dtoolkit.geoaccessor.geoseries.to_h3#

dtoolkit.geoaccessor.geoseries.to_h3(s: GeoSeries, /, resolution: int, int_dtype: bool = True) → GeoSeries[source]#

Convert Point or Polygon to H3 cell index.

Parameters:

resolutionint: H3 resolution.
int_dtypebool, default True: If True, use h3.api.numpy_int else use h3.api.basic_str.

Returns:

GeoSeries: With H3 cell as the its index.

Raises:

ModuleNotFoundError: If don’t have module named ‘h3’.
TypeError: If the geometry type is not Point or Polygon.
ValueError: If the CRS is not WGS84 or EPSG:4326.

See also

h3.latlon_to_h3
h3.polygon_to_cells
dtoolkit.geoaccessor.series.H3
dtoolkit.geoaccessor.dataframe.H3
dtoolkit.geoaccessor.geoseries.to_h3
dtoolkit.geoaccessor.geodataframe.to_h3

Examples

>>> import dtoolkit.geoaccessor
>>> import pandas as pd

Points to h3 indexes.

>>> df = pd.DataFrame({"x": [122, 100], "y": [55, 1]}).from_xy('x', 'y', crs=4326)
>>> df
     x   y                    geometry
0  122  55  POINT (122.00000 55.00000)
1  100   1   POINT (100.00000 1.00000)
>>> df.to_h3(8)
                      x   y                    geometry
612845052823076863  122  55  POINT (122.00000 55.00000)
614269156845420543  100   1   POINT (100.00000 1.00000)

Polygons to h3 indexes.

>>> df = pd.DataFrame(
...     {
...         "label": ["a", "b"],
...         "wkt": [
...             "POLYGON ((1 0, 1 1, 0 1, 0 0, 1 0))",
...             "POLYGON ((2 1, 2 2, 1 2, 1 1, 2 1))",
...         ],
...     },
... ).from_wkt("wkt", crs=4326).drop(columns="wkt")
>>> df
  label                                           geometry
0     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
1     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
>>> df.to_h3(4)
                   label                                           geometry
596538839648960511     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596538693620072447     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596538685030137855     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596538848238895103     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596537920525959167     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596538813879156735     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596538856828829695     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596538805289222143     a  POLYGON ((1.00000 0.00000, 1.00000 1.00000, 0....
596538229763604479     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596537946295762943     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596540780974178303     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596540729434570751     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596540772384243711     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596538212583735295     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596540763794309119     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596537954885697535     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596540746614439935     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596538195403866111     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....
596541030082281471     b  POLYGON ((2.00000 1.00000, 2.00000 2.00000, 1....

Also support str (hexadecimal) format.

>>> df = pd.DataFrame({"x": [122, 100], "y": [55, 1]}).from_xy('x', 'y', crs=4326)
>>> df
     x   y                    geometry
0  122  55  POINT (122.00000 55.00000)
1  100   1   POINT (100.00000 1.00000)
>>> df.to_h3(8, int_dtype=False)
                   x   y                    geometry
88143541bdfffff  122  55  POINT (122.00000 55.00000)
886528b2a3fffff  100   1   POINT (100.00000 1.00000)