From 2e3700f77a193e4b47b779db8f9f0b1fe0dfc1ea Mon Sep 17 00:00:00 2001 From: Martin Journois Date: Fri, 11 Dec 2015 20:20:55 +0100 Subject: [PATCH 01/31] Fix GeoSeries.to_json --- geopandas/geoseries.py | 19 ++++++++++++++++++- tests/test_geoseries.py | 8 ++++++++ 2 files changed, 26 insertions(+), 1 deletion(-) diff --git a/geopandas/geoseries.py b/geopandas/geoseries.py index 3fea310..e0a7ed1 100644 --- a/geopandas/geoseries.py +++ b/geopandas/geoseries.py @@ -6,7 +6,7 @@ from pandas import Series, DataFrame from pandas.core.indexing import _NDFrameIndexer from pandas.util.decorators import cache_readonly import pyproj -from shapely.geometry import box, shape, Polygon, Point +from shapely.geometry import box, mapping, shape, Polygon, Point from shapely.geometry.collection import GeometryCollection from shapely.geometry.base import BaseGeometry from shapely.ops import transform @@ -273,6 +273,23 @@ class GeoSeries(GeoPandasBase, Series): result._invalidate_sindex() return result + def to_json(self, **kwargs): + """ + """ + def geometry_handler(x): + if isinstance(x, BaseGeometry): + return { + 'type': 'Feature', + 'properties': {}, + 'geometry': mapping(x) + } + else: + return x + kwargs.setdefault('default_handler',geometry_handler) + kwargs.setdefault('orient','records') + features = super(GeoSeries,self).to_json(**kwargs) + return '{"type":"FeatureCollection","features":%s}' % features + # # Implement standard operators for GeoSeries # diff --git a/tests/test_geoseries.py b/tests/test_geoseries.py index 91c11f5..700c149 100644 --- a/tests/test_geoseries.py +++ b/tests/test_geoseries.py @@ -1,6 +1,7 @@ from __future__ import absolute_import import os +import json import shutil import tempfile import numpy as np @@ -116,6 +117,13 @@ class TestSeries(unittest.TestCase): self.assertTrue(all(self.g3.geom_equals(s))) # TODO: compare crs + def test_to_json(self): + """Test whether GeoSeries.to_json works and returns an actual json file.""" + s = GeoSeries.from_file(tempfilename) + json_str = s.to_json() + json_dict = json.loads(json_str) + # TODO : verify the output is a valid GeoJSON. + def test_representative_point(self): self.assertTrue(np.alltrue(self.g1.contains(self.g1.representative_point()))) self.assertTrue(np.alltrue(self.g2.contains(self.g2.representative_point()))) From 9af05475b82670af274bed1a61ce23b0fcdbb8b0 Mon Sep 17 00:00:00 2001 From: Martin Journois Date: Fri, 11 Dec 2015 20:46:44 +0100 Subject: [PATCH 02/31] Add Docstring to GeoSeries.to_json --- geopandas/geoseries.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/geopandas/geoseries.py b/geopandas/geoseries.py index e0a7ed1..5f4d7a6 100644 --- a/geopandas/geoseries.py +++ b/geopandas/geoseries.py @@ -275,6 +275,11 @@ class GeoSeries(GeoPandasBase, Series): def to_json(self, **kwargs): """ + Returns a GeoJSON string representation of the GeoSeries. + + Parameters + ---------- + See pandas.Series.to_json() """ def geometry_handler(x): if isinstance(x, BaseGeometry): From 77e02c34fe01c9658a0b27f41e7bd073a74cc84c Mon Sep 17 00:00:00 2001 From: Martin Journois Date: Fri, 11 Dec 2015 20:52:27 +0100 Subject: [PATCH 03/31] Fix test_to_json --- tests/test_geoseries.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/test_geoseries.py b/tests/test_geoseries.py index 700c149..3517684 100644 --- a/tests/test_geoseries.py +++ b/tests/test_geoseries.py @@ -119,6 +119,7 @@ class TestSeries(unittest.TestCase): def test_to_json(self): """Test whether GeoSeries.to_json works and returns an actual json file.""" + tempfilename = os.path.join(self.tempdir, 'test.shp') s = GeoSeries.from_file(tempfilename) json_str = s.to_json() json_dict = json.loads(json_str) From a4deea79a9d481b1f39cd426d6cd6afafa9a8e0d Mon Sep 17 00:00:00 2001 From: Martin Journois Date: Fri, 11 Dec 2015 21:06:25 +0100 Subject: [PATCH 04/31] GeoSeries.to_json uses __geo_interface__ --- geopandas/geoseries.py | 19 ++++--------------- tests/test_geoseries.py | 4 +--- 2 files changed, 5 insertions(+), 18 deletions(-) diff --git a/geopandas/geoseries.py b/geopandas/geoseries.py index 5f4d7a6..24dfd33 100644 --- a/geopandas/geoseries.py +++ b/geopandas/geoseries.py @@ -1,4 +1,5 @@ from functools import partial +import json from warnings import warn import numpy as np @@ -6,7 +7,7 @@ from pandas import Series, DataFrame from pandas.core.indexing import _NDFrameIndexer from pandas.util.decorators import cache_readonly import pyproj -from shapely.geometry import box, mapping, shape, Polygon, Point +from shapely.geometry import box, shape, Polygon, Point from shapely.geometry.collection import GeometryCollection from shapely.geometry.base import BaseGeometry from shapely.ops import transform @@ -279,21 +280,9 @@ class GeoSeries(GeoPandasBase, Series): Parameters ---------- - See pandas.Series.to_json() + *kwargs* that will be passed to json.dumps(). """ - def geometry_handler(x): - if isinstance(x, BaseGeometry): - return { - 'type': 'Feature', - 'properties': {}, - 'geometry': mapping(x) - } - else: - return x - kwargs.setdefault('default_handler',geometry_handler) - kwargs.setdefault('orient','records') - features = super(GeoSeries,self).to_json(**kwargs) - return '{"type":"FeatureCollection","features":%s}' % features + return json.dumps(self.__geo_interface__, **kwargs) # # Implement standard operators for GeoSeries diff --git a/tests/test_geoseries.py b/tests/test_geoseries.py index 3517684..ea1fb77 100644 --- a/tests/test_geoseries.py +++ b/tests/test_geoseries.py @@ -119,9 +119,7 @@ class TestSeries(unittest.TestCase): def test_to_json(self): """Test whether GeoSeries.to_json works and returns an actual json file.""" - tempfilename = os.path.join(self.tempdir, 'test.shp') - s = GeoSeries.from_file(tempfilename) - json_str = s.to_json() + json_str = self.g3.to_json() json_dict = json.loads(json_str) # TODO : verify the output is a valid GeoJSON. From 51e6f997c1e84f033251fc34acdb0ce89ca3ae4a Mon Sep 17 00:00:00 2001 From: Micah Cochran Date: Sat, 26 Mar 2016 17:26:56 -0500 Subject: [PATCH 05/31] Universal Python Wheel ... has the potential to make geopandas slightly easier to install. Since geopandas itself it pure python, this should be an extra step during release: `python setup.py sdist bdist_wheel upload` See: http://pythonwheels.com/ --- setup.cfg | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 setup.cfg diff --git a/setup.cfg b/setup.cfg new file mode 100644 index 0000000..2a9acf1 --- /dev/null +++ b/setup.cfg @@ -0,0 +1,2 @@ +[bdist_wheel] +universal = 1 From 70c01660491430978105d63752f4d951b152c4cf Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Sat, 26 Mar 2016 17:19:24 -0700 Subject: [PATCH 06/31] make crs more flexible --- geopandas/geoseries.py | 4 ++-- tests/test_geoseries.py | 19 +++++++++++++++++++ 2 files changed, 21 insertions(+), 2 deletions(-) diff --git a/geopandas/geoseries.py b/geopandas/geoseries.py index 3fea310..a833db6 100644 --- a/geopandas/geoseries.py +++ b/geopandas/geoseries.py @@ -264,8 +264,8 @@ class GeoSeries(GeoPandasBase, Series): crs = from_epsg(epsg) except TypeError: raise TypeError('Must set either crs or epsg for output.') - proj_in = pyproj.Proj(preserve_units=True, **self.crs) - proj_out = pyproj.Proj(preserve_units=True, **crs) + proj_in = pyproj.Proj(self.crs, preserve_units=True) + proj_out = pyproj.Proj(crs, preserve_units=True) project = partial(pyproj.transform, proj_in, proj_out) result = self.apply(lambda geom: transform(project, geom)) result.__class__ = GeoSeries diff --git a/tests/test_geoseries.py b/tests/test_geoseries.py index 91c11f5..2612e83 100644 --- a/tests/test_geoseries.py +++ b/tests/test_geoseries.py @@ -151,5 +151,24 @@ class TestSeries(unittest.TestCase): self.assertEqual(len(self.g1.__geo_interface__['features']), self.g1.shape[0]) + def test_proj4strings(self): + + # As string + reprojected = self.g3.to_crs('+proj=utm +zone=30N') + reprojected_back = reprojected.to_crs(epsg=4326) + self.assertTrue(np.alltrue(self.g3.geom_almost_equals(reprojected_back))) + + # As dict + reprojected = self.g3.to_crs({'proj': 'utm', 'zone': '30N'}) + reprojected_back = reprojected.to_crs(epsg=4326) + self.assertTrue(np.alltrue(self.g3.geom_almost_equals(reprojected_back))) + + # Set to equivalent string, convert, compare to original + copy = self.g3.copy() + copy.crs = '+init=epsg:4326' + reprojected = copy.to_crs({'proj': 'utm', 'zone': '30N'}) + reprojected_back = reprojected.to_crs(epsg=4326) + self.assertTrue(np.alltrue(self.g3.geom_almost_equals(reprojected_back))) + if __name__ == '__main__': unittest.main() From ff842460151760629578d495a4f6ec8b6a709b43 Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Sat, 26 Mar 2016 19:03:54 -0700 Subject: [PATCH 07/31] improve read_file docstring --- geopandas/io/file.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/geopandas/io/file.py b/geopandas/io/file.py index f842fde..d407615 100644 --- a/geopandas/io/file.py +++ b/geopandas/io/file.py @@ -13,8 +13,9 @@ def read_file(filename, **kwargs): Returns a GeoDataFrame from a file. *filename* is either the absolute or relative path to the file to be - opened and *kwargs* are keyword args to be passed to the method when - opening the file. + opened and *kwargs* are keyword args to be passed to the `open` method + in the fiona library when opening the file. For more information on + possible keywords, type: ``import fiona; help(fiona.open)`` """ bbox = kwargs.pop('bbox', None) with fiona.open(filename, **kwargs) as f: From 0e2324df079a3bb1d96b150de6c3f37aae5132da Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Tue, 29 Mar 2016 11:36:58 -0700 Subject: [PATCH 08/31] updated to_crs docstring --- geopandas/geodataframe.py | 6 ++++++ geopandas/geoseries.py | 6 ++++++ 2 files changed, 12 insertions(+) diff --git a/geopandas/geodataframe.py b/geopandas/geodataframe.py index 75925a0..cd26f92 100644 --- a/geopandas/geodataframe.py +++ b/geopandas/geodataframe.py @@ -350,6 +350,12 @@ class GeoDataFrame(GeoPandasBase, DataFrame): joining points are assumed to be lines in the current projection, not geodesics. Objects crossing the dateline (or other projection boundary) will have undesirable behavior. + + `to_crs` passes the `crs` argument to the `Proj` function from the + `pyproj` library (with the option `preserve_units=True`). It can + therefore accept proj4 projections in any format + supported by `Proj`, including dictionaries, or proj4 strings. + """ if inplace: df = self diff --git a/geopandas/geoseries.py b/geopandas/geoseries.py index a833db6..a7d42a3 100644 --- a/geopandas/geoseries.py +++ b/geopandas/geoseries.py @@ -254,6 +254,12 @@ class GeoSeries(GeoPandasBase, Series): joining points are assumed to be lines in the current projection, not geodesics. Objects crossing the dateline (or other projection boundary) will have undesirable behavior. + + `to_crs` passes the `crs` argument to the `Proj` function from the + `pyproj` library (with the option `preserve_units=True`). It can + therefore accept proj4 projections in any format + supported by `Proj`, including dictionaries, or proj4 strings. + """ from fiona.crs import from_epsg if self.crs is None: From 8280e5bfdfb8e671db94054cb1f1f84772a2c45c Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Tue, 29 Mar 2016 13:48:31 -0700 Subject: [PATCH 09/31] additional proj4 conversion test --- tests/test_geoseries.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/tests/test_geoseries.py b/tests/test_geoseries.py index 2612e83..ebcdf78 100644 --- a/tests/test_geoseries.py +++ b/tests/test_geoseries.py @@ -152,7 +152,6 @@ class TestSeries(unittest.TestCase): self.g1.shape[0]) def test_proj4strings(self): - # As string reprojected = self.g3.to_crs('+proj=utm +zone=30N') reprojected_back = reprojected.to_crs(epsg=4326) @@ -170,5 +169,10 @@ class TestSeries(unittest.TestCase): reprojected_back = reprojected.to_crs(epsg=4326) self.assertTrue(np.alltrue(self.g3.geom_almost_equals(reprojected_back))) + # Conversions by different format + reprojected_string = self.g3.to_crs('+proj=utm +zone=30N') + reprojected_dict = self.g3.to_crs({'proj': 'utm', 'zone': '30N'}) + self.assertTrue(np.alltrue(reprojected_string.geom_almost_equals(reprojected_dict))) + if __name__ == '__main__': unittest.main() From 8327a14fc3e6e7ff8c96c369112f17dccda7a82f Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Thu, 24 Mar 2016 19:39:59 -0700 Subject: [PATCH 10/31] new structure for docs; draft of several sections --- .../_example_data/naturalearth_lowres.cpg | 1 + .../_example_data/naturalearth_lowres.dbf | Bin 0 -> 51346 bytes .../_example_data/naturalearth_lowres.prj | 1 + .../_example_data/naturalearth_lowres.shp | Bin 0 -> 179828 bytes .../_example_data/naturalearth_lowres.shx | Bin 0 -> 1516 bytes doc/source/_static/world_borders.png | Bin 0 -> 97302 bytes doc/source/_static/world_centroids.png | Bin 0 -> 21246 bytes doc/source/_static/world_randomcolors.png | Bin 0 -> 97302 bytes doc/source/_static/world_reproj.png | Bin 0 -> 85624 bytes doc/source/_static/world_starting.png | Bin 0 -> 97302 bytes doc/source/conf.py | 11 +- doc/source/contributing.rst | 330 ++++++++++++++++++ doc/source/dtypes.rst | 121 +++++++ doc/source/geocoding.rst | 17 + doc/source/geometric_manipulations.rst | 243 +++++++++++++ doc/source/index.rst | 12 +- doc/source/{user.rst => index_page.rst} | 192 +--------- doc/source/install.rst | 67 +--- doc/source/io.rst | 29 ++ doc/source/mapping.rst | 36 ++ doc/source/mergingdata.rst | 15 + doc/source/projections.rst | 71 ++++ geopandas/geodataframe.py | 1 + requirements_rtd.txt | 1 + 24 files changed, 890 insertions(+), 258 deletions(-) create mode 100644 doc/source/_example_data/naturalearth_lowres.cpg create mode 100644 doc/source/_example_data/naturalearth_lowres.dbf create mode 100644 doc/source/_example_data/naturalearth_lowres.prj create mode 100644 doc/source/_example_data/naturalearth_lowres.shp create mode 100644 doc/source/_example_data/naturalearth_lowres.shx create mode 100644 doc/source/_static/world_borders.png create mode 100644 doc/source/_static/world_centroids.png create mode 100644 doc/source/_static/world_randomcolors.png create mode 100644 doc/source/_static/world_reproj.png create mode 100644 doc/source/_static/world_starting.png create mode 100644 doc/source/contributing.rst create mode 100644 doc/source/dtypes.rst create mode 100644 doc/source/geocoding.rst create mode 100644 doc/source/geometric_manipulations.rst rename doc/source/{user.rst => index_page.rst} (63%) create mode 100644 doc/source/io.rst create mode 100644 doc/source/mapping.rst create mode 100644 doc/source/mergingdata.rst create mode 100644 doc/source/projections.rst diff --git a/doc/source/_example_data/naturalearth_lowres.cpg b/doc/source/_example_data/naturalearth_lowres.cpg new file mode 100644 index 0000000..cd89cb9 --- /dev/null +++ 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etFI67Z{dOOLgC7c*j|98L}bLdGcBjn?)(87!88H@ literal 0 HcmV?d00001 diff --git a/doc/source/conf.py b/doc/source/conf.py index 653eb9d..c713508 100644 --- a/doc/source/conf.py +++ b/doc/source/conf.py @@ -25,9 +25,11 @@ import sys, os # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. -extensions = [] +extensions = ['IPython.sphinxext.ipython_console_highlighting', + 'IPython.sphinxext.ipython_directive'] # Add any paths that contain templates here, relative to this directory. + templates_path = ['_templates'] # The suffix of source filenames. @@ -93,10 +95,9 @@ pygments_style = 'sphinx' # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. -if os.environ.get('READTHEDOCS', None) == 'True': - html_theme = 'default' -else: - html_theme = 'nature' +import sphinx_rtd_theme +html_theme = "sphinx_rtd_theme" +html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the diff --git a/doc/source/contributing.rst b/doc/source/contributing.rst new file mode 100644 index 0000000..50f3296 --- /dev/null +++ b/doc/source/contributing.rst @@ -0,0 +1,330 @@ +Contributing +============ +(Contribution guidelines largely copied from `pandas `_) + +Overview +---------- + +Contributions to GeoPandas are very welcome. They are likely to +be accepted more quickly if they follow these guidelines. + +At this stage of GeoPandas development, the priorities are to define a +simple, usable, and stable API and to have clean, maintainable, +readable code. Performance matters, but not at the expense of those +goals. + +In general, GeoPandas follows the conventions of the pandas project +where applicable. + +In particular, when submitting a pull request: + +- All existing tests should pass. Please make sure that the test + suite passes, both locally and on + [Travis CI](https://travis-ci.org/geopandas/geopandas). Status on + Travis will be visible on a pull request. If you want to enable + Travis CI on your own fork, please read the pandas guidelines link + above or the + [getting started docs](http://about.travis-ci.org/docs/user/getting-started/). + +- New functionality should include tests. Please write reasonable + tests for your code and make sure that they pass on your pull request. + +- Classes, methods, functions, etc. should have docstrings. The first + line of a docstring should be a standalone summary. Parameters and + return values should be ducumented explicitly. + +- GeoPandas supports python 2 (2.6+) and python 3 (3.2+) with a single + code base. Use modern python idioms when possible that are + compatibile with both major versions, and use the + [six](https://pythonhosted.org/six) library where helpful to smooth + over the differences. Use `from __future__ import` statements where + appropriate. Test code locally in both python 2 and python 3 when + possible (all supported versions will be automatically tested on + Travis CI). + +- Follow PEP 8 when possible. + +- Imports should be grouped with standard library imports first, + 3rd-party libraries next, and geopandas imports third. Within each + grouping, imports should be alphabetized. Always use absolute + imports when possible, and explicit relative imports for local + imports when necessary in tests. + + +Seven Steps for Contributing +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +There are seven basic steps to contributing to *geopandas* + + +1) Fork the *geopandas* git repository +2) Create a development environment +3) Install *geopandas* dependencies +4) Make a ``development`` build of *geopandas* +5) Make changes to code and add tests +6) Update the documentation +7) Submit a Pull Request + +Each of these 7 steps is detailed below. + + + +1) Forking the *geopandas* repository using Git +------------------------------------------------ + +To the new user, working with Git is one of the more daunting aspects of contributing to *geopandas**. +It can very quickly become overwhelming, but sticking to the guidelines below will help keep the process +straightforward and mostly trouble free. As always, if you are having difficulties please +feel free to ask for help. + +The code is hosted on `GitHub `_. To +contribute you will need to sign up for a `free GitHub account +`_. We use `Git `_ for +version control to allow many people to work together on the project. + +Some great resources for learning Git: + +* Software Carpentry's `Git Tutorial `_ +* `Atlassian `_ +* the `GitHub help pages `_. +* Matthew Brett's `Pydagogue `_. + +Getting started with Git +~~~~~~~~~~~~~~~~~~~~~~~~~ + +`GitHub has instructions `__ for installing git, +setting up your SSH key, and configuring git. All these steps need to be completed before +you can work seamlessly between your local repository and GitHub. + +.. _contributing.forking: + +Forking +~~~~~~~~ + +You will need your own fork to work on the code. Go to the `geopandas project +page `_ and hit the ``Fork`` button. You will +want to clone your fork to your machine:: + + git clone git@github.com:your-user-name/geopandas.git geopandas-yourname + cd geopandas-yourname + git remote add upstream git://github.com/geopandas/geopandas.git + +This creates the directory `geopandas-yourname` and connects your repository to +the upstream (main project) *geopandas* repository. + +The testing suite will run automatically on Travis-CI once your pull request is +submitted. However, if you wish to run the test suite on a branch prior to +submitting the pull request, then Travis-CI needs to be hooked up to your +GitHub repository. Instructions for doing so are `here +`__. + +Creating a branch +~~~~~~~~~~~~~~~~~~ + +You want your master branch to reflect only production-ready code, so create a +feature branch for making your changes. For example:: + + git branch shiny-new-feature + git checkout shiny-new-feature + +The above can be simplified to:: + + git checkout -b shiny-new-feature + +This changes your working directory to the shiny-new-feature branch. Keep any +changes in this branch specific to one bug or feature so it is clear +what the branch brings to *geopandas*. You can have many shiny-new-features +and switch in between them using the git checkout command. + +To update this branch, you need to retrieve the changes from the master branch:: + + git fetch upstream + git rebase upstream/master + +This will replay your commits on top of the latest geopandas git master. If this +leads to merge conflicts, you must resolve these before submitting your pull +request. If you have uncommitted changes, you will need to ``stash`` them prior +to updating. This will effectively store your changes and they can be reapplied +after updating. + +.. _contributing.dev_env: + +2) Creating a development environment +--------------------------------------- +A development environment is a virtual space where you can keep an independent installation of *geopandas*. +This makes it easy to keep both a stable version of python in one place you use for work, and a development +version (which you may break while playing with code) in another. + +An easy way to create a *geopandas** development environment is as follows. + +- Install either :ref:`Anaconda ` or :ref:`miniconda ` +- Make sure that you have :ref:`cloned the repository ` +- ``cd`` to the *geopandas** source directory + +Tell conda to create a new environment, named ``geopandas_dev``, or any other name you would like +for this environment, by running:: + + conda create -n geopandas_dev + +For a python 3 environment:: + + conda create -n geopandas_dev python=3 + +.. warning:: + + If you are on Windows, see :ref:`here for a fully compliant Windows environment `. + +This will create the new environment, and not touch any of your existing environments, +nor any existing python installation. + +To work in this environment, Windows users should ``activate`` it as follows:: + + activate geopandas_dev + +Mac OSX and Linux users should use:: + + source activate geopandas_dev + +You will then see a confirmation message to indicate you are in the new development environment. + +To view your environments:: + + conda info -e + +To return to you home root environment:: + + deactivate + +See the full conda docs `here `__. + +At this point you can easily do a *development* install, as detailed in the next section. + +.. _contributing.windows: + +Creating a Windows development environment +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +To build on Windows, you need to have compilers installed to build the extensions. You will need to install the appropriate Visual Studio compilers, VS 2008 for Python 2.7, VS 2010 for 3.4, and VS 2015 for Python 3.5. + +For Python 2.7, you can install the ``mingw`` compiler which will work equivalently to VS 2008:: + + conda install -n geopandas_dev libpython + +or use the `Microsoft Visual Studio VC++ compiler for Python `__. Note that you have to check the ``x64`` box to install the ``x64`` extension building capability as this is not installed by default. + +For Python 3.4, you can download and install the `Windows 7.1 SDK `__. Read the references below as there may be various gotchas during the installation. + +For Python 3.5, you can download and install the `Visual Studio 2015 Community Edition `__. + +Here are some references: + +- https://github.com/conda/conda-recipes/wiki/Building-from-Source-on-Windows-32-bit-and-64-bit +- https://cowboyprogrammer.org/building-python-wheels-for-windows/ +- https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ +- https://support.enthought.com/hc/en-us/articles/204469260-Building-Python-extensions-with-Canopy + + + + +3) Installing Dependencies +--------------------------- + +To run *geopandas* in an development environment, you must first install *geopandas*'s dependencies. We suggest doing so using the following commands (executed after your development environment has been activated): + + conda install fiona -c conda-forge + conda install shapely -c conda-forge + conda install pyproj -c conda-forge + conda install pandas + + +This should install all necessary dependencies. The only exception is `rtree`_, which is an optional dependency. ``rtree`` requires the C library `libspatialindex`_. If using brew, you can install using ``brew install Spatialindex``. + + +4) Making a development build +------------------------------------- + +Once dependencies are in place, make an in-place build by navigating to the git clone of the *geopandas* repository and running: + + python setup.py develop + + + + +5) Making changes and writing tests +------------------------------------- + +*geopandas* is serious about testing and strongly encourages contributors to embrace +`test-driven development (TDD) `_. +This development process "relies on the repetition of a very short development cycle: +first the developer writes an (initially failing) automated test case that defines a desired +improvement or new function, then produces the minimum amount of code to pass that test." +So, before actually writing any code, you should write your tests. Often the test can be +taken from the original GitHub issue. However, it is always worth considering additional +use cases and writing corresponding tests. + +Adding tests is one of the most common requests after code is pushed to *geopandas*. Therefore, +it is worth getting in the habit of writing tests ahead of time so this is never an issue. + +Like many packages, *geopandas* uses the `Nose testing system +`_ and the convenient +extensions in `numpy.testing +`_. + +Writing tests +~~~~~~~~~~~~~ + +All tests should go into the ``tests`` subdirectory of the specific package. +This folder contains many current examples of tests, and we suggest looking to these for +inspiration. + +The ``.util`` module has many special ``assert`` functions that +make it easier to make statements about whether Series or DataFrame objects are +equivalent. The easiest way to verify that your code is correct is to +explicitly construct the result you expect, then compare the actual result to +the expected correct result:: + + def test_pivot(self): + data = { + 'index' : ['A', 'B', 'C', 'C', 'B', 'A'], + 'columns' : ['One', 'One', 'One', 'Two', 'Two', 'Two'], + 'values' : [1., 2., 3., 3., 2., 1.] + } + + frame = DataFrame(data) + pivoted = frame.pivot(index='index', columns='columns', values='values') + + expected = DataFrame({ + 'One' : {'A' : 1., 'B' : 2., 'C' : 3.}, + 'Two' : {'A' : 1., 'B' : 2., 'C' : 3.} + }) + + assert_frame_equal(pivoted, expected) + +Running the test suite +~~~~~~~~~~~~~~~~~~~~~~ + +The tests can then be run directly inside your Git clone (without having to +install *geopandas*) by typing:: + + nosetests -v + +6) Updating the Documentation +------------------------------ + +*geopandas* documentation resides in the `doc` folder. Changes to the docs are make by modifying the appropriate file in the `source` folder within `doc`. *geopandas* docs us reStructuredText syntax, `which is explained here `_. + +Once you have made your changes, you can build the docs by navigating to the `doc` folder and typing: + + make html + +The resulting html pages will be located in `doc/build/html`. + + +7) Submitting a Pull Request +------------------------------ + +Once you've made changes and pushed them to your forked repository, you then submit a pull request to have them integrated into the *geopandas* code base. You can find pull request (or PR) tutorials here: + +* `GitHub's Help Docs `_ +* `Atlassian `_ + diff --git a/doc/source/dtypes.rst b/doc/source/dtypes.rst new file mode 100644 index 0000000..3d37cae --- /dev/null +++ b/doc/source/dtypes.rst @@ -0,0 +1,121 @@ +.. currentmodule:: geopandas + +.. ipython:: python + :suppress: + + import geopandas as gpd + world = gpd.GeoDataFrame().from_file('source/_example_data/naturalearth_lowres.shp') + world = world.rename(columns={'geometry': 'borders'}).set_geometry('borders') + +Data Structures +========================================= + +GeoPandas implements two main data structures, a ``GeoSeries`` and a +``GeoDataFrame``. These are subclasses of pandas ``Series`` and +``DataFrame``, respectively. + +GeoSeries +--------- + +A ``GeoSeries`` is essentially a vector where each entry in the vector +is a set of shapes corresponding to one observation. An entry may consist +of only one shape (like a single polygon) or multiple shapes that are +meant to be thought of as one observation (like the many polygons that +make up the State of Hawaii or a country like Indonesia). + +*geopandas* has three classes of geometric objects (which are actually *shapely* objects): + +* Points +* Lines +* Polygons + +All entries in a ``GeoSeries`` must be of the same geometric type. + +Overview of Attributes and Methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The ``GeoSeries`` class implements nearly all of the attributes and +methods of Shapely objects. When applied to a ``GeoSeries``, they +will apply elementwise to all geometries in the series. Binary +operations can be applied between two ``GeoSeries``, in which case the +operation is carried out elementwise. The two series will be aligned +by matching indices. Binary operations can also be applied to a +single geometry, in which case the operation is carried out for each +element of the series with that geometry. In either case, a +``Series`` or a ``GeoSeries`` will be returned, as appropriate. + +A short summary of a few attributes and methods for GeoSeries is +presented here, and a full list can be found in the :doc:`all attributes and methods page `. +There is also a family of methods for creating new shapes by expanding +existing shapes or applying set-theoretic operations like "union" described +in :doc:`geometric manipulations `. + +Attributes +^^^^^^^^^^^^^^^ +* ``area``: shape area (units of projection -- see :doc:`projections `) +* ``bounds``: tuple of max and min coordinates on each axis for each shape +* ``total_bounds``: tuple of max and min coordinates on each axis for entire GeoSeries +* ``geom_type``: type of geometry. +* ``is_valid``: tests if coordinates make a shape that is reasonable geometric shape (`according to this `_). + +Basic Methods +^^^^^^^^^^^^^^ + +* ``distance(other)``: returns ``Series`` with minimum distance from each entry to ``other`` +* ``centroid``: returns ``GeoSeries`` of centroids +* ``representative_point()``: returns ``GeoSeries``of points that are guaranteed to be within each geometry. It does **NOT** return centroids. +* ``to_crs()``: change coordinate reference system. See :doc:`projections ` +* ``plot()``: plot ``GeoSeries``. See :doc:`mapping `. + +Relationship Tests +^^^^^^^^^^^^^^^^^^^ + +* ``almost_equals(other)``: is shape almost the same as ``other`` (good when floating point precision issues make shapes slightly different) +* ``contains(other)``: is shape contained within ``other`` +* ``intersects(other)``: does shape intersect ``other`` + + +GeoDataFrame +------------ + +A ``GeoDataFrame`` is a tablular data structure that contains contains a ``GeoSeries``. + +The most important property of a ``GeoDataFrame`` is that it always has one ``GeoSeries`` that holds a special status. This ``GeoSeries`` is referred to as the ``GeoDataFrame``'s "geometry". When a spatial method is applied to a ``GeoDataFrame`` (or a spatial attribute like ``area`` is called), this commands will always act on the "geometry" column. + +The "geometry" column -- no matter it's name -- can be accessed through the ``geometry`` attribute (``gdf.geometry``), and the name of the ``geometry`` column can be found by typing ``gdf.geometry.name``. + +A ``GeoDataFrame`` may also contain other ``GeoSeries``, but only one ``GeoSeries`` can be the active geometry at a time. To change which ``GeoSeries`` is the geometry, use the ``set_geometry`` function: + +.. ipython:: python + + #Plot countries: + @savefig world_borders.png width=3in + world.plot(); + + # Check geometry. + # Currently, the column named "borders" with country + # borders is the active geometry column. + world.geometry.name + + # Create centroids and make it the geometry + world['centroid_column'] = world.centroid + world = world.set_geometry('centroid_column') + + @savefig world_centroids.png width=3in + world.plot(); + + +**Note:** A ``GeoDataFrame`` keeps track of the active column by name, so if you rename the active geometry column, you must also reset the geometry: + + gdf = gdf.rename(columns={'old_name': 'new_name'}).set_geometry('new_name') + +**Note 2:** Somewhat confusingly, by default when you use the ``read_file`` command, the column containing spatial objects from the file is named "geometry" by default, and will be set as the active geometry column. However, despite using the same term for the name of the column and the name of the special attribute that keeps track of the active column, they are distinct. You can easily shift the active geometry column to a different ``GeoSeries`` with the ``set_geometry`` command. Further, ``gdf.geometry`` will always return the active geometry column, *not* the column named ``geometry``. If you wish to call a column named "geometry", and a different column is the active geometry column, use ``gdf['geometry']``, not ``gdf.geometry``. + +Attributes and Methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Any of the attributes calls or methods described for a ``GeoSeries`` will work on a ``GeoDataFrame`` -- effectively, they are just applied to the "geometry" ``GeoSeries``. + +However, ``GeoDataFrames`` also have a few extra methods for input and output which are described on the :doc:`Input and Output ` page and for geocoding with are described in :doc:`Geocoding `. + + diff --git a/doc/source/geocoding.rst b/doc/source/geocoding.rst new file mode 100644 index 0000000..f6cb026 --- /dev/null +++ b/doc/source/geocoding.rst @@ -0,0 +1,17 @@ + +Geocoding +========== + +[TO BE COMPLETED] + + +.. function:: geopandas.geocode.geocode(strings, provider='googlev3', **kwargs) + + Geocode a list of strings and return a GeoDataFrame containing the + resulting points in its ``geometry`` column. Available + ``provider``s include ``googlev3``, ``bing``, ``google``, ``yahoo``, + ``mapquest``, and ``openmapquest``. ``**kwargs`` will be passed as + parameters to the appropriate geocoder. + + Requires `geopy`_. Please consult the Terms of Service for the + chosen provider. diff --git a/doc/source/geometric_manipulations.rst b/doc/source/geometric_manipulations.rst new file mode 100644 index 0000000..b4f6b97 --- /dev/null +++ b/doc/source/geometric_manipulations.rst @@ -0,0 +1,243 @@ +GeoPandas User Guide +==================== + + + + +Set-theoretic Methods +~~~~~~~~~~~~~~~~~~~~~ + +**Attribute:** GeoSeries.boundary + + Returns a ``GeoSeries`` of lower dimensional objects representing + each geometries's set-theoretic `boundary`. + +**Method:** GeoSeries.difference(other) + + Returns a ``GeoSeries`` of the points in each geometry that + are not in the *other* object. + +**Method:** GeoSeries.intersection(other) + + Returns a ``GeoSeries`` of the intersection of each object with the `other` + geometric object. + +**Method:** GeoSeries.symmetric_difference(other) + + Returns a ``GeoSeries`` of the points in each object not in the `other` + geometric object, and the points in the `other` not in this object. + +**Method:** GeoSeries.union(other) + + Returns a ``GeoSeries`` of the union of points from each object and the + `other` geometric object. + + +**Attribute:** GeoSeries.unary_union + + Return a geometry containing the union of all geometries in the ``GeoSeries``. + + +Constructive Methods +~~~~~~~~~~~~~~~~~~~~~ + +**Method:** GeoSeries.buffer(distance, resolution=16) + + Returns a ``GeoSeries`` of geometries representing all points within a given `distance` + of each geometric object. + +**Attribute:** GeoSeries.convex_hull + + Returns a ``GeoSeries`` of geometries representing the smallest + convex `Polygon` containing all the points in each object unless the + number of points in the object is less than three. For two points, + the convex hull collapses to a `LineString`; for 1, a `Point`. + +**Attribute:** GeoSeries.envelope + + Returns a ``GeoSeries`` of geometries representing the point or + smallest rectangular polygon (with sides parallel to the coordinate + axes) that contains each object. + +**Method:** GeoSeries.simplify(tolerance, preserve_topology=True) + + Returns a ``GeoSeries`` containing a simplified representation of + each object. + +Affine transformations +~~~~~~~~~~~~~~~~~~~~~~~ + +**Method:** GeoSeries.rotate(self, angle, origin='center', use_radians=False) + + Rotate the coordinates of the GeoSeries. + +**Method:** GeoSeries.scale(self, xfact=1.0, yfact=1.0, zfact=1.0, origin='center') + + Scale the geometries of the GeoSeries along each (x, y, z) dimensio. + +**Method:** GeoSeries.skew(self, angle, origin='center', use_radians=False) + + Shear/Skew the geometries of the GeoSeries by angles along x and y dimensions. + +**Method:** GeoSeries.translate(self, angle, origin='center', use_radians=False) + + Shift the coordinates of the GeoSeries. + +`Aggregating methods` + + + + +.. sourcecode:: python + + >>> p1 = Polygon([(0, 0), (1, 0), (1, 1)]) + >>> p2 = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)]) + >>> p3 = Polygon([(2, 0), (3, 0), (3, 1), (2, 1)]) + >>> g = GeoSeries([p1, p2, p3]) + >>> g + 0 POLYGON ((0.0000000000000000 0.000000000000000... + 1 POLYGON ((0.0000000000000000 0.000000000000000... + 2 POLYGON ((2.0000000000000000 0.000000000000000... + dtype: object + +.. image:: _static/test.png + +Some geographic operations return normal pandas object. The ``area`` property of a ``GeoSeries`` will