polartoolkit.interactive_data

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polartoolkit.interactive_data#

interactive_data(hemisphere=None, epsg=None, coast=True, grid=None, grid_cmap='inferno', points=None, points_z=None, points_color='red', points_cmap='viridis', **kwargs)[source]#

plot points or grids on an interactive map using GeoViews

Parameters:

  • hemisphere (str, optional) – set whether to plot in “north” hemisphere (EPSG:3413) or “south” hemisphere (EPSG:3031), can be set manually, or will read from the environment variable: “POLARTOOLKIT_HEMISPHERE”

  • epsg (str | None, optional) – set which EPSG projection to use for plotting, can be set manually, or will read from the environment variable: “POLARTOOLKIT_EPSG”, by default None

  • coast (bool, optional) – choose whether to plot coastline data, by default True

  • grid (xarray.DataArray, optional) – display a grid on the map, by default None

  • grid_cmap (str, optional) – colormap to use for the grid, by default ‘inferno’

  • points (pandas.DataFrame, optional) – points to display on the map, must have columns ‘x’ and ‘y’, by default None

  • points_z (str, optional) – name of column to color points by, by default None

  • points_color (str, optional) – if no points_z supplied, color to use for all points, by default ‘red’

  • points_cmap (str, optional) – colormap to use for the points, by default ‘viridis’

Returns:

holoview/geoviews map instance

Return type:

holoviews.Overlay

Example

>>> import polartoolkit as ptk
...
>>> bedmap2_bed = ptk.fetch.bedmap2(layer='bed', region=ptk.regions.ross_ice_shelf)
>>> GHF_point_data = ptk.fetch.ghf(version='burton-johnson-2020', points=True)
...
>>> image = ptk.interactive_data(
...    epsg="3031",
...    grid = bedmap2_bed,
...    points = GHF_point_data[['x','y','GHF']],
...    points_z = 'GHF',
...    )
>>> image
Parameters:

kwargs (Any)

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