dtoolkit.geoaccessor.register_geoseries_method#

dtoolkit.geoaccessor.register_geoseries_method(name: str = None)[source]#

GeoSeries register accessor for human.

Write method normally, use method naturally.

Parameters:

namestr, optional: Use the method name as the default accessor entrance if name is None.

See also

dtoolkit.geoaccessor.register_geoseries_accessor
dtoolkit.geoaccessor.register_geodataframe_accessor
register_geoseries_method
register_geodataframe_method

Examples

In your library code:

from __future__ import annotations

import geopandas as gpd
import pandas as pd

@register_geodataframe_method("is_p")  # Support alias name also.
@register_geoseries_method("is_p")  # Only receive positional-only argument.
@register_geodataframe_method
@register_geoseries_method  # Use accessor method `__name__` as the entrance.
def is_point(s: gpd.GeoSeries | gpd.GeoDataFrame) -> pd.Series:
    # Return a boolean Series denoting whether each geometry is a point.

    return self._obj.geometry.geom_type == "Point"

Back in an interactive IPython session:

In [1]: import geopandas as gpd

In [2]: s = gpd.GeoSeries.from_wkt(["POINT (0 0)", "POINT (1 1)", None])

In [3]: s
Out[3]:
0    POINT (0.00000 0.00000)
1    POINT (1.00000 1.00000)
2                       None
dtype: geometry

In [4]: s.is_point()
Out[4]:
0     True
1     True
2    False
dtype: bool

In [5]: d = s.to_frame("geometry")
Out[5]:
                  geometry
0  POINT (0.00000 0.00000)
1  POINT (1.00000 1.00000)
2                     None

In [6]: d.is_point()
Out[6]:
0     True
1     True
2    False
dtype: bool

In [7]: s.is_p()
Out[7]:
0     True
1     True
2    False
dtype: bool

In [8]: d.is_p()
Out[8]:
0     True
1     True
2    False
dtype: bool