return a ``pandas.Series`` containing the area of each item in the ``GeoSeries``: + +.. sourcecode:: python + + >>> print g.area + 0 0.5 + 1 1.0 + 2 1.0 + dtype: float64 + +Other operations return GeoPandas objects: + +.. sourcecode:: python + + >>> g.buffer(0.5) + Out[15]: + 0 POLYGON ((-0.3535533905932737 0.35355339059327... + 1 POLYGON ((-0.5000000000000000 0.00000000000000... + 2 POLYGON ((1.5000000000000000 0.000000000000000... + dtype: object + +.. image:: _static/test_buffer.png + +GeoPandas objects also know how to plot themselves. GeoPandas uses `descartes`_ to generate a `matplotlib`_ plot. To generate a plot of our GeoSeries, use: + +.. sourcecode:: python + + >>> g.plot() + +GeoPandas also implements alternate constructors that can read any data format recognized by `fiona`_. To read a `file containing the boroughs of New York City`_: + +.. sourcecode:: python + + >>> boros = GeoDataFrame.from_file('nybb.shp') + >>> boros.set_index('BoroCode', inplace=True) + >>> boros.sort() + >>> boros + BoroName Shape_Area Shape_Leng \ + BoroCode + 1 Manhattan 6.364422e+08 358532.956418 + 2 Bronx 1.186804e+09 464517.890553 + 3 Brooklyn 1.959432e+09 726568.946340 + 4 Queens 3.049947e+09 861038.479299 + 5 Staten Island 1.623853e+09 330385.036974 + + geometry + BoroCode + 1 (POLYGON ((981219.0557861328125000 188655.3157... + 2 (POLYGON ((1012821.8057861328125000 229228.264... + 3 (POLYGON ((1021176.4790039062500000 151374.796... + 4 (POLYGON ((1029606.0765991210937500 156073.814... + 5 (POLYGON ((970217.0223999023437500 145643.3322... + +.. image:: _static/nyc.png + +.. sourcecode:: python + + >>> boros['geometry'].convex_hull + 0 POLYGON ((915517.6877458114176989 120121.88125... + 1 POLYGON ((1000721.5317993164062500 136681.7761... + 2 POLYGON ((988872.8212280273437500 146772.03179... + 3 POLYGON ((977855.4451904296875000 188082.32238... + 4 POLYGON ((1017949.9776000976562500 225426.8845... + dtype: object + +.. image:: _static/nyc_hull.png + +To demonstrate a more complex operation, we'll generate a +``GeoSeries`` containing 2000 random points: + +.. sourcecode:: python + + >>> from shapely.geometry import Point + >>> xmin, xmax, ymin, ymax = 900000, 1080000, 120000, 280000 + >>> xc = (xmax - xmin) * np.random.random(2000) + xmin + >>> yc = (ymax - ymin) * np.random.random(2000) + ymin + >>> pts = GeoSeries([Point(x, y) for x, y in zip(xc, yc)]) + +Now draw a circle with fixed radius around each point: + +.. sourcecode:: python + + >>> circles = pts.buffer(2000) + +We can collapse these circles into a single shapely MultiPolygon +geometry with + +.. sourcecode:: python + + >>> mp = circles.unary_union + +To extract the part of this geometry contained in each borough, we can +just use: + +.. sourcecode:: python + + >>> holes = boros['geometry'].intersection(mp) + +.. image:: _static/holes.png + +and to get the area outside of the holes: + +.. sourcecode:: python + + >>> boros_with_holes = boros['geometry'].difference(mp) + +.. image:: _static/boros_with_holes.png + +Note that this can be simplified a bit, since ``geometry`` is +available as an attribute on a ``GeoDataFrame``, and the +``intersection`` and ``difference`` methods are implemented with the +"&" and "-" operators, respectively. For example, the latter could +have been expressed simply as ``boros.geometry - mp``. + +It's easy to do things like calculate the fractional area in each +borough that are in the holes: + +.. sourcecode:: python + + >>> holes.area / boros.geometry.area + BoroCode + 1 0.602015 + 2 0.523457 + 3 0.585901 + 4 0.577020 + 5 0.559507 + dtype: float64 + +.. _Descartes: https://pypi.python.org/pypi/descartes +.. _matplotlib: http://matplotlib.org +.. _fiona: http://toblerity.github.io/fiona +.. _geopy: https://github.com/geopy/geopy +.. _geo_interface: https://gist.github.com/sgillies/2217756 +.. _file containing the boroughs of New York City: http://www.nyc.gov/html/dcp/download/bytes/nybb_14aav.zip + +.. toctree:: + :maxdepth: 2 + + diff --git a/doc/source/index.rst b/doc/source/index.rst index 6ea251b..6dde418 100644 --- a/doc/source/index.rst +++ b/doc/source/index.rst @@ -24,10 +24,18 @@ operations in python that would otherwise require a spatial database such as PostGIS. .. toctree:: - :maxdepth: 2 + :maxdepth: 2 Installation - User Guide + Data Structures + Reading and Writing Files + Making Maps + Managing Projections + Geometric Manipulations + Merging Data + Geocoding + Index of Attributes and Methods + Contributing to Geopandas About Indices and tables diff --git a/doc/source/user.rst b/doc/source/index_page.rst similarity index 63% rename from doc/source/user.rst rename to doc/source/index_page.rst index 05c8e3c..dccd038 100644 --- a/doc/source/user.rst +++ b/doc/source/index_page.rst @@ -1,24 +1,7 @@ -GeoPandas User Guide -==================== -GeoPandas implements two main data structures, a ``GeoSeries`` and a -``GeoDataFrame``. These are subclasses of pandas ``Series`` and -``DataFrame``, respectively. -GeoSeries ---------- - -A ``GeoSeries`` contains a sequence of geometries. - -The ``GeoSeries`` class implements nearly all of the attributes and -methods of Shapely objects. When applied to a ``GeoSeries``, they -will apply elementwise to all geometries in the series. Binary -operations can be applied between two ``GeoSeries``, in which case the -operation is carried out elementwise. The two series will be aligned -by matching indices. Binary operations can also be applied to a -single geometry, in which case the operation is carried out for each -element of the series with that geometry. In either case, a -``Series`` or a ``GeoSeries`` will be returned, as appropriate. +All Attributes and Methods +=========================== The following Shapely methods and attributes are available on ``GeoSeries`` objects: @@ -327,174 +310,3 @@ All pandas ``DataFrame`` methods are also available, although they may not operate in a meaningful way on the ``geometry`` column and may not return a ``GeoDataFrame`` result even when it would be appropriate to do so. - -Geopandas functions -------------------- - -.. function:: geopandas.geocode.geocode(strings, provider='googlev3', **kwargs) - - Geocode a list of strings and return a GeoDataFrame containing the - resulting points in its ``geometry`` column. Available - ``provider``s include ``googlev3``, ``bing``, ``google``, ``yahoo``, - ``mapquest``, and ``openmapquest``. ``**kwargs`` will be passed as - parameters to the appropriate geocoder. - - Requires `geopy`_. Please consult the Terms of Service for the - chosen provider. - -Examples --------- - -.. sourcecode:: python - - >>> p1 = Polygon([(0, 0), (1, 0), (1, 1)]) - >>> p2 = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)]) - >>> p3 = Polygon([(2, 0), (3, 0), (3, 1), (2, 1)]) - >>> g = GeoSeries([p1, p2, p3]) - >>> g - 0 POLYGON ((0.0000000000000000 0.000000000000000... - 1 POLYGON ((0.0000000000000000 0.000000000000000... - 2 POLYGON ((2.0000000000000000 0.000000000000000... - dtype: object - -.. image:: _static/test.png - -Some geographic operations return normal pandas object. The ``area`` property of a ``GeoSeries`` will return a ``pandas.Series`` containing the area of each item in the ``GeoSeries``: - -.. sourcecode:: python - - >>> print g.area - 0 0.5 - 1 1.0 - 2 1.0 - dtype: float64 - -Other operations return GeoPandas objects: - -.. sourcecode:: python - - >>> g.buffer(0.5) - Out[15]: - 0 POLYGON ((-0.3535533905932737 0.35355339059327... - 1 POLYGON ((-0.5000000000000000 0.00000000000000... - 2 POLYGON ((1.5000000000000000 0.000000000000000... - dtype: object - -.. image:: _static/test_buffer.png - -GeoPandas objects also know how to plot themselves. GeoPandas uses `descartes`_ to generate a `matplotlib`_ plot. To generate a plot of our GeoSeries, use: - -.. sourcecode:: python - - >>> g.plot() - -GeoPandas also implements alternate constructors that can read any data format recognized by `fiona`_. To read a `file containing the boroughs of New York City`_: - -.. sourcecode:: python - - >>> boros = GeoDataFrame.from_file('nybb.shp') - >>> boros.set_index('BoroCode', inplace=True) - >>> boros.sort() - >>> boros - BoroName Shape_Area Shape_Leng \ - BoroCode - 1 Manhattan 6.364422e+08 358532.956418 - 2 Bronx 1.186804e+09 464517.890553 - 3 Brooklyn 1.959432e+09 726568.946340 - 4 Queens 3.049947e+09 861038.479299 - 5 Staten Island 1.623853e+09 330385.036974 - - geometry - BoroCode - 1 (POLYGON ((981219.0557861328125000 188655.3157... - 2 (POLYGON ((1012821.8057861328125000 229228.264... - 3 (POLYGON ((1021176.4790039062500000 151374.796... - 4 (POLYGON ((1029606.0765991210937500 156073.814... - 5 (POLYGON ((970217.0223999023437500 145643.3322... - -.. image:: _static/nyc.png - -.. sourcecode:: python - - >>> boros['geometry'].convex_hull - 0 POLYGON ((915517.6877458114176989 120121.88125... - 1 POLYGON ((1000721.5317993164062500 136681.7761... - 2 POLYGON ((988872.8212280273437500 146772.03179... - 3 POLYGON ((977855.4451904296875000 188082.32238... - 4 POLYGON ((1017949.9776000976562500 225426.8845... - dtype: object - -.. image:: _static/nyc_hull.png - -To demonstrate a more complex operation, we'll generate a -``GeoSeries`` containing 2000 random points: - -.. sourcecode:: python - - >>> from shapely.geometry import Point - >>> xmin, xmax, ymin, ymax = 900000, 1080000, 120000, 280000 - >>> xc = (xmax - xmin) * np.random.random(2000) + xmin - >>> yc = (ymax - ymin) * np.random.random(2000) + ymin - >>> pts = GeoSeries([Point(x, y) for x, y in zip(xc, yc)]) - -Now draw a circle with fixed radius around each point: - -.. sourcecode:: python - - >>> circles = pts.buffer(2000) - -We can collapse these circles into a single shapely MultiPolygon -geometry with - -.. sourcecode:: python - - >>> mp = circles.unary_union - -To extract the part of this geometry contained in each borough, we can -just use: - -.. sourcecode:: python - - >>> holes = boros['geometry'].intersection(mp) - -.. image:: _static/holes.png - -and to get the area outside of the holes: - -.. sourcecode:: python - - >>> boros_with_holes = boros['geometry'].difference(mp) - -.. image:: _static/boros_with_holes.png - -Note that this can be simplified a bit, since ``geometry`` is -available as an attribute on a ``GeoDataFrame``, and the -``intersection`` and ``difference`` methods are implemented with the -"&" and "-" operators, respectively. For example, the latter could -have been expressed simply as ``boros.geometry - mp``. - -It's easy to do things like calculate the fractional area in each -borough that are in the holes: - -.. sourcecode:: python - - >>> holes.area / boros.geometry.area - BoroCode - 1 0.602015 - 2 0.523457 - 3 0.585901 - 4 0.577020 - 5 0.559507 - dtype: float64 - -.. _Descartes: https://pypi.python.org/pypi/descartes -.. _matplotlib: http://matplotlib.org -.. _fiona: http://toblerity.github.io/fiona -.. _geopy: https://github.com/geopy/geopy -.. _geo_interface: https://gist.github.com/sgillies/2217756 -.. _file containing the boroughs of New York City: http://www.nyc.gov/html/dcp/download/bytes/nybb_14aav.zip - -.. toctree:: - :maxdepth: 2 - - diff --git a/doc/source/install.rst b/doc/source/install.rst index 268e5af..3833fbe 100644 --- a/doc/source/install.rst +++ b/doc/source/install.rst @@ -1,16 +1,19 @@ Installation ============ +Installing GeoPandas +--------------------- + To install the released version, you can use pip:: pip install geopandas -or you can install the conda package from the IOOS channel:: +or you can install the conda package from the conda-forge channel:: - conda install -c ioos geopandas + conda install -c conda-forge geopandas You may install the latest development version by cloning the -`GitHub`_ repository and using the setup script:: +`GitHub` repository and using the setup script:: git clone https://github.com/geopandas/geopandas.git cd geopandas @@ -24,63 +27,5 @@ repository with:: pip install git+git://github.com/geopandas/geopandas.git -Dependencies ------------- - -GeoPandas supports Python versions 2.6, 2.7, and 3.3+. The required -dependencies are: - -- `numpy`_ -- `pandas`_ (version 0.13 or later) -- `shapely`_ -- `fiona`_ -- `six`_ -- `pyproj`_ - -Further, optional dependencies are: - -- `geopy`_ 0.99 (optional; for geocoding) -- `psycopg2`_ (optional; for PostGIS connection) - -For plotting, these additional packages may be used: - -- `matplotlib`_ -- `descartes`_ -- `pysal`_ - -Further, `rtree`_ is an optional dependency. ``rtree`` requires the C library -`libspatialindex`_. If using brew, you can install using -``brew install Spatialindex``. - -Testing -------- - -To run the current set of tests from the source directory, run:: - - nosetests -v - -from a command line. - -Tests are automatically run on all commits on the GitHub repository, -including pull requests, on `Travis CI`_. - -.. _PyPI: https://pypi.python.org/pypi/geopandas -.. _GitHub: https://github.com/geopandas/geopandas -.. _numpy: http://www.numpy.org -.. _pandas: http://pandas.pydata.org -.. _shapely: http://toblerity.github.io/shapely -.. _fiona: http://toblerity.github.io/fiona -.. _Descartes: https://pypi.python.org/pypi/descartes -.. _matplotlib: http://matplotlib.org -.. _geopy: https://github.com/geopy/geopy -.. _six: https://pythonhosted.org/six -.. _psycopg2: https://pypi.python.org/pypi/psycopg2 -.. _pysal: http://pysal.org -.. _pyproj: https://github.com/jswhit/pyproj -.. _rtree: https://github.com/Toblerity/rtree -.. _libspatialindex: https://github.com/libspatialindex/libspatialindex -.. _Travis CI: https://travis-ci.org/geopandas/geopandas - - .. toctree:: :maxdepth: 2 diff --git a/doc/source/io.rst b/doc/source/io.rst new file mode 100644 index 0000000..b4d591d --- /dev/null +++ b/doc/source/io.rst @@ -0,0 +1,29 @@ + +Reading and Writing Files +========================================= + + + +Reading Spatial Data +--------------------- + +*geopandas* can read almost any standard spatial data format including ESRI shapefile, GeoJSON files and more using the command: + + gpd.read_file() + +which returns a GeoDataFrame object. (This is possible because *geopandas* makes use of the great *fiona* library, which in turn makes use of a massive open-source program called `GDAL/OGR `_ designed to facilitate spatial data transformations). + +Any arguments passed to ``read_file()`` after the file name will be passed directly to ``fiona.open``, which does the actual data importation. In general, ``read_file`` is pretty smart and should do what you want without extra arguments, but for more help, type: + + import fiona; help(fiona.open) + +Among other things, one can explicitly set the driver (shapefile, GeoJSON) with the ``driver`` keyword, or pick a single layer from a multi-layered file with the ``layer`` keyword. + +*geopandas* can also get data from a PostGIS database using the ``read_postgis()`` command. + + +Writing Spatial Data +--------------------- + +GeoDataFrames can be exported to many different standard formats using the ``GeoDataFrame.to_file()`` method. For a full list of supported formats, type ``import fiona; fiona.supported_drivers``. + diff --git a/doc/source/mapping.rst b/doc/source/mapping.rst new file mode 100644 index 0000000..140102b --- /dev/null +++ b/doc/source/mapping.rst @@ -0,0 +1,36 @@ +.. currentmodule:: geopandas + +.. ipython:: python + :suppress: + + import geopandas as gpd + world = gpd.GeoDataFrame().from_file('source/_example_data/naturalearth_lowres.shp') + + + +Mapping Tools +========================================= + +mapping! + + +Chloropleth Maps +----------------- + +.. ipython:: python + + # Examine country GeoDataFrame + world.head() + + # Basic plot, random colors + @savefig world_randomcolors.png width=5in + world.plot(); + + # Plot by GDP per capta + world['gdp_per_cap'] = world.gdp_md_est / world.pop_est + @savefig world_gdp_per_cap.png width=5in + world.plot(column='gdp_per_cap'); + + +Adding Basemaps +----------------- diff --git a/doc/source/mergingdata.rst b/doc/source/mergingdata.rst new file mode 100644 index 0000000..66233af --- /dev/null +++ b/doc/source/mergingdata.rst @@ -0,0 +1,15 @@ + +Merging Data +========================================= + + +Attribute Joins +---------------- + +[TO BE COMPLETED -- EXAMPLES OF JOINING GDF WITH PANDAS DATAFRAME] + + +Spatial Joins +---------------- + +[TO BE COMPLETED -- EXAMPLES OF SPATIAL JOINS] diff --git a/doc/source/projections.rst b/doc/source/projections.rst new file mode 100644 index 0000000..18dcac1 --- /dev/null +++ b/doc/source/projections.rst @@ -0,0 +1,71 @@ +.. currentmodule:: geopandas + +.. ipython:: python + :suppress: + + import geopandas as gpd + world = gpd.GeoDataFrame().from_file('source/_example_data/naturalearth_lowres.shp') + + + +Managing Projections +========================================= + + + +Coordinate Reference Systems +----------------------------- + +CRS are important because the geometric shapes in a GeoSeries or GeoDataFrame object are simply a collection of coordinates in an arbitrary space. A CRS tells Python how those coordinates related to places on the Earth. + +CRS are referred to using codes called `proj4 strings `_. You can find the codes for most commonly used projections from `www.spatialreference.org `_ or `remotesensing.org `_. + +The same CRS can often be referred to in many ways. For example, one of the most commonly used CRS is the WGS84 latitude-longitude projection. One `proj4` representation of this projection is: ``"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"``. But common projections can also be referred to by `EPSG` codes, so this same projection can also called using the `proj4` string ``"+init=epsg:4326"``. + +*geopandas* can accept lots of representations of CRS, including the `proj4` string itself (``"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"``) or parameters broken out in a dictionary: ``{'proj': 'latlong', 'ellps': 'WGS84', 'datum': 'WGS84', 'no_defs': True}``). In addition, some functions will take `EPSG` codes directly. + +For reference, a few very common projections and their proj4 strings: + +* WGS84 Latitude/Longitude: ``"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"`` or ``"+init=epsg:4326"`` +* UTM Zones (North): ``"+proj=utm +zone=33 +ellps=WGS84 +datum=WGS84 +units=m +no_defs" +* UTM Zones (South): ``"+proj=utm +zone=33 +ellps=WGS84 +datum=WGS84 +units=m +no_defs +south" + +Setting a Projection +---------------------- + +There are two relevant operations for projections: setting a projection and re-projecting. + +Setting a projection is when for some reason *geopandas* has coordinate data (x-y values), but no information about how those coordinates refer to locations in the real world. Setting a projection is how one tells *geopandas* how to interpret coordinates. + +Be aware that **most of the time** you don't have to set a projection. Data loaded from a reputable source (using the ``from_file()`` command) *should* always include projection information. You can see an objects current CRS through the ``crs`` attribute: ``my_geoseries.crs``. + +From time to time, however, you may get data that does not include a projection. In this situation, you have to set the CRS so *geopandas* knows how to interpret the coordinates. + +For