dataset._data_plot._DataArrayPlotterGrid2D

dataset._data_plot._DataArrayPlotterGrid2D(self, da)

Plot a DataArray with a Grid2D geometry

If DataArray has multiple time steps, the first step will be plotted.

Examples

import mikeio
da = mikeio.read("../data/gebco_sound.dfs2")["Elevation"]
da.plot()

Methods

Name	Description
contour	Plot data as contour lines
contourf	Plot data as filled contours
hist	Plot DataArray as histogram (using ax.hist)
line	Plot data as lines (timeseries if time is present)
pcolormesh	Plot data as coloured patches

contour

dataset._data_plot._DataArrayPlotterGrid2D.contour(
    ax=None
    figsize=None
    title=None
    **kwargs
)

Plot data as contour lines

Examples

da = mikeio.read("../data/gebco_sound.dfs2")["Elevation"]
da.plot.contour()

contourf

dataset._data_plot._DataArrayPlotterGrid2D.contourf(
    ax=None
    figsize=None
    title=None
    label=None
    **kwargs
)

Plot data as filled contours

Examples

da = mikeio.read("../data/gebco_sound.dfs2")["Elevation"]
da.plot.contourf()

hist

dataset._data_plot._DataArrayPlotterGrid2D.hist(
    ax=None
    figsize=None
    title=None
    **kwargs
)

Plot DataArray as histogram (using ax.hist)

Parameters

Name	Type	Description	Default
bins	(int or sequence or str)	If bins is an integer, it defines the number of equal-width bins in the range. If bins is a sequence, it defines the bin edges, including the left edge of the first bin and the right edge of the last bin. by default: rcParams["hist.bins"] (default: 10)	required
ax	Axes | None	Adding to existing axis, instead of creating new fig	None
figsize	tuple[float, float] | None	specify size of figure	None
title	str | None	axes title	None

See Also

matplotlib.pyplot.hist

Returns

Name	Type	Description
	<matplotlib.axes>

line

dataset._data_plot._DataArrayPlotterGrid2D.line(ax=None, figsize=None, **kwargs)

Plot data as lines (timeseries if time is present)

pcolormesh

dataset._data_plot._DataArrayPlotterGrid2D.pcolormesh(
    ax=None
    figsize=None
    title=None
    label=None
    **kwargs
)

Plot data as coloured patches

Examples

da = mikeio.read("../data/gebco_sound.dfs2")["Elevation"]
da.plot.pcolormesh()