oceanspy.plot.vertical_section

oceanspy.plot.vertical_section(od, varName, plotType='pcolormesh', use_dist=True, subsampMethod=None, contourName=None, meanAxes=False, intAxes=False, contour_kwargs=None, clabel_kwargs=None, subsamp_kwargs=None, cutout_kwargs=None, **kwargs)[source]

Plot vertical section.

Parameters:

od: OceanDataset: oceandataset used to plot.
varName: str, None: Name of the variable to plot.
plotType: str: 2D plot type. Options: {‘contourf’, ‘contour’, ‘imshow’, ‘pcolormesh’}
use_dist: bool: If True, use distances for x axis. If False, use mooring or station.
subsampMethod: str, None: Subsample method. Options: {‘mooring_array’, ‘survey_station’}
contourName: str, None: Name of the variable to contour on top.
meanAxes: 1D array_like, str, or bool: List of axes over which to apply oceanspy.compute.weighted_mean(). If True, set meanAxes= oceanspy.OceanDataset.grid_coords. If False, skip weighted mean.
intAxes: 1D array_like, str, or bool: List of axes over which to apply oceanspy.compute.integral(). If True, set intAxes= oceanspy.OceanDataset.grid_coords. If False, skip integral.
contour_kwargs: dict: Keyword arguments for xarray.plot.contour()
clabel_kwargs: dict: Keyword arguments for matplotlib.pyplot.clabel()
subsamp_kwargs: dict: Keyword arguments for oceanspy.subsample.mooring_array() or oceanspy.subsample.survey_stations()
cutout_kwargs: dict: Keyword arguments for oceanspy.subsample.cutout()
**kwargs:: Kewyword arguments for xarray.plot.plotType

Returns:

matplotlib.pyplot.axes or xarray.plot.FacetGrid