example, if you convert a spreadsheet of latitudes and longitudes into a GeoSeries by hand, you would set the projection by assigning the WGS84 latitude-longitude CRS to the ``crs`` attribute: + +.. sourcecode:: python + + my_geoseries.crs = {'init' :'epsg:4326'} + + +Re-Projecting +---------------- + +Re-projecting is the process of changing the representation of locations from one coordinate system to another. All projections of locations on the Earth into a two-dimensional plane `are distortions `_, the projection that is best for your application may be different from the projection associated with the data you import. In these cases, data can be re-projected using the ``to_crs`` command: + +.. ipython:: python + + # Check original projection + # (it's Platte Carre! x-y are long and lat) + world.crs + + # Visualize + @savefig world_starting.png width=3in + world.plot(); + + # Reproject to Mercator (after dropping Antartica) + world = world[(world.name != "Antarctica") & (world.name != "Fr. S. Antarctic Lands")] + world = world.to_crs({'init': 'epsg:3395'}) # world.to_crs(epsg=3395) would also work + @savefig world_reproj.png width=3in + world.plot(); + diff --git a/geopandas/geodataframe.py b/geopandas/geodataframe.py index 75925a0..a9e5adb 100644 --- a/geopandas/geodataframe.py +++ b/geopandas/geodataframe.py @@ -351,6 +351,7 @@ class GeoDataFrame(GeoPandasBase, DataFrame): projection, not geodesics. Objects crossing the dateline (or other projection boundary) will have undesirable behavior. """ + if inplace: df = self else: diff --git a/requirements_rtd.txt b/requirements_rtd.txt index e69de29..121d984 100644 --- a/requirements_rtd.txt +++ b/requirements_rtd.txt @@ -0,0 +1 @@ +pip install sphinx_rtd_theme \ No newline at end of file From 623634113d5367702234f8d5d97c9f5e980a3d27 Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Wed, 30 Mar 2016 12:01:37 -0700 Subject: [PATCH 11/31] Edits for kjordahl comments --- doc/source/contributing.rst | 6 +++--- doc/source/dtypes.rst | 18 +++++++++--------- doc/source/io.rst | 2 +- doc/source/projections.rst | 6 +++--- geopandas/geodataframe.py | 1 - 5 files changed, 16 insertions(+), 17 deletions(-) diff --git a/doc/source/contributing.rst b/doc/source/contributing.rst index 50f3296..282d744 100644 --- a/doc/source/contributing.rst +++ b/doc/source/contributing.rst @@ -20,11 +20,11 @@ In particular, when submitting a pull request: - All existing tests should pass. Please make sure that the test suite passes, both locally and on - [Travis CI](https://travis-ci.org/geopandas/geopandas). Status on + `Travis CI `_. Status on Travis will be visible on a pull request. If you want to enable Travis CI on your own fork, please read the pandas guidelines link above or the - [getting started docs](http://about.travis-ci.org/docs/user/getting-started/). + `getting started docs `_. - New functionality should include tests. Please write reasonable tests for your code and make sure that they pass on your pull request. @@ -36,7 +36,7 @@ In particular, when submitting a pull request: - GeoPandas supports python 2 (2.6+) and python 3 (3.2+) with a single code base. Use modern python idioms when possible that are compatibile with both major versions, and use the - [six](https://pythonhosted.org/six) library where helpful to smooth + `six `_ library where helpful to smooth over the differences. Use `from __future__ import` statements where appropriate. Test code locally in both python 2 and python 3 when possible (all supported versions will be automatically tested on diff --git a/doc/source/dtypes.rst b/doc/source/dtypes.rst index 3d37cae..c9c91a4 100644 --- a/doc/source/dtypes.rst +++ b/doc/source/dtypes.rst @@ -23,13 +23,13 @@ of only one shape (like a single polygon) or multiple shapes that are meant to be thought of as one observation (like the many polygons that make up the State of Hawaii or a country like Indonesia). -*geopandas* has three classes of geometric objects (which are actually *shapely* objects): +*geopandas* has three basic classes of geometric objects (which are actually *shapely* objects): -* Points -* Lines -* Polygons +* Points / Multi-Points +* Lines / Multi-Lines +* Polygons / Multi-Polygons -All entries in a ``GeoSeries`` must be of the same geometric type. +Note that all entries in a ``GeoSeries`` need not be of the same geometric type, although certain export operations will fail if this is not the case. Overview of Attributes and Methods ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -78,13 +78,13 @@ Relationship Tests GeoDataFrame ------------ -A ``GeoDataFrame`` is a tablular data structure that contains contains a ``GeoSeries``. +A ``GeoDataFrame`` is a tablular data structure that contains a ``GeoSeries``. -The most important property of a ``GeoDataFrame`` is that it always has one ``GeoSeries`` that holds a special status. This ``GeoSeries`` is referred to as the ``GeoDataFrame``'s "geometry". When a spatial method is applied to a ``GeoDataFrame`` (or a spatial attribute like ``area`` is called), this commands will always act on the "geometry" column. +The most important property of a ``GeoDataFrame`` is that it always has one ``GeoSeries`` column that holds a special status. This ``GeoSeries`` is referred to as the ``GeoDataFrame``'s "geometry". When a spatial method is applied to a ``GeoDataFrame`` (or a spatial attribute like ``area`` is called), this commands will always act on the "geometry" column. -The "geometry" column -- no matter it's name -- can be accessed through the ``geometry`` attribute (``gdf.geometry``), and the name of the ``geometry`` column can be found by typing ``gdf.geometry.name``. +The "geometry" column -- no matter its name -- can be accessed through the ``geometry`` attribute (``gdf.geometry``), and the name of the ``geometry`` column can be found by typing ``gdf.geometry.name``. -A ``GeoDataFrame`` may also contain other ``GeoSeries``, but only one ``GeoSeries`` can be the active geometry at a time. To change which ``GeoSeries`` is the geometry, use the ``set_geometry`` function: +A ``GeoDataFrame`` may also contain other ``GeoSeries``, but only one ``GeoSeries`` can be the active geometry at a time. To change which ``GeoSeries`` is the geometry, use the ``set_geometry`` method: .. ipython:: python diff --git a/doc/source/io.rst b/doc/source/io.rst index b4d591d..98877a9 100644 --- a/doc/source/io.rst +++ b/doc/source/io.rst @@ -7,7 +7,7 @@ Reading and Writing Files Reading Spatial Data --------------------- -*geopandas* can read almost any standard spatial data format including ESRI shapefile, GeoJSON files and more using the command: +*geopandas* can read almost any vector-based spatial data format including ESRI shapefile, GeoJSON files and more using the command: gpd.read_file() diff --git a/doc/source/projections.rst b/doc/source/projections.rst index 18dcac1..68af5be 100644 --- a/doc/source/projections.rst +++ b/doc/source/projections.rst @@ -27,15 +27,15 @@ The same CRS can often be referred to in many ways. For example, one of the most For reference, a few very common projections and their proj4 strings: * WGS84 Latitude/Longitude: ``"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"`` or ``"+init=epsg:4326"`` -* UTM Zones (North): ``"+proj=utm +zone=33 +ellps=WGS84 +datum=WGS84 +units=m +no_defs" -* UTM Zones (South): ``"+proj=utm +zone=33 +ellps=WGS84 +datum=WGS84 +units=m +no_defs +south" +* UTM Zones (North): ``"+proj=utm +zone=33 +ellps=WGS84 +datum=WGS84 +units=m +no_defs"`` +* UTM Zones (South): ``"+proj=utm +zone=33 +ellps=WGS84 +datum=WGS84 +units=m +no_defs +south"`` Setting a Projection ---------------------- There are two relevant operations for projections: setting a projection and re-projecting. -Setting a projection is when for some reason *geopandas* has coordinate data (x-y values), but no information about how those coordinates refer to locations in the real world. Setting a projection is how one tells *geopandas* how to interpret coordinates. +Setting a projection may be necessary when for some reason *geopandas* has coordinate data (x-y values), but no information about how those coordinates refer to locations in the real world. Setting a projection is how one tells *geopandas* how to interpret coordinates. If no CRS is set, *geopandas* geometry operations will still work, but coordinate transformations will not be possible and exported files may not be interpreted correctly by other software. Be aware that **most of the time** you don't have to set a projection. Data loaded from a reputable source (using the ``from_file()`` command) *should* always include projection information. You can see an objects current CRS through the ``crs`` attribute: ``my_geoseries.crs``. diff --git a/geopandas/geodataframe.py b/geopandas/geodataframe.py index a9e5adb..75925a0 100644 --- a/geopandas/geodataframe.py +++ b/geopandas/geodataframe.py @@ -351,7 +351,6 @@ class GeoDataFrame(GeoPandasBase, DataFrame): projection, not geodesics. Objects crossing the dateline (or other projection boundary) will have undesirable behavior. """ - if inplace: df = self else: From 54ca8b90e6e12222c7acef885540bf7b375ba667 Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Thu, 31 Mar 2016 09:38:36 -0700 Subject: [PATCH 12/31] integrate jorisvandenbossche comments --- .gitignore | 2 + doc/source/_static/world_borders.png | Bin 97302 -> 0 bytes doc/source/_static/world_centroids.png | Bin 21246 -> 0 bytes doc/source/_static/world_randomcolors.png | Bin 97302 -> 0 bytes doc/source/_static/world_reproj.png | Bin 85624 -> 0 bytes doc/source/_static/world_starting.png | Bin 97302 -> 0 bytes doc/source/contributing.rst | 13 ++-- .../{dtypes.rst => data_structures.rst} | 2 +- doc/source/geometric_manipulations.rst | 32 ++++----- doc/source/index.rst | 4 +- doc/source/install.rst | 66 ++++++++++++++++++ doc/source/io.rst | 2 +- doc/source/mapping.rst | 2 +- doc/source/{index_page.rst => reference.rst} | 2 +- 14 files changed, 95 insertions(+), 30 deletions(-) delete mode 100644 doc/source/_static/world_borders.png delete mode 100644 doc/source/_static/world_centroids.png delete mode 100644 doc/source/_static/world_randomcolors.png delete mode 100644 doc/source/_static/world_reproj.png delete mode 100644 doc/source/_static/world_starting.png rename doc/source/{dtypes.rst => data_structures.rst} (99%) rename doc/source/{index_page.rst => reference.rst} (99%) diff --git a/.gitignore b/.gitignore index 3d5a618..a8d7cd8 100644 --- a/.gitignore +++ b/.gitignore @@ -6,3 +6,5 @@ doc/_build geopandas.egg-info geopandas/version.py *.py~ +doc/_static/world_* +examples/nybb_*.zip \ No newline at end of file diff --git a/doc/source/_static/world_borders.png b/doc/source/_static/world_borders.png deleted file mode 100644 index 49c813e6fd3c2e404ebe291872d83c1a2fa91051..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 97302 zcmeEug;$kbw=aSqC?TkH3KB|4Hz+MFAfR-2Hxd>tAl)FMAl+TkUD7Sx-F@f&#yR8O z`ybpp#@XX#yj$ID_OqV3=KR$nKv7;2>n`zKBqSuPS5jh1NJuD@NJz-)=xFda@y?%Y 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etFI67Z{dOOLgC7c*j|98L}bLdGcBjn?)(87!88H@ diff --git a/doc/source/contributing.rst b/doc/source/contributing.rst index 282d744..6611eed 100644 --- a/doc/source/contributing.rst +++ b/doc/source/contributing.rst @@ -229,21 +229,18 @@ Here are some references: 3) Installing Dependencies --------------------------- -To run *geopandas* in an development environment, you must first install *geopandas*'s dependencies. We suggest doing so using the following commands (executed after your development environment has been activated): +To run *geopandas* in an development environment, you must first install *geopandas*'s dependencies. We suggest doing so using the following commands (executed after your development environment has been activated):: - conda install fiona -c conda-forge - conda install shapely -c conda-forge - conda install pyproj -c conda-forge + conda install -c conda-forge fiona shapely pyproj rtree conda install pandas -This should install all necessary dependencies. The only exception is `rtree`_, which is an optional dependency. ``rtree`` requires the C library `libspatialindex`_. If using brew, you can install using ``brew install Spatialindex``. - +This should install all necessary dependencies. 4) Making a development build ------------------------------------- -Once dependencies are in place, make an in-place build by navigating to the git clone of the *geopandas* repository and running: +Once dependencies are in place, make an in-place build by navigating to the git clone of the *geopandas* repository and running:: python setup.py develop @@ -313,7 +310,7 @@ install *geopandas*) by typing:: *geopandas* documentation resides in the `doc` folder. Changes to the docs are make by modifying the appropriate file in the `source` folder within `doc`. *geopandas* docs us reStructuredText syntax, `which is explained here `_. -Once you have made your changes, you can build the docs by navigating to the `doc` folder and typing: +Once you have made your changes, you can build the docs by navigating to the `doc` folder and typing:: make html diff --git a/doc/source/dtypes.rst b/doc/source/data_structures.rst similarity index 99% rename from doc/source/dtypes.rst rename to doc/source/data_structures.rst index c9c91a4..a49b759 100644 --- a/doc/source/dtypes.rst +++ b/doc/source/data_structures.rst @@ -45,7 +45,7 @@ element of the series with that geometry. In either case, a ``Series`` or a ``GeoSeries`` will be returned, as appropriate. A short summary of a few attributes and methods for GeoSeries is -presented here, and a full list can be found in the :doc:`all attributes and methods page `. +presented here, and a full list can be found in the :doc:`all attributes and methods page `. There is also a family of methods for creating new shapes by expanding existing shapes or applying set-theoretic operations like "union" described in :doc:`geometric manipulations `. diff --git a/doc/source/geometric_manipulations.rst b/doc/source/geometric_manipulations.rst index b4f6b97..2996ee2 100644 --- a/doc/source/geometric_manipulations.rst +++ b/doc/source/geometric_manipulations.rst @@ -1,5 +1,5 @@ -GeoPandas User Guide -==================== +Geometric Manipulations +======================== @@ -7,33 +7,33 @@ GeoPandas User Guide Set-theoretic Methods ~~~~~~~~~~~~~~~~~~~~~ -**Attribute:** GeoSeries.boundary +.. attribute:: GeoSeries.boundary Returns a ``GeoSeries`` of lower dimensional objects representing each geometries's set-theoretic `boundary`. -**Method:** GeoSeries.difference(other) +.. method:: GeoSeries.difference(other) Returns a ``GeoSeries`` of the points in each geometry that are not in the *other* object. -**Method:** GeoSeries.intersection(other) +.. method:: GeoSeries.intersection(other) Returns a ``GeoSeries`` of the intersection of each object with the `other` geometric object. -**Method:** GeoSeries.symmetric_difference(other) +.. method:: GeoSeries.symmetric_difference(other) Returns a ``GeoSeries`` of the points in each object not in the `other` geometric object, and the points in the `other` not in this object. -**Method:** GeoSeries.union(other) +.. method:: GeoSeries.union(other) Returns a ``GeoSeries`` of the union of points from each object and the `other` geometric object. -**Attribute:** GeoSeries.unary_union +.. attribute:: GeoSeries.unary_union Return a geometry containing the union of all geometries in the ``GeoSeries``. @@ -41,25 +41,25 @@ Set-theoretic Methods Constructive Methods ~~~~~~~~~~~~~~~~~~~~~ -**Method:** GeoSeries.buffer(distance, resolution=16) +.. method:: GeoSeries.buffer(distance, resolution=16) Returns a ``GeoSeries`` of geometries representing all points within a given `distance` of each geometric object. -**Attribute:** GeoSeries.convex_hull +.. attribute:: GeoSeries.convex_hull Returns a ``GeoSeries`` of geometries representing the smallest convex `Polygon` containing all the points in each object unless the number of points in the object is less than three. For two points, the convex hull collapses to a `LineString`; for 1, a `Point`. -**Attribute:** GeoSeries.envelope +.. attribute:: GeoSeries.envelope Returns a ``GeoSeries`` of geometries representing the point or smallest rectangular polygon (with sides parallel to the coordinate axes) that contains each object. -**Method:** GeoSeries.simplify(tolerance, preserve_topology=True) +.. method:: GeoSeries.simplify(tolerance, preserve_topology=True) Returns a ``GeoSeries`` containing a simplified representation of each object. @@ -67,19 +67,19 @@ Constructive Methods Affine transformations ~~~~~~~~~~~~~~~~~~~~~~~ -**Method:** GeoSeries.rotate(self, angle, origin='center', use_radians=False) +.. method:: GeoSeries.rotate(self, angle, origin='center', use_radians=False) Rotate the coordinates of the GeoSeries. -**Method:** GeoSeries.scale(self, xfact=1.0, yfact=1.0, zfact=1.0, origin='center') +.. method:: GeoSeries.scale(self, xfact=1.0, yfact=1.0, zfact=1.0, origin='center') Scale the geometries of the GeoSeries along each (x, y, z) dimensio. -**Method:** GeoSeries.skew(self, angle, origin='center', use_radians=False) +.. method:: GeoSeries.skew(self, angle, origin='center', use_radians=False) Shear/Skew the geometries of the GeoSeries by angles along x and y dimensions. -**Method:** GeoSeries.translate(self, angle, origin='center', use_radians=False) +.. method:: GeoSeries.translate(self, angle, origin='center', use_radians=False) Shift the coordinates of the GeoSeries. diff --git a/doc/source/index.rst b/doc/source/index.rst index 6dde418..9b7abfa 100644 --- a/doc/source/index.rst +++ b/doc/source/index.rst @@ -27,14 +27,14 @@ such as PostGIS. :maxdepth: 2 Installation - Data Structures + Data Structures Reading and Writing Files Making Maps Managing Projections Geometric Manipulations Merging Data Geocoding - Index of Attributes and Methods + Reference to All Attributes and Methods Contributing to Geopandas About diff --git a/doc/source/install.rst b/doc/source/install.rst index 3833fbe..7effef5 100644 --- a/doc/source/install.rst +++ b/doc/source/install.rst @@ -26,6 +26,72 @@ repository with:: pip install git+git://github.com/geopandas/geopandas.git +Dependencies +-------------- + +Installation via `conda` should also install all dependencies, but a complete list is as follows: + +- `numpy`_ +- `pandas`_ (version 0.13 or later) +- `shapely`_ +- `fiona`_ +- `six`_ +- `pyproj`_ + +Further, optional dependencies are: + +- `geopy`_ 0.99 (optional; for geocoding) +- `psycopg2`_ (optional; for PostGIS connection) +- `rtree`_ (optional; spatial index to improve performance) + +For plotting, these additional packages may be used: + +- `matplotlib`_ +- `descartes`_ +- `pysal`_ + +These can be installed independently via the following set of commands:: + + conda install -c conda-forge fiona shapely pyproj rtree + conda install pandas + + + + + + .. toctree:: :maxdepth: 2 + +.. _PyPI: https://pypi.python.org/pypi/geopandas + +.. _GitHub: https://github.com/geopandas/geopandas + +.. _numpy: http://www.numpy.org + +.. _pandas: http://pandas.pydata.org + +.. _shapely: http://toblerity.github.io/shapely + +.. _fiona: http://toblerity.github.io/fiona + +.. _Descartes: https://pypi.python.org/pypi/descartes + +.. _matplotlib: http://matplotlib.org + +.. _geopy: https://github.com/geopy/geopy + +.. _six: https://pythonhosted.org/six + +.. _psycopg2: https://pypi.python.org/pypi/psycopg2 + +.. _pysal: http://pysal.org + +.. _pyproj: https://github.com/jswhit/pyproj + +.. _rtree: https://github.com/Toblerity/rtree + +.. _libspatialindex: https://github.com/libspatialindex/libspatialindex + +.. _Travis CI: https://travis-ci.org/geopandas/geopandas diff --git a/doc/source/io.rst b/doc/source/io.rst index 98877a9..a19b327 100644 --- a/doc/source/io.rst +++ b/doc/source/io.rst @@ -11,7 +11,7 @@ Reading Spatial Data gpd.read_file() -which returns a GeoDataFrame object. (This is possible because *geopandas* makes use of the great *fiona* library, which in turn makes use of a massive open-source program called `GDAL/OGR `_ designed to facilitate spatial data transformations). +which returns a GeoDataFrame object. (This is possible because *geopandas* makes use of the great `fiona `_ library, which in turn makes use of a massive open-source program called `GDAL/OGR `_ designed to facilitate spatial data transformations). Any arguments passed to ``read_file()`` after the file name will be passed directly to ``fiona.open``, which does the actual data importation. In general, ``read_file`` is pretty smart and should do what you want without extra arguments, but for more help, type: diff --git a/doc/source/mapping.rst b/doc/source/mapping.rst index 140102b..2045729 100644 --- a/doc/source/mapping.rst +++ b/doc/source/mapping.rst @@ -29,7 +29,7 @@ Chloropleth Maps # Plot by GDP per capta world['gdp_per_cap'] = world.gdp_md_est / world.pop_est @savefig world_gdp_per_cap.png width=5in - world.plot(column='gdp_per_cap'); + world.plot(column='gdp_per_cap'); Adding Basemaps diff --git a/doc/source/index_page.rst b/doc/source/reference.rst similarity index 99% rename from doc/source/index_page.rst rename to doc/source/reference.rst index dccd038..a05e840 100644 --- a/doc/source/index_page.rst +++ b/doc/source/reference.rst @@ -1,6 +1,6 @@ -All Attributes and Methods +Reference =========================== The following Shapely methods and attributes are available on From 9d68a8237f99ed897952d170e944d7acb27adc66 Mon Sep 17 00:00:00 2001 From: Micah Cochran Date: Fri, 8 Apr 2016 09:45:19 -0500 Subject: [PATCH 13/31] Update nybb url. Change download_nybb() to return shapefile name within the zip file. --- README.md | 2 +- examples/nyc_boros.py | 2 +- tests/test_geodataframe.py | 10 +++++----- tests/test_io.py | 7 +++---- tests/test_overlay.py | 4 ++-- tests/test_sindex.py | 7 +++---- tests/test_sjoin.py | 6 +++--- tests/util.py | 19 +++++++++++++++---- 8 files changed, 33 insertions(+), 24 deletions(-) diff --git a/README.md b/README.md index 744836b..4a410bc 100644 --- a/README.md +++ b/README.md @@ -80,7 +80,7 @@ GeoPandas objects also know how to plot themselves. GeoPandas uses [descartes]( >>> g.plot() -GeoPandas also implements alternate constructors that can read any data format recognized by [fiona](http://toblerity.github.io/fiona). To read a [file containing the boroughs of New York City](http://www.nyc.gov/html/dcp/download/bytes/nybb_14aav.zip): +GeoPandas also implements alternate constructors that can read any data format recognized by [fiona](http://toblerity.github.io/fiona). To read a [file containing the boroughs of New York City](http://www1.nyc.gov/assets/planning/download/zip/data-maps/open-data/nybb_16a.zip): >>> boros = GeoDataFrame.from_file('nybb.shp') >>> boros.set_index('BoroCode', inplace=True) diff --git a/examples/nyc_boros.py b/examples/nyc_boros.py index 6db6ec5..3e70210 100644 --- a/examples/nyc_boros.py +++ b/examples/nyc_boros.py @@ -14,7 +14,7 @@ from geopandas import GeoSeries, GeoDataFrame np.random.seed(1) DPI = 100 -# http://www.nyc.gov/html/dcp/download/bytes/nybb_14aav.zip +# http://www1.nyc.gov/assets/planning/download/zip/data-maps/open-data/nybb_16a.zip boros = GeoDataFrame.from_file('nybb.shp') boros.set_index('BoroCode', inplace=True) boros.sort() diff --git a/tests/test_geodataframe.py b/tests/test_geodataframe.py index ea4a59e..9bc1bf7 100644 --- a/tests/test_geodataframe.py +++ b/tests/test_geodataframe.py @@ -21,10 +21,10 @@ class TestDataFrame(unittest.TestCase): def setUp(self): N = 10 - nybb_filename = download_nybb() + nybb_filename, nybb_zip_path = download_nybb() - self.df = read_file('/nybb_14a_av/nybb.shp', vfs='zip://' + nybb_filename) - with fiona.open('/nybb_14a_av/nybb.shp', vfs='zip://' + nybb_filename) as f: + self.df = read_file(nybb_zip_path, vfs='zip://' + nybb_filename) + with fiona.open(nybb_zip_path, vfs='zip://' + nybb_filename) as f: self.schema = f.schema self.tempdir = tempfile.mkdtemp() self.boros = self.df['BoroName'] @@ -373,8 +373,8 @@ class TestDataFrame(unittest.TestCase): self.assertTrue(all(df2['geometry'].geom_almost_equals(utm['geometry'], decimal=2))) def test_from_features(self): - nybb_filename = download_nybb() - with fiona.open('/nybb_14a_av/nybb.shp', + nybb_filename, nybb_zip_path = download_nybb() + with fiona.open(nybb_zip_path, vfs='zip://' + nybb_filename) as f: features = list(f) crs = f.crs diff --git a/tests/test_io.py b/tests/test_io.py index ec04bd7..3e838aa 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -9,11 +9,10 @@ from .util import PANDAS_NEW_SQL_API, unittest class TestIO(unittest.TestCase): def setUp(self): - nybb_filename = tests.util.download_nybb() - path = '/nybb_14a_av/nybb.shp' + nybb_filename, nybb_zip_path = tests.util.download_nybb() vfs = 'zip://' + nybb_filename - self.df = read_file(path, vfs=vfs) - with fiona.open(path, vfs=vfs) as f: + self.df = read_file(nybb_zip_path, vfs=vfs) + with fiona.open(nybb_zip_path, vfs=vfs) as f: self.crs = f.crs def test_read_postgis_default(self): diff --git a/tests/test_overlay.py b/tests/test_overlay.py index 4d0961f..2ac7c1c 100644 --- a/tests/test_overlay.py +++ b/tests/test_overlay.py @@ -12,9 +12,9 @@ class TestDataFrame(unittest.TestCase): def setUp(self): N = 10 - nybb_filename = download_nybb() + nybb_filename, nybb_zip_path = download_nybb() - self.polydf = read_file('/nybb_14a_av/nybb.shp', vfs='zip://' + nybb_filename) + self.polydf = read_file(nybb_zip_path, vfs='zip://' + nybb_filename) self.tempdir = tempfile.mkdtemp() self.crs = {'init': 'epsg:4326'} b = [int(x) for x in self.polydf.total_bounds] diff --git a/tests/test_sindex.py b/tests/test_sindex.py index 3ed3201..8a91865 100644 --- a/tests/test_sindex.py +++ b/tests/test_sindex.py @@ -7,7 +7,7 @@ from shapely.geometry import (Polygon, Point, LineString, MultiPoint, MultiLineString, MultiPolygon) from shapely.geometry.base import BaseGeometry from geopandas import GeoSeries, GeoDataFrame, base, read_file -from .util import unittest, geom_equals, geom_almost_equals +from .util import unittest, geom_equals, geom_almost_equals, download_nybb @unittest.skipIf(not base.HAS_SINDEX, 'Rtree absent, skipping') @@ -85,9 +85,8 @@ class TestFrameSindex(unittest.TestCase): class TestJoinSindex(unittest.TestCase): def setUp(self): - self.boros = read_file( - "/nybb_14a_av/nybb.shp", - vfs="zip://examples/nybb_14aav.zip") + nybb_filename, nybb_zip_path = download_nybb() + self.boros = read_file(nybb_zip_path, vfs='zip://' + nybb_filename) def test_merge_geo(self): # First check that we gets hits from the boros frame. diff --git a/tests/test_sjoin.py b/tests/test_sjoin.py index c7a8d71..63bd685 100644 --- a/tests/test_sjoin.py +++ b/tests/test_sjoin.py @@ -14,8 +14,8 @@ from geopandas.tools import sjoin class TestSpatialJoin(unittest.TestCase): def setUp(self): - nybb_filename = download_nybb() - self.polydf = read_file('/nybb_14a_av/nybb.shp', vfs='zip://' + nybb_filename) + nybb_filename, nybb_zip_path = download_nybb() + self.polydf = read_file(nybb_zip_path, vfs='zip://' + nybb_filename) self.tempdir = tempfile.mkdtemp() self.crs = {'init': 'epsg:4326'} N = 20 @@ -55,7 +55,7 @@ class TestSpatialJoin(unittest.TestCase): # points within polygons df = sjoin(self.pointdf, self.polydf, how="left", op="within") self.assertEquals(df.shape, (21,8)) - self.assertAlmostEquals(df.ix[1]['Shape_Leng'], 330454.175933) + self.assertEquals(df.ix[1]['BoroName'], 'Staten Island') # points contain polygons? never happens so we should have nulls df = sjoin(self.pointdf, self.polydf, how="left", op="contains") diff --git a/tests/util.py b/tests/util.py index b619a1f..b118c9f 100644 --- a/tests/util.py +++ b/tests/util.py @@ -1,5 +1,6 @@ import io import os.path +import zipfile from six.moves.urllib.request import urlopen from geopandas import GeoDataFrame, GeoSeries @@ -36,16 +37,26 @@ else: def download_nybb(): - """ Returns the path to the NYC boroughs file. Downloads if necessary. """ + """ Returns the path to the NYC boroughs file. Downloads if necessary. + + returns tuple (zip file name, shapefile's name and path within zip file)""" # Data from http://www.nyc.gov/html/dcp/download/bytes/nybb_14aav.zip # saved as geopandas/examples/nybb_14aav.zip. - filename = 'nybb_14aav.zip' + filename = 'nybb_16a.zip' full_path_name = os.path.join('examples', filename) if not os.path.exists(full_path_name): with io.open(full_path_name, 'wb') as f: - response = urlopen('http://www.nyc.gov/html/dcp/download/bytes/{0}'.format(filename)) + response = urlopen('http://www1.nyc.gov/assets/planning/download/zip/data-maps/open-data/{0}'.format(filename)) f.write(response.read()) - return full_path_name + + shp_zip_path = None + zf = zipfile.ZipFile(full_path_name, 'r') + # finds path name in zip file + for zip_filename_path in zf.namelist(): + if zip_filename_path.endswith('nybb.shp'): + break + + return full_path_name, ('/' + zip_filename_path) def validate_boro_df(test, df): From 5376ef745fe742bb1952c139d04f7ff60744e282 Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Sun, 10 Apr 2016 13:36:02 +0200 Subject: [PATCH 14/31] DOC: correct requirements file syntax --- requirements_rtd.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements_rtd.txt b/requirements_rtd.txt index 121d984..483a4e9 100644 --- a/requirements_rtd.txt +++ b/requirements_rtd.txt @@ -1 +1 @@ -pip install sphinx_rtd_theme \ No newline at end of file +sphinx_rtd_theme From 10618100764f6b64243b461f3c0489da73e796df Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Sun, 10 Apr 2016 20:12:32 +0200 Subject: [PATCH 15/31] DOC: update contributing guide --- doc/source/contributing.rst | 122 +++++++++++------------------------- 1 file changed, 38 insertions(+), 84 deletions(-) diff --git a/doc/source/contributing.rst b/doc/source/contributing.rst index 6611eed..a384ab2 100644 --- a/doc/source/contributing.rst +++ b/doc/source/contributing.rst @@ -1,9 +1,10 @@ -Contributing -============ +Contributing to GeoPandas +========================= + (Contribution guidelines largely copied from `pandas `_) Overview ----------- +-------- Contributions to GeoPandas are very welcome. They are likely to be accepted more quickly if they follow these guidelines. @@ -14,7 +15,7 @@ readable code. Performance matters, but not at the expense of those goals. In general, GeoPandas follows the conventions of the pandas project -where applicable. +where applicable. In particular, when submitting a pull request: @@ -37,7 +38,7 @@ In particular, when submitting a pull request: code base. Use modern python idioms when possible that are compatibile with both major versions, and use the `six `_ library where helpful to smooth - over the differences. Use `from __future__ import` statements where + over the differences. Use ``from __future__ import`` statements where appropriate. Test code locally in both python 2 and python 3 when possible (all supported versions will be automatically tested on Travis CI). @@ -54,8 +55,7 @@ In particular, when submitting a pull request: Seven Steps for Contributing ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -There are seven basic steps to contributing to *geopandas* - +There are seven basic steps to contributing to *geopandas*: 1) Fork the *geopandas* git repository 2) Create a development environment @@ -65,8 +65,7 @@ There are seven basic steps to contributing to *geopandas* 6) Update the documentation 7) Submit a Pull Request -Each of these 7 steps is detailed below. - +Each of these 7 steps is detailed below. 1) Forking the *geopandas* repository using Git @@ -153,29 +152,26 @@ after updating. --------------------------------------- A development environment is a virtual space where you can keep an independent installation of *geopandas*. This makes it easy to keep both a stable version of python in one place you use for work, and a development -version (which you may break while playing with code) in another. +version (which you may break while playing with code) in another. -An easy way to create a *geopandas** development environment is as follows. +An easy way to create a *geopandas* development environment is as follows: -- Install either :ref:`Anaconda ` or :ref:`miniconda ` +- Install either `Anaconda `_ or + `miniconda `_ - Make sure that you have :ref:`cloned the repository ` - ``cd`` to the *geopandas** source directory Tell conda to create a new environment, named ``geopandas_dev``, or any other name you would like for this environment, by running:: - conda create -n geopandas_dev + conda create -n geopandas_dev For a python 3 environment:: - conda create -n geopandas_dev python=3 - -.. warning:: - - If you are on Windows, see :ref:`here for a fully compliant Windows environment `. + conda create -n geopandas_dev python=3.4 This will create the new environment, and not touch any of your existing environments, -nor any existing python installation. +nor any existing python installation. To work in this environment, Windows users should ``activate`` it as follows:: @@ -197,39 +193,14 @@ To return to you home root environment:: See the full conda docs `here `__. -At this point you can easily do a *development* install, as detailed in the next section. - -.. _contributing.windows: - -Creating a Windows development environment -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -To build on Windows, you need to have compilers installed to build the extensions. You will need to install the appropriate Visual Studio compilers, VS 2008 for Python 2.7, VS 2010 for 3.4, and VS 2015 for Python 3.5. - -For Python 2.7, you can install the ``mingw`` compiler which will work equivalently to VS 2008:: - - conda install -n geopandas_dev libpython - -or use the `Microsoft Visual Studio VC++ compiler for Python `__. Note that you have to check the ``x64`` box to install the ``x64`` extension building capability as this is not installed by default. - -For Python 3.4, you can download and install the `Windows 7.1 SDK `__. Read the references below as there may be various gotchas during the installation. - -For Python 3.5, you can download and install the `Visual Studio 2015 Community Edition `__. - -Here are some references: - -- https://github.com/conda/conda-recipes/wiki/Building-from-Source-on-Windows-32-bit-and-64-bit -- https://cowboyprogrammer.org/building-python-wheels-for-windows/ -- https://blog.ionelmc.ro/2014/12/21/compiling-python-extensions-on-windows/ -- https://support.enthought.com/hc/en-us/articles/204469260-Building-Python-extensions-with-Canopy - - - +At this point you can easily do a *development* install, as detailed in the next sections. 3) Installing Dependencies ---------------------------- +-------------------------- -To run *geopandas* in an development environment, you must first install *geopandas*'s dependencies. We suggest doing so using the following commands (executed after your development environment has been activated):: +To run *geopandas* in an development environment, you must first install +*geopandas*'s dependencies. We suggest doing so using the following commands +(executed after your development environment has been activated):: conda install -c conda-forge fiona shapely pyproj rtree conda install pandas @@ -238,15 +209,14 @@ To run *geopandas* in an development environment, you must first install *geopan This should install all necessary dependencies. 4) Making a development build -------------------------------------- +----------------------------- -Once dependencies are in place, make an in-place build by navigating to the git clone of the *geopandas* repository and running:: +Once dependencies are in place, make an in-place build by navigating to the git +clone of the *geopandas* repository and running:: python setup.py develop - - 5) Making changes and writing tests ------------------------------------- @@ -270,32 +240,14 @@ extensions in `numpy.testing Writing tests ~~~~~~~~~~~~~ -All tests should go into the ``tests`` subdirectory of the specific package. -This folder contains many current examples of tests, and we suggest looking to these for -inspiration. +All tests should go into the ``tests`` directory. This folder contains many +current examples of tests, and we suggest looking to these for inspiration. -The ``.util`` module has many special ``assert`` functions that -make it easier to make statements about whether Series or DataFrame objects are -equivalent. The easiest way to verify that your code is correct is to +The ``.util`` module has some special ``assert`` functions that +make it easier to make statements about whether GeoSeries or GeoDataFrame +objects are equivalent. The easiest way to verify that your code is correct is to explicitly construct the result you expect, then compare the actual result to -the expected correct result:: - - def test_pivot(self): - data = { - 'index' : ['A', 'B', 'C', 'C', 'B', 'A'], - 'columns' : ['One', 'One', 'One', 'Two', 'Two', 'Two'], - 'values' : [1., 2., 3., 3., 2., 1.] - } - - frame = DataFrame(data) - pivoted = frame.pivot(index='index', columns='columns', values='values') - - expected = DataFrame({ - 'One' : {'A' : 1., 'B' : 2., 'C' : 3.}, - 'Two' : {'A' : 1., 'B' : 2., 'C' : 3.} - }) - - assert_frame_equal(pivoted, expected) +the expected correct result, using eg the function ``assert_geoseries_equal``. Running the test suite ~~~~~~~~~~~~~~~~~~~~~~ @@ -306,22 +258,24 @@ install *geopandas*) by typing:: nosetests -v 6) Updating the Documentation ------------------------------- +----------------------------- -*geopandas* documentation resides in the `doc` folder. Changes to the docs are make by modifying the appropriate file in the `source` folder within `doc`. *geopandas* docs us reStructuredText syntax, `which is explained here `_. +*geopandas* documentation resides in the `doc` folder. Changes to the docs are +make by modifying the appropriate file in the `source` folder within `doc`. +*geopandas* docs us reStructuredText syntax, `which is explained here `_ +and the docstrings follow the `Numpy Docstring standard `_. Once you have made your changes, you can build the docs by navigating to the `doc` folder and typing:: make html -The resulting html pages will be located in `doc/build/html`. +The resulting html pages will be located in `doc/build/html`. 