I started off this way in #907, then switched to nominatim, but our
current usage appears to be a violation of the nominatim terms of
service. Geocodefarm doesn't seem perfect, but given my reading of their
terms of service, I think using it in our examples in docs is okay.
* Consider a new plotting artist for improving colormap legends
* test: add a unit test for verifying legend height
* plotting: manage 'cax' argument without 'ax' one
* test: add a missing 'abs(.)' function to cax height test
* doc: complete 'mapping.rst' with details about the choropleth legends
* Update mapping.rst
Make explanation of colorbar example more concise
The request to google is frequently (always?) failing in the past few
months, so use geocodefarm instead for the example of how to use
geocoding in geopandas.
* access to all mapclassify schemes including keywords (#235, #357)
* test for classificaition_kwds
* scheme docstring to get rid of selection of schemes
* Explicit list of possible schemes in docstring
* New classification schemes in docs (and changed PySAL to mapclassify)
* import all mapclassify clasifiers instead passing them explicitly
* inspect compatible with python 2
* fix getargspec for python 2.7
* minor update of docs
I noticed some differences between the docs and the source code. By default scheme is ``None`` and ``equal_interval`` mustn't end with an s otherwise an exception is raised. I also changed the link because the current URL resolves to a 404 error.
* Add autodoc to sphinx configuration
* Add support for numpy docstring to sphinx configuration
* Use autodoc for reference documentation, reading documentation from docstrings
* Improve docstrings of properties and methods listed in Reference documentation
* Pass through kwargs for GeoSeries.buffer (#535)
* Fix choropleth typo in doc (#542)
* Remove warnings from numpydoc when generating docs
* Add autodoc to sphinx configuration
* Add support for numpy docstring to sphinx configuration
* Use autodoc for reference documentation, reading documentation from docstrings
* Improve docstrings of properties and methods listed in Reference documentation
* Remove warnings from numpydoc when generating docs
* Add GeoSeries-subsection for consistency
* Consistently only add parameters for functions passing through args/kwargs
* Clarify how contains and within are inverses of each other
* remove plot signature in reference
* Add basic support for remote resources to `read_file`
Tested with GeoJSON files.
* TST: Use GeoJSON file from GeoPandas repo
* Switch to numpydoc style
* Fix syntax in docs
* Formatting and rename test marker
Sergio Rey