cmap is seaborn color palette and the plot type is not contour or contourf, levels must also be specified.

• colors (color-like or list of color-like, optional) – A single color or a list of colors. If the plot type is not contour or contourf, the levels 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 or vmax 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/or vmax with levels=N is equivalent to setting levels=np.linspace(vmin, vmax, N).

• **kwargs (optional) – Additional keyword arguments to matplotlib