7) Submitting a Pull Request ------------------------------ -Once you've made changes and pushed them to your forked repository, you then submit a pull request to have them integrated into the *geopandas* code base. You can find pull request (or PR) tutorials here: - -* `GitHub's Help Docs `_ -* `Atlassian `_ +Once you've made changes and pushed them to your forked repository, you then +submit a pull request to have them integrated into the *geopandas* code base. +You can find a pull request (or PR) tutorial in the `GitHub's Help Docs `_. From 364e93169b009ef792b854356604c8eb49418442 Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Sun, 10 Apr 2016 20:29:14 +0200 Subject: [PATCH 16/31] DOC: clean-up user guide (remaining comments from GH283) --- doc/source/data_structures.rst | 54 +++++++++++++++++++--------------- doc/source/index.rst | 3 +- doc/source/install.rst | 40 ++++++++++--------------- doc/source/io.rst | 11 ++++--- 4 files changed, 52 insertions(+), 56 deletions(-) diff --git a/doc/source/data_structures.rst b/doc/source/data_structures.rst index a49b759..740429f 100644 --- a/doc/source/data_structures.rst +++ b/doc/source/data_structures.rst @@ -17,11 +17,11 @@ GeoPandas implements two main data structures, a ``GeoSeries`` and a GeoSeries --------- -A ``GeoSeries`` is essentially a vector where each entry in the vector +A ``GeoSeries`` is essentially a vector where each entry in the vector is a set of shapes corresponding to one observation. An entry may consist -of only one shape (like a single polygon) or multiple shapes that are +of only one shape (like a single polygon) or multiple shapes that are meant to be thought of as one observation (like the many polygons that -make up the State of Hawaii or a country like Indonesia). +make up the State of Hawaii or a country like Indonesia). *geopandas* has three basic classes of geometric objects (which are actually *shapely* objects): @@ -29,7 +29,7 @@ make up the State of Hawaii or a country like Indonesia). * Lines / Multi-Lines * Polygons / Multi-Polygons -Note that all entries in a ``GeoSeries`` need not be of the same geometric type, although certain export operations will fail if this is not the case. +Note that all entries in a ``GeoSeries`` need not be of the same geometric type, although certain export operations will fail if this is not the case. Overview of Attributes and Methods ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -44,9 +44,9 @@ single geometry, in which case the operation is carried out for each element of the series with that geometry. In either case, a ``Series`` or a ``GeoSeries`` will be returned, as appropriate. -A short summary of a few attributes and methods for GeoSeries is -presented here, and a full list can be found in the :doc:`all attributes and methods page `. -There is also a family of methods for creating new shapes by expanding +A short summary of a few attributes and methods for GeoSeries is +presented here, and a full list can be found in the :doc:`all attributes and methods page `. +There is also a family of methods for creating new shapes by expanding existing shapes or applying set-theoretic operations like "union" described in :doc:`geometric manipulations `. @@ -55,7 +55,7 @@ Attributes * ``area``: shape area (units of projection -- see :doc:`projections `) * ``bounds``: tuple of max and min coordinates on each axis for each shape * ``total_bounds``: tuple of max and min coordinates on each axis for entire GeoSeries -* ``geom_type``: type of geometry. +* ``geom_type``: type of geometry. * ``is_valid``: tests if coordinates make a shape that is reasonable geometric shape (`according to this `_). Basic Methods @@ -63,7 +63,7 @@ Basic Methods * ``distance(other)``: returns ``Series`` with minimum distance from each entry to ``other`` * ``centroid``: returns ``GeoSeries`` of centroids -* ``representative_point()``: returns ``GeoSeries``of points that are guaranteed to be within each geometry. It does **NOT** return centroids. +* ``representative_point()``: returns ``GeoSeries`` of points that are guaranteed to be within each geometry. It does **NOT** return centroids. * ``to_crs()``: change coordinate reference system. See :doc:`projections ` * ``plot()``: plot ``GeoSeries``. See :doc:`mapping `. @@ -78,26 +78,34 @@ Relationship Tests GeoDataFrame ------------ -A ``GeoDataFrame`` is a tablular data structure that contains a ``GeoSeries``. +A ``GeoDataFrame`` is a tabular data structure that contains a ``GeoSeries``. -The most important property of a ``GeoDataFrame`` is that it always has one ``GeoSeries`` column that holds a special status. This ``GeoSeries`` is referred to as the ``GeoDataFrame``'s "geometry". When a spatial method is applied to a ``GeoDataFrame`` (or a spatial attribute like ``area`` is called), this commands will always act on the "geometry" column. +The most important property of a ``GeoDataFrame`` is that it always has one ``GeoSeries`` column that holds a special status. This ``GeoSeries`` is referred to as the ``GeoDataFrame``'s "geometry". When a spatial method is applied to a ``GeoDataFrame`` (or a spatial attribute like ``area`` is called), this commands will always act on the "geometry" column. -The "geometry" column -- no matter its name -- can be accessed through the ``geometry`` attribute (``gdf.geometry``), and the name of the ``geometry`` column can be found by typing ``gdf.geometry.name``. +The "geometry" column -- no matter its name -- can be accessed through the ``geometry`` attribute (``gdf.geometry``), and the name of the ``geometry`` column can be found by typing ``gdf.geometry.name``. -A ``GeoDataFrame`` may also contain other ``GeoSeries``, but only one ``GeoSeries`` can be the active geometry at a time. To change which ``GeoSeries`` is the geometry, use the ``set_geometry`` method: +A ``GeoDataFrame`` may also contain other columns with geometrical (shapely) objects, but only one column can be the active geometry at a time. To change which column is the active geometry column, use the ``set_geometry`` method. -.. ipython:: python - - #Plot countries: +An example using the ``worlds`` GeoDataFrame: + +.. ipython:: python + + world.head() + #Plot countries @savefig world_borders.png width=3in world.plot(); - # Check geometry. - # Currently, the column named "borders" with country - # borders is the active geometry column. +Currently, the column named "borders" with country borders is the active +geometry column: + +.. ipython:: python + world.geometry.name - # Create centroids and make it the geometry +Now, we create centroids and make it the geometry: + +.. ipython:: python + world['centroid_column'] = world.centroid world = world.set_geometry('centroid_column') @@ -105,17 +113,15 @@ A ``GeoDataFrame`` may also contain other ``GeoSeries``, but only one ``GeoSerie world.plot(); -**Note:** A ``GeoDataFrame`` keeps track of the active column by name, so if you rename the active geometry column, you must also reset the geometry: +**Note:** A ``GeoDataFrame`` keeps track of the active column by name, so if you rename the active geometry column, you must also reset the geometry:: gdf = gdf.rename(columns={'old_name': 'new_name'}).set_geometry('new_name') **Note 2:** Somewhat confusingly, by default when you use the ``read_file`` command, the column containing spatial objects from the file is named "geometry" by default, and will be set as the active geometry column. However, despite using the same term for the name of the column and the name of the special attribute that keeps track of the active column, they are distinct. You can easily shift the active geometry column to a different ``GeoSeries`` with the ``set_geometry`` command. Further, ``gdf.geometry`` will always return the active geometry column, *not* the column named ``geometry``. If you wish to call a column named "geometry", and a different column is the active geometry column, use ``gdf['geometry']``, not ``gdf.geometry``. Attributes and Methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~ Any of the attributes calls or methods described for a ``GeoSeries`` will work on a ``GeoDataFrame`` -- effectively, they are just applied to the "geometry" ``GeoSeries``. However, ``GeoDataFrames`` also have a few extra methods for input and output which are described on the :doc:`Input and Output ` page and for geocoding with are described in :doc:`Geocoding `. - - diff --git a/doc/source/index.rst b/doc/source/index.rst index 9b7abfa..17d8c81 100644 --- a/doc/source/index.rst +++ b/doc/source/index.rst @@ -35,7 +35,7 @@ such as PostGIS. Merging Data Geocoding Reference to All Attributes and Methods - Contributing to Geopandas + Contributing to GeoPandas About Indices and tables @@ -44,4 +44,3 @@ Indices and tables * :ref:`genindex` * :ref:`modindex` * :ref:`search` - diff --git a/doc/source/install.rst b/doc/source/install.rst index 7effef5..4153f5a 100644 --- a/doc/source/install.rst +++ b/doc/source/install.rst @@ -31,39 +31,31 @@ Dependencies Installation via `conda` should also install all dependencies, but a complete list is as follows: -- `numpy`_ -- `pandas`_ (version 0.13 or later) -- `shapely`_ -- `fiona`_ -- `six`_ -- `pyproj`_ +- `numpy`_ +- `pandas`_ (version 0.13 or later) +- `shapely`_ +- `fiona`_ +- `six`_ +- `pyproj`_ -Further, optional dependencies are: - -- `geopy`_ 0.99 (optional; for geocoding) -- `psycopg2`_ (optional; for PostGIS connection) +Further, optional dependencies are: + +- `geopy`_ 0.99 (optional; for geocoding) +- `psycopg2`_ (optional; for PostGIS connection) - `rtree`_ (optional; spatial index to improve performance) -For plotting, these additional packages may be used: - -- `matplotlib`_ -- `descartes`_ -- `pysal`_ - +For plotting, these additional packages may be used: + +- `matplotlib`_ +- `descartes`_ +- `pysal`_ + These can be installed independently via the following set of commands:: conda install -c conda-forge fiona shapely pyproj rtree conda install pandas - - - - - -.. toctree:: - :maxdepth: 2 - .. _PyPI: https://pypi.python.org/pypi/geopandas .. _GitHub: https://github.com/geopandas/geopandas diff --git a/doc/source/io.rst b/doc/source/io.rst index a19b327..65f33f0 100644 --- a/doc/source/io.rst +++ b/doc/source/io.rst @@ -7,23 +7,22 @@ Reading and Writing Files Reading Spatial Data --------------------- -*geopandas* can read almost any vector-based spatial data format including ESRI shapefile, GeoJSON files and more using the command: +*geopandas* can read almost any vector-based spatial data format including ESRI shapefile, GeoJSON files and more using the command:: gpd.read_file() -which returns a GeoDataFrame object. (This is possible because *geopandas* makes use of the great `fiona `_ library, which in turn makes use of a massive open-source program called `GDAL/OGR `_ designed to facilitate spatial data transformations). +which returns a GeoDataFrame object. (This is possible because *geopandas* makes use of the great `fiona `_ library, which in turn makes use of a massive open-source program called `GDAL/OGR `_ designed to facilitate spatial data transformations). -Any arguments passed to ``read_file()`` after the file name will be passed directly to ``fiona.open``, which does the actual data importation. In general, ``read_file`` is pretty smart and should do what you want without extra arguments, but for more help, type: +Any arguments passed to ``read_file()`` after the file name will be passed directly to ``fiona.open``, which does the actual data importation. In general, ``read_file`` is pretty smart and should do what you want without extra arguments, but for more help, type:: import fiona; help(fiona.open) Among other things, one can explicitly set the driver (shapefile, GeoJSON) with the ``driver`` keyword, or pick a single layer from a multi-layered file with the ``layer`` keyword. -*geopandas* can also get data from a PostGIS database using the ``read_postgis()`` command. +*geopandas* can also get data from a PostGIS database using the ``read_postgis()`` command. Writing Spatial Data --------------------- -GeoDataFrames can be exported to many different standard formats using the ``GeoDataFrame.to_file()`` method. For a full list of supported formats, type ``import fiona; fiona.supported_drivers``. - +GeoDataFrames can be exported to many different standard formats using the ``GeoDataFrame.to_file()`` method. For a full list of supported formats, type ``import fiona; fiona.supported_drivers``. From 13952f12c62387bd8f760a81da740f1e2971d3d6 Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Sun, 10 Apr 2016 21:11:29 +0200 Subject: [PATCH 17/31] DOC: add ipython as doc requirement For the ipython directive --- requirements_rtd.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements_rtd.txt b/requirements_rtd.txt index 483a4e9..37e82d7 100644 --- a/requirements_rtd.txt +++ b/requirements_rtd.txt @@ -1 +1,2 @@ sphinx_rtd_theme +ipython From 3988fb52a0c35199efa1d4ea01c247aba5f69440 Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Sun, 10 Apr 2016 21:19:27 +0200 Subject: [PATCH 18/31] DOC: add readthedocs yaml config file + use conda for doc deps --- doc/environment.yml | 16 ++++++++++++++++ readthedocs.yml | 5 +++++ requirements_rtd.txt | 2 -- 3 files changed, 21 insertions(+), 2 deletions(-) create mode 100644 doc/environment.yml create mode 100644 readthedocs.yml delete mode 100644 requirements_rtd.txt diff --git a/doc/environment.yml b/doc/environment.yml new file mode 100644 index 0000000..735af6f --- /dev/null +++ b/doc/environment.yml @@ -0,0 +1,16 @@ +name: geopandas_docs +channels: +- conda-forge +dependencies: +- python=3.4 +- pandas +- shapely +- fiona +- pyproj +- six +- geopy +- matplotlib +- descartes +- sphinx +- sphinx_rtd_theme +- ipython diff --git a/readthedocs.yml b/readthedocs.yml new file mode 100644 index 0000000..1c401c1 --- /dev/null +++ b/readthedocs.yml @@ -0,0 +1,5 @@ +conda: + file: doc/environment.yml +python: + version: 3 + setup_py_install: true diff --git a/requirements_rtd.txt b/requirements_rtd.txt deleted file mode 100644 index 37e82d7..0000000 --- a/requirements_rtd.txt +++ /dev/null @@ -1,2 +0,0 @@ -sphinx_rtd_theme -ipython From b2c84e64916e3a56ca013e92bc7434307c727054 Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Mon, 11 Apr 2016 21:59:12 +0200 Subject: [PATCH 19/31] DOC: pin ipython version to avoid bug with savefig See https://github.com/ipython/ipython/issues/8733#issuecomment-208544701 for more details --- doc/environment.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/environment.yml b/doc/environment.yml index 735af6f..1c81308 100644 --- a/doc/environment.yml +++ b/doc/environment.yml @@ -13,4 +13,4 @@ dependencies: - descartes - sphinx - sphinx_rtd_theme -- ipython +- ipython=4.0.1 From 142393c60af87c9ba54123d48a178e4cba665332 Mon Sep 17 00:00:00 2001 From: Joris Van den Bossche Date: Mon, 11 Apr 2016 22:37:26 +0200 Subject: [PATCH 20/31] TEMP: change path to example data (for rtd, does not work locally) --- doc/source/data_structures.rst | 2 +- doc/source/mapping.rst | 4 ++-- doc/source/projections.rst | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/doc/source/data_structures.rst b/doc/source/data_structures.rst index 740429f..96fb953 100644 --- a/doc/source/data_structures.rst +++ b/doc/source/data_structures.rst @@ -4,7 +4,7 @@ :suppress: import geopandas as gpd - world = gpd.GeoDataFrame().from_file('source/_example_data/naturalearth_lowres.shp') + world = gpd.GeoDataFrame().from_file('_example_data/naturalearth_lowres.shp') world = world.rename(columns={'geometry': 'borders'}).set_geometry('borders') Data Structures diff --git a/doc/source/mapping.rst b/doc/source/mapping.rst index 2045729..435b29d 100644 --- a/doc/source/mapping.rst +++ b/doc/source/mapping.rst @@ -4,7 +4,7 @@ :suppress: import geopandas as gpd - world = gpd.GeoDataFrame().from_file('source/_example_data/naturalearth_lowres.shp') + world = gpd.GeoDataFrame().from_file('_example_data/naturalearth_lowres.shp') @@ -18,7 +18,7 @@ Chloropleth Maps ----------------- .. ipython:: python - + # Examine country GeoDataFrame world.head() diff --git a/doc/source/projections.rst b/doc/source/projections.rst index 68af5be..de4f03c 100644 --- a/doc/source/projections.rst +++ b/doc/source/projections.rst @@ -4,7 +4,7 @@ :suppress: import geopandas as gpd - world = gpd.GeoDataFrame().from_file('source/_example_data/naturalearth_lowres.shp') + world = gpd.GeoDataFrame().from_file('_example_data/naturalearth_lowres.shp') From d6308826ada750e38cf394a08e0ebbd4b13c3ac9 Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Thu, 21 Apr 2016 09:15:49 -0700 Subject: [PATCH 21/31] moved docs for plotting to more accessible location (#300) * moved docs for plotting to more accessible location * more supportable docs --- geopandas/geodataframe.py | 3 +++ geopandas/geoseries.py | 3 ++- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/geopandas/geodataframe.py b/geopandas/geodataframe.py index cd26f92..78ec62b 100644 --- a/geopandas/geodataframe.py +++ b/geopandas/geodataframe.py @@ -435,8 +435,11 @@ class GeoDataFrame(GeoPandasBase, DataFrame): return GeoDataFrame(data).__finalize__(self) def plot(self, *args, **kwargs): + return plot_dataframe(self, *args, **kwargs) + plot.__doc__ = plot_dataframe.__doc__ + def _dataframe_set_geometry(self, col, drop=False, inplace=False, crs=None): if inplace: diff --git a/geopandas/geoseries.py b/geopandas/geoseries.py index 83cee71..e4c3529 100644 --- a/geopandas/geoseries.py +++ b/geopandas/geoseries.py @@ -239,9 +239,10 @@ class GeoSeries(GeoPandasBase, Series): else: return False - def plot(self, *args, **kwargs): return plot_series(self, *args, **kwargs) + + plot.__doc__ = plot_series.__doc__ # # Additional methods From 5f9f13028789d08fcb2bf80a41f87ae640ae95e3 Mon Sep 17 00:00:00 2001 From: Nick Eubank Date: Wed, 27 Apr 2016 14:46:03 -0700 Subject: [PATCH 22/31] updated mapping doc (#299) * updated maps * add cities * overlapping layers added * tweak to docs * both layering options --- .../naturalearth_cities.README.html | 336 ++++++++++++++++++ .../naturalearth_cities.VERSION.txt | 1 + .../_example_data/naturalearth_cities.cpg | 1 + .../_example_data/naturalearth_cities.dbf | Bin 0 -> 16427 bytes .../_example_data/naturalearth_cities.prj | 1 + .../_example_data/naturalearth_cities.shp | Bin 0 -> 5756 bytes .../_example_data/naturalearth_cities.shx | Bin 0 -> 1716 bytes doc/source/mapping.rst | 91 ++++- 8 files changed, 424 insertions(+), 6 deletions(-) create mode 100644 doc/source/_example_data/naturalearth_cities.README.html create mode 100644 doc/source/_example_data/naturalearth_cities.VERSION.txt create mode 100644 doc/source/_example_data/naturalearth_cities.cpg create mode 100644 doc/source/_example_data/naturalearth_cities.dbf create mode 100644 doc/source/_example_data/naturalearth_cities.prj create mode 100644 doc/source/_example_data/naturalearth_cities.shp create mode 100644 doc/source/_example_data/naturalearth_cities.shx diff --git a/doc/source/_example_data/naturalearth_cities.README.html b/doc/source/_example_data/naturalearth_cities.README.html new file mode 100644 index 0000000..2f5786f --- /dev/null +++ b/doc/source/_example_data/naturalearth_cities.README.html @@ -0,0 +1,336 @@ + + + + + + + + +Populated Places | Natural Earth + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+ + + + +
+
+ + + « 1:10m Cultural Vectors  +
+

