dataset._data_plot._DataArrayPlotterFMVerticalColumn

dataset._data_plot._DataArrayPlotterFMVerticalColumn(self, da)

Plot a DataArray with a GeometryFMVerticalColumn geometry

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

Examples

import mikeio
ds = mikeio.read("../data/oresund_sigma_z.dfsu")
dsp = ds.sel(x=333934.1, y=6158101.5)
da = dsp["Temperature"]
da.plot()

da.plot(extrapolate=False, marker='o')

da.plot.pcolormesh()

da.plot.hist()

(array([1., 0., 0., 1., 1., 0., 1., 4., 1., 3.]),
 array([17.02435303, 17.08300972, 17.14166641, 17.2003231 , 17.2589798 ,
        17.3176384 , 17.37629509, 17.43495178, 17.49360847, 17.55226517,
        17.61092186]),
 <BarContainer object of 10 artists>)

Methods

Name	Description
hist	Plot DataArray as histogram (using ax.hist)
line	Plot data as vertical lines
pcolormesh	Plot data as coloured patches

hist

dataset._data_plot._DataArrayPlotterFMVerticalColumn.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`

Returns

Name	Type	Description
	<matplotlib.axes>

line

dataset._data_plot._DataArrayPlotterFMVerticalColumn.line(
    ax=None
    figsize=None
    extrapolate=True
    **kwargs
)

Plot data as vertical lines

pcolormesh

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

Plot data as coloured patches