DOC: Regenerate sphinx autodoc files and move files to source dir

This commit is contained in:
Kelsey Jordahl
2013-10-22 21:45:21 -04:00
parent 8144a45ed8
commit 5e55a4063f
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About
=====
Coming soon...
.. toctree::
:maxdepth: 2
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# -*- coding: utf-8 -*-
#
# GeoPandas documentation build configuration file, created by
# sphinx-quickstart on Tue Oct 15 08:08:14 2013.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import sys, os
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#sys.path.insert(0, os.path.abspath('.'))
# -- General configuration -----------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = []
# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# The suffix of source filenames.
source_suffix = '.rst'
# The encoding of source files.
#source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
# General information about the project.
project = u'GeoPandas'
copyright = u'2013, Kelsey Jordahl'
# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
d = {}
execfile(os.path.join('..', '..', 'geopandas', 'version.py'), d)
version = release = d['version']
# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
#language = None
# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
#today = ''
# Else, today_fmt is used as the format for a strftime call.
#today_fmt = '%B %d, %Y'
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = []
# The reST default role (used for this markup: `text`) to use for all documents.
#default_role = None
# If true, '()' will be appended to :func: etc. cross-reference text.
#add_function_parentheses = True
# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
#add_module_names = True
# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
#show_authors = False
# The name of the Pygments (syntax highlighting) style to use.
pygments_style = 'sphinx'
# A list of ignored prefixes for module index sorting.
#modindex_common_prefix = []
# -- Options for HTML output ---------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
html_theme = 'nature'
# 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
# documentation.
#html_theme_options = {}
# Add any paths that contain custom themes here, relative to this directory.
#html_theme_path = []
# The name for this set of Sphinx documents. If None, it defaults to
# "<project> v<release> documentation".
#html_title = None
# A shorter title for the navigation bar. Default is the same as html_title.
#html_short_title = None
# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
#html_logo = None
# The name of an image file (within the static path) to use as favicon of the
# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
#html_favicon = None
# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
#html_last_updated_fmt = '%b %d, %Y'
# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
#html_use_smartypants = True
# Custom sidebar templates, maps document names to template names.
#html_sidebars = {}
# Additional templates that should be rendered to pages, maps page names to
# template names.
#html_additional_pages = {}
# If false, no module index is generated.
#html_domain_indices = True
# If false, no index is generated.
#html_use_index = True
# If true, the index is split into individual pages for each letter.
#html_split_index = False
# If true, links to the reST sources are added to the pages.
#html_show_sourcelink = True
# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
#html_show_sphinx = True
# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
#html_show_copyright = True
# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it. The value of this option must be the
# base URL from which the finished HTML is served.
#html_use_opensearch = ''
# This is the file name suffix for HTML files (e.g. ".xhtml").
#html_file_suffix = None
# Output file base name for HTML help builder.
htmlhelp_basename = 'GeoPandasdoc'
# -- Options for LaTeX output --------------------------------------------------
latex_elements = {
# The paper size ('letterpaper' or 'a4paper').
#'papersize': 'letterpaper',
# The font size ('10pt', '11pt' or '12pt').
#'pointsize': '10pt',
# Additional stuff for the LaTeX preamble.
#'preamble': '',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title, author, documentclass [howto/manual]).
latex_documents = [
('index', 'GeoPandas.tex', u'GeoPandas Documentation',
u'Kelsey Jordahl', 'manual'),
]
# The name of an image file (relative to this directory) to place at the top of
# the title page.
#latex_logo = None
# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
#latex_use_parts = False
# If true, show page references after internal links.
#latex_show_pagerefs = False
# If true, show URL addresses after external links.
#latex_show_urls = False
# Documents to append as an appendix to all manuals.
#latex_appendices = []
# If false, no module index is generated.
#latex_domain_indices = True
# -- Options for manual page output --------------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
('index', 'geopandas', u'GeoPandas Documentation',
[u'Kelsey Jordahl'], 1)
]
# If true, show URL addresses after external links.
#man_show_urls = False
# -- Options for Texinfo output ------------------------------------------------
# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
# dir menu entry, description, category)
texinfo_documents = [
('index', 'GeoPandas', u'GeoPandas Documentation',
u'Kelsey Jordahl', 'GeoPandas', 'One line description of project.',
'Miscellaneous'),
]
# Documents to append as an appendix to all manuals.
#texinfo_appendices = []
# If false, no module index is generated.
#texinfo_domain_indices = True
# How to display URL addresses: 'footnote', 'no', or 'inline'.
#texinfo_show_urls = 'footnote'
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GeoPandas
=========
GeoPandas is an open source project to make working with geospatial
data in python easier. GeoPandas extends the datatypes used by
`pandas`_ to allow spatial operations on geometric types. Geometric
operations are performed by `shapely`_. Geopandas further depends on
`fiona`_ for file access and `descartes`_ and `matplotlib`_ for plotting.
.. _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
Description
-----------
The goal of GeoPandas is to make working with geospatial data in
python easier. It combines the capabilities of pandas and shapely,
providing geospatial operations in pandas and a high-level interface
to multiple geometries to shapely. GeoPandas enables you to easily do
operations in python that would otherwise require a spatial database
such as PostGIS.
.. toctree::
:maxdepth: 2
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Installation
============
GeoPandas is pre-alpha software. Please install the latest source
from `GitHub`_ and use the setup script::
python setup.py install
Dependencies
------------
- `numpy`_
- `pandas`_
- `shapely`_
- `fiona`_
- `descartes`_
- `matplotlib`_
Testing
-------
To run the current set of tests from the source directory, run::
nosetests -v
from a command line.
