xarray.plot.contour¶
-
xarray.plot.
contour
(x, y, z, ax, **kwargs)¶ Contour plot of 2d DataArray
Wraps matplotlib.pyplot.contour
Parameters: darray : DataArray
Must be 2 dimensional, unless creating faceted plots
x : string, optional
Coordinate for x axis. If None use darray.dims[1]
y : string, optional
Coordinate for y axis. If None use darray.dims[0]
figsize : tuple, optional
A tuple (width, height) of the figure in inches. Mutually exclusive with
size
andax
.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
.ax : matplotlib axes object, optional
Axis on which to plot this figure. By default, use the current axis. Mutually exclusive with
size
andfigsize
.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 plotsxincrease : None, True, or False, optional
Should the values on the x axes be increasing from left to right? if None, use the default for the matplotlib function
yincrease : None, True, or False, optional
Should the values on the y axes be increasing from top to bottom? if None, use the default for the matplotlib function
add_colorbar : Boolean, optional
Adds colorbar to axis
add_labels : Boolean, optional
Use xarray metadata to label axes
vmin, vmax : floats, 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 : 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)
.infer_intervals : bool, optional
Only applies to pcolormesh. If True, the coordinate intervals are passed to pcolormesh. If False, the original coordinates are used (this can be useful for certain map projections). The default is to always infer intervals, unless the mesh is irregular and plotted on a map projection.
subplot_kws : dict, optional
Dictionary of keyword arguments for matplotlib subplots. Only applies to FacetGrid plotting.
cbar_ax : matplotlib Axes, optional
Axes in which to draw the colorbar.
cbar_kwargs : dict, optional
Dictionary of keyword arguments to pass to the colorbar.
**kwargs : optional
Additional arguments to wrapped matplotlib function
Returns: artist :
The same type of primitive artist that the wrapped matplotlib function returns