Populated Places

+
+
+
pop_thumb
+
City and town points, from Tokyo to Wasilla, Cairo to Kandahar +
+ Download populated places (1.51 MB) version 2.0.0 +
+ Download simple (less columns) (719.87 KB) version 2.0.0 +
+
+
+
+

About

+

Point symbols with name attributes. Includes all admin-0 and many admin-1 capitals, major cities and towns, plus a sampling of smaller towns in sparsely inhabited regions. We favor regional significance over population census in determining our selection of places. Use the scale rankings to filter the number of towns that appear on your map.

+

pop_banner

+

LandScan derived population estimates are provided for 90% of our cities. Those lacking population estimates are often in sparsely inhabited areas. We provide a range of population values that account for the total “metropolitan” population rather than it’s administrative boundary population. Use the PopMax column to size your town labels. Starting in version 1.1, popMax has been throttled down to the UN estimated metro population for the ~500 largest urban areas in the world. This affects towns in China, India, and parts of Africa where our Landscan counting method usually over estimated.

+

Population estimates were derived from the LANDSCAN dataset maintained and distributed by the Oak Ridge National Laboratory. These data were converted from raster to vector and pixels with fewer than 200 persons per square kilometer were removed from the dataset as they were classified as rural. Once urban pixels were selected, these pixels were aggregated into contiguous units. Concurrently Thiessen polygons were created based on the selected city points. The Thiessen polygons were used to intersect the contiguous city boundaries to produce bounded areas for the cities. As a result, our estimates capture a metropolitan and micropolitan populations per city regardless of administrative units.

+

Once intersected, the contiguous polygons were recalculated, using aerial interpolation assuming uniform population distribution within each pixel, to determine the population total. This process was conducted multiple times, for each scale level, to produce population estimates for each city at nested scales of 1:300 million, 1:110 million, 1:50 million, 1:20 million, and 1:10 million.

+
+ Download landscan urban areas (13.01 MB) version 2.0.0 +
+

Population ranks

+

Are calculated as rank_max and rank_min using this general VB formula that can be pasted into ArcMap Field Calculator advanced area (set your output to x):

+

+a = [pop_max]

+

if( a > 10000000 ) then +x = 14 +elseif( a > 5000000 ) then +x = 13 +elseif( a > 1000000 ) then +x = 12 +elseif( a > 500000 ) then +x = 11 +elseif( a > 200000 ) then +x = 10 +elseif( a > 100000 ) then +x = 9 +elseif( a > 50000 ) then +x = 8 +elseif( a > 20000 ) then +x = 7 +elseif( a > 10000 ) then +x = 6 +elseif( a > 5000 ) then +x = 5 +elseif( a > 2000 ) then +x = 4 +elseif( a > 1000 ) then +x = 3 +elseif( a > 200 ) then +x = 2 +elseif( a > 0 ) then +x = 1 +else +x = 0 +end if

+

Issues

+

While we don’t want to show every admin-1 capital, for those countries where we show most admin-1 capitals, we should have a complete set. If you find we are missing one, please log it in the Cx tool at right.

+

Version History

+
    +
  • + 2.0.0 +
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  • + 1.4.0 +
    • +
  • + 1.3.0 +
    • +
  • + 1.1.0 +
    • +
  • + 0.9.0 +
    • +
+ +

