Merge pull request #40 from slumnitz/release

1.0.0 Release

Author: slumnitz

.travis.yml

@@ -16,20 +16,12 @@ before_install:
   - conda config --add channels conda-forge
   - conda create -y -q -n test-env python=$TRAVIS_PYTHON_VERSION pip
   - source activate test-env
-  - conda install --yes --file requirements.txt
+  - conda install --yes numpy geopandas matplotlib seaborn ipywidgets bokeh
   - conda list
   - conda info -a
 
 install:
-  # We need geopandas master, the legend_kwds is not in 0.3.0
-  - pip install https://github.com/geopandas/geopandas/archive/master.zip
-  - pip install https://github.com/pysal/libpysal/archive/master.zip
-  # Pysal dependencies removed, therefore need spreg master import
-  - pip install https://github.com/pysal/spreg/archive/master.zip
-  # `libpysal` api change requires esda and giddy import from masterbranch
-  - pip install https://github.com/pysal/esda/archive/master.zip
-  - pip install https://github.com/pysal/giddy/archive/master.zip
-  - pip install palettable mapclassify
+  - pip install -r requirements.txt
   - pip install nose coverage coveralls
   # Now install splot (don't use 'pip install .', we'll run out of space)
   - python setup.py sdist

CHANGELOG.md

@@ -0,0 +1,71 @@
+# Changes
+
+Version 1.0.0 (2018-11-30)
+
+We closed a total of 52 issues (enhancements and bug fixes) through 23 pull requests, since our last release on 2017-05-09.
+
+## Issues Closed
+  - merge Sprint with master branch (#39)
+  - Change documentation style (#38)
+  - add travis build badge to README.md (#37)
+  - fix current documentation for sprint (#36)
+  - `value_by_alpha` prototype (#28)
+  - Clean up of current code base (#30)
+  - Value By Alpha specification (#24)
+  - nonplanar example update (#33)
+  - add README.md (#29)
+  - issues in some docstrings for giddy (#26)
+  - debug `splot` documentation (#25)
+  - collection of cleanups for`splot.giddy`  (#23)
+  - created `esda.moran.Moran_Local_BV` visualisations (#20)
+  - add `esda.moran.Moran_BV` visualizations to `splot.esda` (#18)
+  - add `seaborn` and `matplotlib` to `install_requirements` in `setup.py` (#19)
+  - prototype `moran_scatterplot()`, `plot_moran_simulation()` and `plot_moran()` for `esda` (#17)
+  - include utility functions `shift_colormap` and `truncate_colormap` (#15)
+  - fix setup.py so files are installed with "pip install ." (#16)
+  - `plot_spatial_weights` including network joins for `non_planar_joins` (#14)
+  - adapting existing `esda` functionality to `splot.esda` namespace and allow `.plot()` method (#13)
+  - adding license (#4)
+  - add `giddy` dynamic LISA functionality under `splot.giddy` (#11)
+  - start sphinx html documentation (#12)
+  - add visualization option with significance to mplot (#7)
+  - Visualising Local Autocorrelation (#8)
+  - Copy new changes made to viz module into split (#5)
+  - run 2to3 for splot (#6)
+  - Fix for Pysal#930 (#3)
+  - Add a Gitter chat badge to README.md (#2)
+
+## Pull Requests
+  - merge Sprint with master branch (#39)
+  - Change documentation style (#38)
+  - fix current documentation for sprint (#36)
+  - `value_by_alpha` prototype (#28)
+  - Clean up of current code base (#30)
+  - add README.md (#29)
+  - debug `splot` documentation (#25)
+  - collection of cleanups for`splot.giddy`  (#23)
+  - created `esda.moran.Moran_Local_BV` visualisations (#20)
+  - add `esda.moran.Moran_BV` visualizations to `splot.esda` (#18)
+  - add `seaborn` and `matplotlib` to `install_requirements` in `setup.py` (#19)
+  - prototype `moran_scatterplot()`, `plot_moran_simulation()` and `plot_moran()` for `esda` (#17)
+  - include utility functions `shift_colormap` and `truncate_colormap` (#15)
+  - fix setup.py so files are installed with "pip install ." (#16)
+  - `plot_spatial_weights` including network joins for `non_planar_joins` (#14)
+  - adapting existing `esda` functionality to `splot.esda` namespace and allow `.plot()` method (#13)
+  - add `giddy` dynamic LISA functionality under `splot.giddy` (#11)
+  - start sphinx html documentation (#12)
+  - add visualization option with significance to mplot (#7)
+  - Visualising Local Autocorrelation (#8)
+  - run 2to3 for splot (#6)
+  - Fix for Pysal#930 (#3)
+  - Add a Gitter chat badge to README.md (#2)
+
+The following individuals contributed to this release:
+
+  - Stefanie Lumnitz
+  - Dani Arribas-Bel
+  - Levi John Wolf
+  - Serge Rey
+  - Thequackdaddy
+  - Jsignell
+  - Serge

requirements.txt

@@ -1,7 +1,9 @@
 numpy
-pandas 
-geopandas
+geopandas>=0.4.0
 matplotlib
 seaborn
-bokeh
-ipywidgets
+libpysal
+mapclassify
+esda
+spreg
+giddy

setup.py

@@ -2,14 +2,14 @@
 
 
 setup(name='splot', #name of package
-      version='1.0.0.dev0',
+      version='1.0.0',
       description= 'plotting for PySAL',
       url= 'https://github.com/pysal/splot',
-      maintainer= 'Serge Rey',
-      maintainer_email= '[email protected]',
+      maintainer= 'Serge Rey, Stefanie Lumnitz',
+      maintainer_email= '[email protected], [email protected]',
       test_suite = 'nose.collector',
       tests_require=['nose'],
-      keywords='spatial statistics',
+      keywords='spatial statistics visualization',
       classifiers=[
         'Development Status :: 5 - Production/Stable',
         'Intended Audience :: Science/Research',
@@ -20,11 +20,12 @@
         'License :: OSI Approved :: BSD License',
         'Programming Language :: Python',
         'Programming Language :: Python :: 3.5',
-        'Programming Language :: Python :: 3.6'
+        'Programming Language :: Python :: 3.6',
+        'Programming Language :: Python :: 3.7'
         ],
       license='3-Clause BSD',
       packages=['splot'],
       include_package_data=True,
-      install_requires=['numpy', 'libpysal', 'mapclassify',
-                        'esda', 'spreg','matplotlib','seaborn'],
+      install_requires=['numpy', 'libpysal', 'mapclassify', 'geopandas',
+                        'esda', 'spreg', 'giddy', 'matplotlib', 'seaborn'],
       zip_safe=False)

splot/bk.py splot/_bk.pysplot/bk.py renamed to splot/_bk.py

@@ -1,10 +1,15 @@
+## Tests are enabled even though Bokeh functionality is private for now,
+## in order to keep code coverage good.
+## Bokeh versions are not intended for release
+## but will be picked up later
+
 from libpysal.weights.contiguity import Queen
 from libpysal import examples
 import geopandas as gpd
 import esda
 
-from splot.bk import (plot_choropleth, lisa_cluster,
-                      moran_scatterplot, plot_local_autocorrelation)
+from splot._bk import (plot_choropleth, lisa_cluster,
+                       moran_scatterplot, plot_local_autocorrelation)
 
 
 def test_plot_choropleth():