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verticapy.vDataColumn.geo_plot#

vDataColumn.geo_plot(*args, **kwargs) → PlottingBase | TableSample | Axes | mFigure | Highchart | Highstock | Figure#

Draws the Geospatial object.

Parameters#

*args / **kwargs

Any optional parameter to pass to the geopandas plot function. For more information, see: https://geopandas.readthedocs.io/en/latest/ docs/reference/api/geopandas.GeoDataFrame.plot.html

Returns#

ax

Axes

Examples#

Note

The below example is a very basic one. For other more detailed examples and customization options, please see Geospatial Plots

Let’s begin by importing the dataset module of VerticaPy. It provides a range of datasets for both training and exploring VerticaPy’s capabilities.

import verticapy.datasets as vpd

Let’s utilize the World dataset to demonstrate geospatial capabilities.

import verticapy.datasets as vpd

world = vpd.load_world()

# We filter to select only the African continent
africa = world[world["continent"] == "Africa"]

Now we can draw the plot:

africa["geometry"].geo_plot(edgecolor = "black", color = "white")
Out[2]: <Axes: >
_images/core_vdataframe_plotting_vdc_geo_plot.png

See also

vDataColumn.plot() : Line Plot.