geoviews.data.geopandas module

class geoviews.data.geopandas.GeoPandasInterface(*, name)

Bases: PandasAPI, MultiInterface

Methods

applies(obj)	Indicates whether the interface is designed specifically to handle the supplied object's type.
isscalar(dataset, dim[, per_geom])	Tests if dimension is scalar in each subpath.
length(dataset)	Returns the length of the multi-tabular dataset making it appear like a single array of concatenated subpaths separated by NaN values.
loaded()	Indicates whether the required dependencies are loaded.
select(dataset[, selection_mask])	Applies selectiong on all the subpaths.
select_mask(dataset, selection)	Given a Dataset object and a dictionary with dimension keys and selection keys (i.e. tuple ranges, slices, sets, lists, or literals) return a boolean mask over the rows in the Dataset object that have been selected.
shape(dataset)	Returns the shape of all subpaths, making it appear like a single array of concatenated subpaths separated by NaN values.
split(dataset, start, end, datatype, **kwargs)	Splits a multi-interface Dataset into regular Datasets using regular tabular interfaces.
values(dataset, dimension[, expanded, flat, ...])	Returns a single concatenated array of all subpaths separated by NaN values.

add_dimension
aggregate
dimension_type
dtype
geo_column
geom_dims
groupby
has_holes
holes
iloc
init
nonzero
range
redim
reindex
sample
shape_mask
sort
validate

Parameter Definitions

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classmethod applies(obj)

Indicates whether the interface is designed specifically to handle the supplied object’s type. By default simply checks if the object is one of the types declared on the class, however if the type is expensive to import at load time the method may be overridden.

classmethod isscalar(dataset, dim, per_geom=False)

Tests if dimension is scalar in each subpath.

classmethod length(dataset)

Returns the length of the multi-tabular dataset making it appear like a single array of concatenated subpaths separated by NaN values.

classmethod loaded()

Indicates whether the required dependencies are loaded.

classmethod select(dataset, selection_mask=None, **selection)

Applies selectiong on all the subpaths.

classmethod select_mask(dataset, selection)

Given a Dataset object and a dictionary with dimension keys and selection keys (i.e. tuple ranges, slices, sets, lists, or literals) return a boolean mask over the rows in the Dataset object that have been selected.

classmethod shape(dataset)

Returns the shape of all subpaths, making it appear like a single array of concatenated subpaths separated by NaN values.

classmethod split(dataset, start, end, datatype, **kwargs)

Splits a multi-interface Dataset into regular Datasets using regular tabular interfaces.

classmethod values(dataset, dimension, expanded=True, flat=True, compute=True, keep_index=False)

Returns a single concatenated array of all subpaths separated by NaN values. If expanded keyword is False an array of arrays is returned.

geoviews.data.geopandas.from_multi(eltype, data, kdims, vdims)

Converts list formats into geopandas.GeoDataFrame.

Parameters:

eltype

Element type to convert

data

The original data

kdims

The declared key dimensions

vdims

The declared value dimensions

Returns:

A GeoDataFrame containing the data in the python:list based format.

geoviews.data.geopandas.get_geom_type(geom)

Returns the HoloViews geometry type.

Parameters:

geom

A shapely geometry

Returns:

python:str

A string representing type of the geometry.

geoviews.data.geopandas.to_geopandas(data, xdim, ydim, columns=None, geom='point')

Converts a list of geometry dictionaries into a GeoPandas GeoDataFrame.

Parameters:

datapython:list of python:dict

List of dictionaries representing individual geometries

xdimpython:str

Name of x-coordinates column

ydimpython:str

Name of y-coordinates column

columnspython:list of python:str, optional

List of additional column names to include in the resulting GeoDataFrame, apart from the geometry. Defaults to an empty list.

geom{‘point’, ‘Line’, ‘Polygon’}, default=’point’

Specifies the geometry type to construct. Supports: - ‘point’ : Point or MultiPoint - ‘Line’ : LineString or MultiLineString - ‘Polygon’ : Polygon or MultiPolygon

Returns:

geopandas.GeoDataFrame

A GeoDataFrame containing the parsed geometries in a ‘geometry’ column along with any specified attribute columns.