Register a custom accessor on Series objects.


name : str

Name under which the accessor should be registered. A warning is issued if this name conflicts with a preexisting attribute.


When accessed, your accessor will be initialized with the pandas object the user is interacting with. So the signature must be

def __init__(self, pandas_object):

For consistency with pandas methods, you should raise an AttributeError if the data passed to your accessor has an incorrect dtype.

>>> pd.Series(['a', 'b']).dt
Traceback (most recent call last):
AttributeError: Can only use .dt accessor with datetimelike values


In your library code:

import pandas as pd

class GeoAccessor(object):
    def __init__(self, pandas_obj):
        self._obj = pandas_obj

    def center(self):
        # return the geographic center point of this DataFrame
        lat = self._obj.latitude
        lon = self._obj.longitude
        return (float(lon.mean()), float(lat.mean()))

    def plot(self):
        # plot this array's data on a map, e.g., using Cartopy

Back in an interactive IPython session:

>>> ds = pd.DataFrame({'longitude': np.linspace(0, 10),
...                    'latitude': np.linspace(0, 20)})
(5.0, 10.0)
>>> ds.geo.plot()
# plots data on a map
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