polartoolkit.get_combined_min_max

polartoolkit.get_combined_min_max#

get_combined_min_max(values, shapefile=None, robust=False, region=None, hemisphere=None, epsg=None, absolute=False, robust_percentiles=(0.02, 0.98))[source]#

Get a grids max and min values.

Parameters:

  • values (tuple[xarray.DataArray | pandas.Series | numpy.ndarray]) – values to get min and max for

  • shapefile (Union[str or geopandas.GeoDataFrame], optional) – path or loaded shapefile to use for a mask, by default None

  • robust (bool, optional) – choose whether to return the 2nd and 98th percentile values, instead of the min/max

  • region (tuple[float, float, float, float], optional) – give a subset region to get min and max values from, in format [xmin, xmax, ymin, ymax], by default None

  • hemisphere (str, optional,) – if using a shapefile to subset the data, set projection based on “north” or “south” hemispheres, by default None

  • epsg (str | None, optional) – if using a shapefile to subset the data, set projection from EPSG code string (“3031”), by default None

  • absolute (bool, optional) – choose whether to return the absolute min and max values, by default False

  • robust_percentiles (tuple[float, float], optional) – percentiles to use for robust min and max values, by default (0.02, 0.98)

Returns:

returns the min and max values.

Return type:

tuple[float, float]

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