dataset._DataArrayPlotterGrid1D

dataset._DataArrayPlotterGrid1D(self, da)

Plot a DataArray with a Grid1D geometry.

Examples

import mikeio
da = mikeio.read("../data/tide1.dfs1")["Level"]
da.plot()

da.plot.timeseries()

Methods

Name	Description
hist	Plot DataArray as histogram (using ax.hist).
imshow	Plot as 2d.
line	Plot as spatial lines.
pcolormesh	Plot multiple lines as 2d color plot.
timeseries	Plot as timeseries.

hist

dataset._DataArrayPlotterGrid1D.hist(
    bins=None,
    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)	None
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
**kwargs	Any	additional arguments passed to the plotting function	{}

See Also

matplotlib.pyplot.hist

Returns

Name	Type	Description
	<matplotlib.axes>

imshow

dataset._DataArrayPlotterGrid1D.imshow(ax=None, figsize=None, **kwargs)

Plot as 2d.

line

dataset._DataArrayPlotterGrid1D.line(ax=None, figsize=None, **kwargs)

Plot as spatial lines.

pcolormesh

dataset._DataArrayPlotterGrid1D.pcolormesh(
    ax=None,
    figsize=None,
    title=None,
    **kwargs,
)

Plot multiple lines as 2d color plot.

timeseries

dataset._DataArrayPlotterGrid1D.timeseries(ax=None, figsize=None, **kwargs)

Plot as timeseries.