The master changelog is available on Github ยป +

+ +
+
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Mapping shapes is as easy as using the ``plot()`` method on a ``GeoSeries`` or ``GeoDataFrame``. .. ipython:: python - + # Examine country GeoDataFrame world.head() @@ -26,11 +24,92 @@ Chloropleth Maps @savefig world_randomcolors.png width=5in world.plot(); +Note that in general, any options one can pass to `pyplot `_ in ``matplotlib`` (or `style options that work for lines `_) can be passed to the ``plot()`` method. + + +Chloropleth Maps +----------------- + +*geopandas* makes it easy to create Chloropleth maps (maps where the color of each shape is based on the value of an associated variable). Simply use the plot command with the ``column`` argument set to the column whose values you want used to assign colors. + +.. ipython:: python + # Plot by GDP per capta + world = world[(world.pop_est>0) & (world.name!="Antarctica")] world['gdp_per_cap'] = world.gdp_md_est / world.pop_est @savefig world_gdp_per_cap.png width=5in world.plot(column='gdp_per_cap'); -Adding Basemaps +Choosing colors +~~~~~~~~~~~~~~~~ + +One can also modify the colors used by ``plot`` with the ``cmap`` option (for a full list of colormaps, see the `matplotlib website `_): + +.. ipython:: python + + @savefig world_gdp_per_cap_red.png width=5in + world.plot(column='gdp_per_cap', cmap='OrRd'); + + +The way color maps are scaled can also be manipulated with the ``scheme`` option (if you have ``pysal`` installed, which can be accomplished via ``conda install pysal``). By default, ``scheme`` is set to 'equal_intervals', but it can also be adjusted to any other `pysal option `_, like 'quantiles', 'percentiles', etc. + +.. ipython:: python + + @savefig world_gdp_per_cap_quantiles.png width=5in + world.plot(column='gdp_per_cap', cmap='OrRd', scheme='quantiles'); + + +Maps with Layers ----------------- + +There are two strategies for making a map with multiple layers -- one more succinct, and one that is a littel more flexible. + +Before combining maps, however, remember to always ensure they share a common CRS (so they will align). + +.. ipython:: python + + # Look at capitals + # Note use of standard `pyplot` line style options + @savefig capitals.png width=5in + cities.plot(marker='*', color='green', markersize=5); + + # Check crs + cities = cities.to_crs(world.crs) + + # Now we can overlay over country outlines + # And yes, there are lots of island capitals + # apparently in the middle of the ocean! + +**Method 1** + +.. ipython:: python + + base = world.plot(color='white') + @savefig capitals_over_countries_1.png width=5in + cities.plot(ax=base, marker='o', color='red', markersize=5); + +**Method 2: Using matplotlib objects** + +.. ipython:: python + + import matplotlib.pyplot as plt + fig, ax = plt.subplots() + + # set aspect to equal. This is done automatically + # when using *geopandas* plot on it's own, but not when + # working with pyplot directly. + ax.set_aspect('equal') + + world.plot(ax=ax, color='white') + cities.plot(ax=ax, marker='o', color='red', markersize=5) + @savefig capitals_over_countries_2.png width=5in + plt.show(); + + +Other Resources +----------------- +Links to jupyter Notebooks for different mapping tasks: + +`Making Heat Maps `_ + From a56deb777d8a8017ae8fa6ace41de5f4640b3f07 Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 09:22:40 -0700 Subject: [PATCH 23/31] TST: Move the tests into the main package and subpackages --- {tests => geopandas/io/tests}/test_io.py | 0 {tests => geopandas/tests}/__init__.py | 0 .../baseline_images/test_plotting/lines_plot.png | Bin .../baseline_images/test_plotting/points_plot.png | Bin .../baseline_images/test_plotting/poly_plot.png | Bin .../test_plotting/poly_plot_with_kwargs.png | Bin {tests => geopandas/tests}/test_geocode.py | 0 {tests => geopandas/tests}/test_geodataframe.py | 0 {tests => geopandas/tests}/test_geom_methods.py | 0 {tests => geopandas/tests}/test_geoseries.py | 0 {tests => geopandas/tests}/test_overlay.py | 0 {tests => geopandas/tests}/test_plotting.py | 0 {tests => geopandas/tests}/test_sindex.py | 0 {tests => geopandas/tests}/test_types.py | 0 {tests => geopandas/tests}/util.py | 0 {tests => geopandas/tools/tests}/test_sjoin.py | 0 {tests => geopandas/tools/tests}/test_tools.py | 0 17 files changed, 0 insertions(+), 0 deletions(-) rename {tests => geopandas/io/tests}/test_io.py (100%) rename {tests => geopandas/tests}/__init__.py (100%) rename {tests => geopandas/tests}/baseline_images/test_plotting/lines_plot.png (100%) rename {tests => geopandas/tests}/baseline_images/test_plotting/points_plot.png (100%) rename {tests => geopandas/tests}/baseline_images/test_plotting/poly_plot.png (100%) rename {tests => geopandas/tests}/baseline_images/test_plotting/poly_plot_with_kwargs.png (100%) rename {tests => geopandas/tests}/test_geocode.py (100%) rename {tests => geopandas/tests}/test_geodataframe.py (100%) rename {tests => geopandas/tests}/test_geom_methods.py (100%) rename {tests => geopandas/tests}/test_geoseries.py (100%) rename {tests => geopandas/tests}/test_overlay.py (100%) rename {tests => geopandas/tests}/test_plotting.py (100%) rename {tests => geopandas/tests}/test_sindex.py (100%) rename {tests => geopandas/tests}/test_types.py (100%) rename {tests => geopandas/tests}/util.py (100%) rename {tests => geopandas/tools/tests}/test_sjoin.py (100%) rename {tests => geopandas/tools/tests}/test_tools.py (100%) diff --git a/tests/test_io.py b/geopandas/io/tests/test_io.py similarity index 100% rename from tests/test_io.py rename to geopandas/io/tests/test_io.py diff --git a/tests/__init__.py b/geopandas/tests/__init__.py similarity index 100% rename from tests/__init__.py rename to geopandas/tests/__init__.py diff --git a/tests/baseline_images/test_plotting/lines_plot.png b/geopandas/tests/baseline_images/test_plotting/lines_plot.png similarity index 100% rename from tests/baseline_images/test_plotting/lines_plot.png rename to geopandas/tests/baseline_images/test_plotting/lines_plot.png diff --git a/tests/baseline_images/test_plotting/points_plot.png b/geopandas/tests/baseline_images/test_plotting/points_plot.png similarity index 100% rename from tests/baseline_images/test_plotting/points_plot.png rename to geopandas/tests/baseline_images/test_plotting/points_plot.png diff --git a/tests/baseline_images/test_plotting/poly_plot.png b/geopandas/tests/baseline_images/test_plotting/poly_plot.png similarity index 100% rename from tests/baseline_images/test_plotting/poly_plot.png rename to geopandas/tests/baseline_images/test_plotting/poly_plot.png diff --git a/tests/baseline_images/test_plotting/poly_plot_with_kwargs.png b/geopandas/tests/baseline_images/test_plotting/poly_plot_with_kwargs.png similarity index 100% rename from tests/baseline_images/test_plotting/poly_plot_with_kwargs.png rename to geopandas/tests/baseline_images/test_plotting/poly_plot_with_kwargs.png diff --git a/tests/test_geocode.py b/geopandas/tests/test_geocode.py similarity index 100% rename from tests/test_geocode.py rename to geopandas/tests/test_geocode.py diff --git a/tests/test_geodataframe.py b/geopandas/tests/test_geodataframe.py similarity index 100% rename from tests/test_geodataframe.py rename to geopandas/tests/test_geodataframe.py diff --git a/tests/test_geom_methods.py b/geopandas/tests/test_geom_methods.py similarity index 100% rename from tests/test_geom_methods.py rename to geopandas/tests/test_geom_methods.py diff --git a/tests/test_geoseries.py b/geopandas/tests/test_geoseries.py similarity index 100% rename from tests/test_geoseries.py rename to geopandas/tests/test_geoseries.py diff --git a/tests/test_overlay.py b/geopandas/tests/test_overlay.py similarity index 100% rename from tests/test_overlay.py rename to geopandas/tests/test_overlay.py diff --git a/tests/test_plotting.py b/geopandas/tests/test_plotting.py similarity index 100% rename from tests/test_plotting.py rename to geopandas/tests/test_plotting.py diff --git a/tests/test_sindex.py b/geopandas/tests/test_sindex.py similarity index 100% rename from tests/test_sindex.py rename to geopandas/tests/test_sindex.py diff --git a/tests/test_types.py b/geopandas/tests/test_types.py similarity index 100% rename from tests/test_types.py rename to geopandas/tests/test_types.py diff --git a/tests/util.py b/geopandas/tests/util.py similarity index 100% rename from tests/util.py rename to geopandas/tests/util.py diff --git a/tests/test_sjoin.py b/geopandas/tools/tests/test_sjoin.py similarity index 100% rename from tests/test_sjoin.py rename to geopandas/tools/tests/test_sjoin.py diff --git a/tests/test_tools.py b/geopandas/tools/tests/test_tools.py similarity index 100% rename from tests/test_tools.py rename to geopandas/tools/tests/test_tools.py From cbc479f46b84ed0a46b7680075b0f76c48c1eef9 Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 20:33:27 -0700 Subject: [PATCH 24/31] TST: Import test utilities with fully qualified name --- geopandas/io/tests/test_io.py | 20 ++++++++++---------- geopandas/tests/test_geocode.py | 2 +- geopandas/tests/test_geodataframe.py | 4 ++-- geopandas/tests/test_geom_methods.py | 2 +- geopandas/tests/test_geoseries.py | 2 +- geopandas/tests/test_overlay.py | 2 +- geopandas/tests/test_sindex.py | 3 +-- geopandas/tests/test_types.py | 2 +- geopandas/tests/util.py | 6 +++--- geopandas/tools/tests/test_sjoin.py | 2 +- geopandas/tools/tests/test_tools.py | 2 +- 11 files changed, 23 insertions(+), 24 deletions(-) diff --git a/geopandas/io/tests/test_io.py b/geopandas/io/tests/test_io.py index 3e838aa..2987438 100644 --- a/geopandas/io/tests/test_io.py +++ b/geopandas/io/tests/test_io.py @@ -3,21 +3,21 @@ from __future__ import absolute_import import fiona from geopandas import GeoDataFrame, read_postgis, read_file -import tests.util -from .util import PANDAS_NEW_SQL_API, unittest +from geopandas.tests.util import download_nybb, connect, create_db, \ + PANDAS_NEW_SQL_API, unittest, validate_boro_df class TestIO(unittest.TestCase): def setUp(self): - nybb_filename, nybb_zip_path = tests.util.download_nybb() + nybb_filename, nybb_zip_path = download_nybb() vfs = 'zip://' + nybb_filename self.df = read_file(nybb_zip_path, vfs=vfs) with fiona.open(nybb_zip_path, vfs=vfs) as f: self.crs = f.crs def test_read_postgis_default(self): - con = tests.util.connect('test_geopandas') - if con is None or not tests.util.create_db(self.df): + con = connect('test_geopandas') + if con is None or not create_db(self.df): raise unittest.case.SkipTest() try: @@ -29,11 +29,11 @@ class TestIO(unittest.TestCase): con = con.connect() con.close() - tests.util.validate_boro_df(self, df) + validate_boro_df(self, df) def test_read_postgis_custom_geom_col(self): - con = tests.util.connect('test_geopandas') - if con is None or not tests.util.create_db(self.df): + con = connect('test_geopandas') + if con is None or not create_db(self.df): raise unittest.case.SkipTest() try: @@ -48,9 +48,9 @@ class TestIO(unittest.TestCase): con = con.connect() con.close() - tests.util.validate_boro_df(self, df) + validate_boro_df(self, df) def test_read_file(self): df = self.df.rename(columns=lambda x: x.lower()) - tests.util.validate_boro_df(self, df) + validate_boro_df(self, df) self.assert_(df.crs == self.crs) diff --git a/geopandas/tests/test_geocode.py b/geopandas/tests/test_geocode.py index 529ab0a..5f7b23a 100644 --- a/geopandas/tests/test_geocode.py +++ b/geopandas/tests/test_geocode.py @@ -11,7 +11,7 @@ from geopandas import GeoSeries from geopandas.tools import geocode, reverse_geocode from geopandas.tools.geocoding import _prepare_geocode_result -from .util import unittest, mock, assert_geoseries_equal +from geopandas.tests.util import unittest, mock, assert_geoseries_equal def _skip_if_no_geopy(): diff --git a/geopandas/tests/test_geodataframe.py b/geopandas/tests/test_geodataframe.py index 9bc1bf7..bae5fce 100644 --- a/geopandas/tests/test_geodataframe.py +++ b/geopandas/tests/test_geodataframe.py @@ -12,8 +12,8 @@ from shapely.geometry import Point, Polygon import fiona from geopandas import GeoDataFrame, read_file, GeoSeries -from .util import unittest, download_nybb, assert_geoseries_equal, connect, \ - create_db, validate_boro_df, PANDAS_NEW_SQL_API +from geopandas.tests.util import unittest, download_nybb, assert_geoseries_equal, \ + connect, create_db, validate_boro_df, PANDAS_NEW_SQL_API class TestDataFrame(unittest.TestCase): diff --git a/geopandas/tests/test_geom_methods.py b/geopandas/tests/test_geom_methods.py index ccda5b1..e747ec4 100644 --- a/geopandas/tests/test_geom_methods.py +++ b/geopandas/tests/test_geom_methods.py @@ -14,7 +14,7 @@ from shapely.ops import unary_union from geopandas import GeoSeries, GeoDataFrame from geopandas.base import GeoPandasBase -from .util import ( +from geopandas.tests.util import ( unittest, geom_equals, geom_almost_equals, assert_geoseries_equal ) diff --git a/geopandas/tests/test_geoseries.py b/geopandas/tests/test_geoseries.py index 4ba441b..9ef9b06 100644 --- a/geopandas/tests/test_geoseries.py +++ b/geopandas/tests/test_geoseries.py @@ -11,7 +11,7 @@ from shapely.geometry import (Polygon, Point, LineString, MultiPoint, MultiLineString, MultiPolygon) from shapely.geometry.base import BaseGeometry from geopandas import GeoSeries -from .util import unittest, geom_equals, geom_almost_equals +from geopandas.tests.util import unittest, geom_equals class TestSeries(unittest.TestCase): diff --git a/geopandas/tests/test_overlay.py b/geopandas/tests/test_overlay.py index 2ac7c1c..f349e1a 100644 --- a/geopandas/tests/test_overlay.py +++ b/geopandas/tests/test_overlay.py @@ -4,7 +4,7 @@ import shutil from shapely.geometry import Point from geopandas import GeoDataFrame, read_file from geopandas.tools import overlay -from .util import unittest, download_nybb +from geopandas.tests.util import unittest, download_nybb class TestDataFrame(unittest.TestCase): diff --git a/geopandas/tests/test_sindex.py b/geopandas/tests/test_sindex.py index 8a91865..2f8ba71 100644 --- a/geopandas/tests/test_sindex.py +++ b/geopandas/tests/test_sindex.py @@ -7,7 +7,7 @@ from shapely.geometry import (Polygon, Point, LineString, MultiPoint, MultiLineString, MultiPolygon) from shapely.geometry.base import BaseGeometry from geopandas import GeoSeries, GeoDataFrame, base, read_file -from .util import unittest, geom_equals, geom_almost_equals, download_nybb +from geopandas.tests.util import unittest, download_nybb @unittest.skipIf(not base.HAS_SINDEX, 'Rtree absent, skipping') @@ -121,4 +121,3 @@ class TestJoinSindex(unittest.TestCase): self.assertEqual( [merged.ix[hit.object]['BoroName'] for hit in hits], ['Bronx', 'Queens']) - diff --git a/geopandas/tests/test_types.py b/geopandas/tests/test_types.py index f4b0dad..f5f1d59 100644 --- a/geopandas/tests/test_types.py +++ b/geopandas/tests/test_types.py @@ -5,7 +5,7 @@ from shapely.geometry import Point from pandas import Series, DataFrame from geopandas import GeoSeries, GeoDataFrame -from .util import unittest +from geopandas.tests.util import unittest OLD_PANDAS = issubclass(Series, np.ndarray) diff --git a/geopandas/tests/util.py b/geopandas/tests/util.py index b118c9f..6503e2d 100644 --- a/geopandas/tests/util.py +++ b/geopandas/tests/util.py @@ -38,7 +38,7 @@ else: def download_nybb(): """ Returns the path to the NYC boroughs file. Downloads if necessary. - + returns tuple (zip file name, shapefile's name and path within zip file)""" # Data from http://www.nyc.gov/html/dcp/download/bytes/nybb_14aav.zip # saved as geopandas/examples/nybb_14aav.zip. @@ -48,14 +48,14 @@ def download_nybb(): with io.open(full_path_name, 'wb') as f: response = urlopen('http://www1.nyc.gov/assets/planning/download/zip/data-maps/open-data/{0}'.format(filename)) f.write(response.read()) - + shp_zip_path = None zf = zipfile.ZipFile(full_path_name, 'r') # finds path name in zip file for zip_filename_path in zf.namelist(): if zip_filename_path.endswith('nybb.shp'): break - + return full_path_name, ('/' + zip_filename_path) diff --git a/geopandas/tools/tests/test_sjoin.py b/geopandas/tools/tests/test_sjoin.py index 63bd685..1cf1f36 100644 --- a/geopandas/tools/tests/test_sjoin.py +++ b/geopandas/tools/tests/test_sjoin.py @@ -6,7 +6,7 @@ import numpy as np from shapely.geometry import Point from geopandas import GeoDataFrame, read_file, base -from .util import unittest, download_nybb +from geopandas.tests.util import unittest, download_nybb from geopandas.tools import sjoin diff --git a/geopandas/tools/tests/test_tools.py b/geopandas/tools/tests/test_tools.py index fbe7759..30cad1b 100644 --- a/geopandas/tools/tests/test_tools.py +++ b/geopandas/tools/tests/test_tools.py @@ -2,7 +2,7 @@ from __future__ import absolute_import from shapely.geometry import Point, MultiPoint, LineString from geopandas import GeoSeries from geopandas.tools import collect -from .util import unittest +from geopandas.tests.util import unittest class TestTools(unittest.TestCase): def setUp(self): From c8fb3de4a167350af9b630f2d5f862e798a7f5bb Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 20:43:43 -0700 Subject: [PATCH 25/31] TST: Use the full path for examples directory --- geopandas/tests/test_geodataframe.py | 4 ++-- geopandas/tests/util.py | 5 ++++- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/geopandas/tests/test_geodataframe.py b/geopandas/tests/test_geodataframe.py index bae5fce..affae3d 100644 --- a/geopandas/tests/test_geodataframe.py +++ b/geopandas/tests/test_geodataframe.py @@ -13,7 +13,7 @@ from shapely.geometry import Point, Polygon import fiona from geopandas import GeoDataFrame, read_file, GeoSeries from geopandas.tests.util import unittest, download_nybb, assert_geoseries_equal, \ - connect, create_db, validate_boro_df, PANDAS_NEW_SQL_API + connect, create_db, validate_boro_df, PACKAGE_DIR, PANDAS_NEW_SQL_API class TestDataFrame(unittest.TestCase): @@ -32,7 +32,7 @@ class TestDataFrame(unittest.TestCase): self.df2 = GeoDataFrame([ {'geometry': Point(x, y), 'value1': x + y, 'value2': x * y} for x, y in zip(range(N), range(N))], crs=self.crs) - self.df3 = read_file('examples/null_geom.geojson') + self.df3 = read_file(os.path.join(PACKAGE_DIR, 'examples', 'null_geom.geojson')) self.line_paths = self.df3['Name'] def tearDown(self): diff --git a/geopandas/tests/util.py b/geopandas/tests/util.py index 6503e2d..74c5878 100644 --- a/geopandas/tests/util.py +++ b/geopandas/tests/util.py @@ -5,6 +5,9 @@ from six.moves.urllib.request import urlopen from geopandas import GeoDataFrame, GeoSeries +HERE = os.path.abspath(os.path.dirname(__file__)) +PACKAGE_DIR = os.path.dirname(os.path.dirname(HERE)) + # Compatibility layer for Python 2.6: try loading unittest2 import sys if sys.version_info[:2] == (2, 6): @@ -43,7 +46,7 @@ def download_nybb(): # Data from http://www.nyc.gov/html/dcp/download/bytes/nybb_14aav.zip # saved as geopandas/examples/nybb_14aav.zip. filename = 'nybb_16a.zip' - full_path_name = os.path.join('examples', filename) + full_path_name = os.path.join(PACKAGE_DIR, 'examples', filename) if not os.path.exists(full_path_name): with io.open(full_path_name, 'wb') as f: response = urlopen('http://www1.nyc.gov/assets/planning/download/zip/data-maps/open-data/{0}'.format(filename)) From c51d83bb6a4ec9cff2bb8a59b0e14869dbcff335 Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 20:50:44 -0700 Subject: [PATCH 26/31] TST CLN: Remove unused imports --- geopandas/io/tests/test_io.py | 2 +- geopandas/tests/test_geoseries.py | 1 - geopandas/tests/test_sindex.py | 9 +-------- 3 files changed, 2 insertions(+), 10 deletions(-) diff --git a/geopandas/io/tests/test_io.py b/geopandas/io/tests/test_io.py index 2987438..e8e87f9 100644 --- a/geopandas/io/tests/test_io.py +++ b/geopandas/io/tests/test_io.py @@ -2,7 +2,7 @@ from __future__ import absolute_import import fiona -from geopandas import GeoDataFrame, read_postgis, read_file +from geopandas import read_postgis, read_file from geopandas.tests.util import download_nybb, connect, create_db, \ PANDAS_NEW_SQL_API, unittest, validate_boro_df diff --git a/geopandas/tests/test_geoseries.py b/geopandas/tests/test_geoseries.py index 9ef9b06..42b585b 100644 --- a/geopandas/tests/test_geoseries.py +++ b/geopandas/tests/test_geoseries.py @@ -6,7 +6,6 @@ import shutil import tempfile import numpy as np from numpy.testing import assert_array_equal -from pandas import Series from shapely.geometry import (Polygon, Point, LineString, MultiPoint, MultiLineString, MultiPolygon) from shapely.geometry.base import BaseGeometry diff --git a/geopandas/tests/test_sindex.py b/geopandas/tests/test_sindex.py index 2f8ba71..3ad692d 100644 --- a/geopandas/tests/test_sindex.py +++ b/geopandas/tests/test_sindex.py @@ -1,11 +1,4 @@ -import shutil -import tempfile -import numpy as np -from numpy.testing import assert_array_equal -from pandas import Series, read_csv -from shapely.geometry import (Polygon, Point, LineString, - MultiPoint, MultiLineString, MultiPolygon) -from shapely.geometry.base import BaseGeometry +from shapely.geometry import Polygon, Point from geopandas import GeoSeries, GeoDataFrame, base, read_file from geopandas.tests.util import unittest, download_nybb From 52d6c4b9c58e66821cdc9be3d39a8ff8c9af2e39 Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 20:57:49 -0700 Subject: [PATCH 27/31] TST CLN: Whitespace and other import cleanup --- geopandas/tests/test_geodataframe.py | 4 ++-- geopandas/tests/test_geom_methods.py | 1 + geopandas/tests/test_overlay.py | 3 +++ geopandas/tests/test_sindex.py | 1 + geopandas/tools/tests/test_sjoin.py | 3 ++- geopandas/tools/tests/test_tools.py | 10 ++++++---- 6 files changed, 15 insertions(+), 7 deletions(-) diff --git a/geopandas/tests/test_geodataframe.py b/geopandas/tests/test_geodataframe.py index affae3d..2796841 100644 --- a/geopandas/tests/test_geodataframe.py +++ b/geopandas/tests/test_geodataframe.py @@ -12,8 +12,8 @@ from shapely.geometry import Point, Polygon import fiona from geopandas import GeoDataFrame, read_file, GeoSeries -from geopandas.tests.util import unittest, download_nybb, assert_geoseries_equal, \ - connect, create_db, validate_boro_df, PACKAGE_DIR, PANDAS_NEW_SQL_API +from geopandas.tests.util import assert_geoseries_equal, connect, create_db, \ + download_nybb, PACKAGE_DIR, PANDAS_NEW_SQL_API, unittest, validate_boro_df class TestDataFrame(unittest.TestCase): diff --git a/geopandas/tests/test_geom_methods.py b/geopandas/tests/test_geom_methods.py index e747ec4..0bccec3 100644 --- a/geopandas/tests/test_geom_methods.py +++ b/geopandas/tests/test_geom_methods.py @@ -18,6 +18,7 @@ from geopandas.tests.util import ( unittest, geom_equals, geom_almost_equals, assert_geoseries_equal ) + class TestGeomMethods(unittest.TestCase): def setUp(self): diff --git a/geopandas/tests/test_overlay.py b/geopandas/tests/test_overlay.py index f349e1a..0586fac 100644 --- a/geopandas/tests/test_overlay.py +++ b/geopandas/tests/test_overlay.py @@ -1,7 +1,10 @@ from __future__ import absolute_import + import tempfile import shutil + from shapely.geometry import Point + from geopandas import GeoDataFrame, read_file from geopandas.tools import overlay from geopandas.tests.util import unittest, download_nybb diff --git a/geopandas/tests/test_sindex.py b/geopandas/tests/test_sindex.py index 3ad692d..d978d20 100644 --- a/geopandas/tests/test_sindex.py +++ b/geopandas/tests/test_sindex.py @@ -1,4 +1,5 @@ from shapely.geometry import Polygon, Point + from geopandas import GeoSeries, GeoDataFrame, base, read_file from geopandas.tests.util import unittest, download_nybb diff --git a/geopandas/tools/tests/test_sjoin.py b/geopandas/tools/tests/test_sjoin.py index 1cf1f36..c3b85dd 100644 --- a/geopandas/tools/tests/test_sjoin.py +++ b/geopandas/tools/tests/test_sjoin.py @@ -1,7 +1,8 @@ - from __future__ import absolute_import + import tempfile import shutil + import numpy as np from shapely.geometry import Point diff --git a/geopandas/tools/tests/test_tools.py b/geopandas/tools/tests/test_tools.py index 30cad1b..6c73bf9 100644 --- a/geopandas/tools/tests/test_tools.py +++ b/geopandas/tools/tests/test_tools.py @@ -1,18 +1,20 @@ from __future__ import absolute_import + from shapely.geometry import Point, MultiPoint, LineString from geopandas import GeoSeries from geopandas.tools import collect from geopandas.tests.util import unittest + class TestTools(unittest.TestCase): def setUp(self): - self.p1 = Point(0,0) - self.p2 = Point(1,1) - self.p3 = Point(2,2) + self.p1 = Point(0, 0) + self.p2 = Point(1, 1) + self.p3 = Point(2, 2) self.mpc = MultiPoint([self.p1, self.p2, self.p3]) self.mp1 = MultiPoint([self.p1, self.p2]) - self.line1 = LineString([(3,3), (4,4)]) + self.line1 = LineString([(3, 3), (4, 4)]) def test_collect_single(self): result = collect(self.p1) From 182acfa9fc231dc5467566ab2e304fbc0a7d4466 Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 21:05:31 -0700 Subject: [PATCH 28/31] TST CLN: move import and remove whitespace --- geopandas/tests/util.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/geopandas/tests/util.py b/geopandas/tests/util.py index 74c5878..caf0939 100644 --- a/geopandas/tests/util.py +++ b/geopandas/tests/util.py @@ -1,6 +1,8 @@ import io import os.path +import sys import zipfile + from six.moves.urllib.request import urlopen from geopandas import GeoDataFrame, GeoSeries @@ -9,13 +11,11 @@ HERE = os.path.abspath(os.path.dirname(__file__)) PACKAGE_DIR = os.path.dirname(os.path.dirname(HERE)) # Compatibility layer for Python 2.6: try loading unittest2 -import sys if sys.version_info[:2] == (2, 6): try: import unittest2 as unittest except ImportError: import unittest - else: import unittest From a6aafe08c6e65dc42094658ed7912d5e87167f5c Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 21:09:10 -0700 Subject: [PATCH 29/31] TST CLN: Use assert_isinstance from pandas instead of redefining it --- geopandas/tests/util.py | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/geopandas/tests/util.py b/geopandas/tests/util.py index caf0939..51f2f94 100644 --- a/geopandas/tests/util.py +++ b/geopandas/tests/util.py @@ -4,6 +4,7 @@ import sys import zipfile from six.moves.urllib.request import urlopen +from pandas.util.testing import assert_isinstance from geopandas import GeoDataFrame, GeoSeries @@ -163,13 +164,6 @@ def geom_almost_equals(this, that): return (this.geom_almost_equals(that) | (this.is_empty & that.is_empty)).all() -# TODO: Remove me when standardizing on pandas 0.13, which already includes -# this test util. -def assert_isinstance(obj, klass_or_tuple): - assert isinstance(obj, klass_or_tuple), "type: %r != %r" % ( - type(obj).__name__, - getattr(klass_or_tuple, '__name__', - klass_or_tuple)) def assert_geoseries_equal(left, right, check_dtype=False, check_index_type=False, From c2146ceb6d1b0cc5b11845dbb75d2e89ca8b48e5 Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 21:20:27 -0700 Subject: [PATCH 30/31] TST: Run tests on geopandas dir on Travis --- .travis.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index 1881611..3980a09 100644 --- a/.travis.yml +++ b/.travis.yml @@ -78,7 +78,7 @@ install: - if [[ $PANDAS == 'master' ]]; then pip install git+https://github.com/pydata/pandas.git; else pip wheel pandas==$PANDAS; pip install pandas==$PANDAS; fi script: - - py.test tests --cov geopandas -v --cov-report term-missing + - py.test geopandas --cov geopandas -v --cov-report term-missing after_success: - coveralls From c59c6178a371024045f72be1fc466c62376ca409 Mon Sep 17 00:00:00 2001 From: Kelsey Jordahl Date: Tue, 17 Nov 2015 22:08:30 -0700 Subject: [PATCH 31/31] TST: Make the new test directories packages --- geopandas/io/tests/__init__.py | 0 geopandas/tools/tests/__init__.py | 0 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 geopandas/io/tests/__init__.py create mode 100644 geopandas/tools/tests/__init__.py diff --git a/geopandas/io/tests/__init__.py b/geopandas/io/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/geopandas/tools/tests/__init__.py b/geopandas/tools/tests/__init__.py new file mode 100644 index 0000000..e69de29