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.
- remove py27 dev build (pandas master no longer supports python 2.7) and replace with pandas 0.23 build
- py37 dev build: move installing pandas and matplotlib master to separate steps in travis yml file (otherwise the conda create step takes too long)
- remove conda-forge/label/dev label for fiona (was still installing the rc instead of actual released version)
See ResidentMario/geoplot#69: depending on how the data are subsampled, we stumble into a potential bug in geoplot. So fixing the random state with a working one to prevent this.
* TST: Make port settable or gettable from env
As raised in #822, may be useful to have the postgis port settings more
generic.
* Add other postgres env settings too
* Add more documentation on postgis test setup
* 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
Travis CI tests were failing recently for one specific build, see https://github.com/conda-forge/gdal-feedstock/issues/261
Fixed by removing the pin of matplotlib to 1.5.3 (but added `gdal=2.3` to keep at older gdal version).
Also added `nomkl` to have a built with numpy/openblas from conda-forge (not that it should matter though).
* Add very basic benchmarks for file reading/writing
Just created a moderate sized series and frame and tested reading and
writing.
* Add benchmarks for other file extensions
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.
Joris Van den Bossche