.. _GitHub: https://github.com/kjordahl/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
.. toctree::
:maxdepth: 2
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Documentation
=============
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.
The following Shapely methods and attributes are available on
``GeoSeries`` objects:
.. attribute:: GeoSeries.area
Returns a ``Series`` containing the area of each geometry in the ``GeoSeries``.
.. attribute:: GeoSeries.bounds
Returns a ``DataFrame`` with columns ``minx``, ``miny``, ``maxx``,
``maxy`` values containing the bounds for each geometry.
NOTE: This behavior may change in future versions.
.. attribute:: GeoSeries.length
Returns a ``Series`` containing the length of each geometry.
.. attribute:: GeoSeries.geom_type
Returns a ``Series`` of strings specifying the `Geometry Type` of
each object.
.. method:: GeoSeries.distance(other)
Returns a ``Series`` containing the minimum distance to the `other`
``GeoSeries`` (elementwise) or geometric object.
.. method:: GeoSeries.representative_point()
Returns a ``GeoSeries`` of (cheaply computed) points that are
guaranteed to be within each geometry.
.. attribute:: GeoSeries.exterior
Returns a ``GeoSeries`` of LinearRings representing the outer
boundary of each polygon in the GeoSeries. (Applies to GeoSeries
containing only Polygons).
.. attribute:: GeoSeries.interiors
Returns a ``GeoSeries`` of InteriorRingSequences representing the
inner rings of each polygon in the GeoSeries. (Applies to GeoSeries
containing only Polygons).
`Unary Predicates`
.. attribute:: GeoSeries.is_empty
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` for
empty geometries.
.. attribute:: GeoSeries.is_ring
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` for
features that are closed.
.. attribute:: GeoSeries.is_simple
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` for
geometries that do not cross themselves (meaningful only for
`LineStrings` and `LinearRings`).
.. attribute:: GeoSeries.is_valid
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` for
geometries that are valid.
`Binary Predicates`
.. method:: GeoSeries.almost_equals(other[, decimal=6])
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
each object is approximately equal to the `other` at all
points to specified `decimal` place precision. (See also :meth:`equals`)
.. method:: GeoSeries.contains(other)
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
each object's `interior` contains the `boundary` and
`interior` of the other object and their boundaries do not touch at all.
.. method:: GeoSeries.crosses(other)
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
the `interior` of each object intersects the `interior` of
the other but does not contain it, and the dimension of the intersection is
less than the dimension of the one or the other.
.. method:: GeoSeries.disjoint(other)
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
the `boundary` and `interior` of each object does not
intersect at all with those of the other.
.. method:: GeoSeries.equals(other)
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
if the set-theoretic `boundary`, `interior`, and `exterior`
of each object coincides with those of the other.
.. method:: GeoSeries.intersects(other)
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
if the `boundary` and `interior` of each object intersects in
any way with those of the other.
.. method:: GeoSeries.touches(other)
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
the objects have at least one point in common and their
interiors do not intersect with any part of the other.
.. method:: GeoSeries.within(other)
Returns a ``Series`` of ``dtype('bool')`` with value ``True`` if
each object's `boundary` and `interior` intersect only
with the `interior` of the other (not its `boundary` or `exterior`).
(Inverse of :meth:`contains`)
`Set-theoretic Methods`
.. attribute:: GeoSeries.boundary
Returns a ``GeoSeries`` of lower dimensional objects representing
each geometries's set-theoretic `boundary`.
.. attribute:: GeoSeries.centroid
Returns a ``GeoSeries`` of points for each geometric centroid.
.. 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.
`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.
`Aggregating methods`
.. attribute:: GeoSeries.unary_union
Return a geometry containing the union of all geometries in the ``GeoSeries``.
Additionally, the following methods are implemented:
.. method:: GeoSeries.from_file()
Load a ``GeoSeries`` from a file from any format recognized by
`fiona`_.
.. method:: GeoSeries.to_crs(crs=None, epsg=None)
Transform all geometries in a GeoSeries to a different coordinate
reference system. The ``crs`` attribute on the current GeoSeries
must be set. Either ``crs`` in dictionary form or an EPSG code may
be specified for output.
This method will transform all points in all objects. It has no
notion or projecting entire geometries. All segments 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.
.. method:: GeoSeries.plot(colormap='Set1')
Generate a plot of the geometries in the ``GeoSeries``.
``colormap`` can be any recognized by matplotlib, but discrete
colormaps such as ``Accent``, ``Dark2``, ``Paired``, ``Pastel1``,
``Pastel2``, ``Set1``, ``Set2``, or ``Set3`` are recommended.
Methods of pandas ``Series`` objects are also available, although not
all are applicable to geometric objects and some may return a
``Series`` rather than a ``GeoSeries`` result. The methods
``copy()``, ``align()``, ``isnull()`` and ``fillna()`` have been
implemented specifically for ``GeoSeries`` and are expected to work
correctly.
GeoDataFrame
------------
A ``GeoDataFrame`` is a tablular data structure that contains a column
called ``geometry`` which contains a `GeoSeries``.
Currently only the following methods are implemented for a ``GeoDataFrame``:
.. method:: GeoDataFrame.from_file()
Load a ``GeoDataFrame`` from a file from any format recognized by
`fiona`_.
.. method:: GeoSeries.to_crs(crs=None, epsg=None, inplace=False)
Transform all geometries in the ``geometry`` column of a
GeoDataFrame to a different coordinate reference system. The
``crs`` attribute on the current GeoSeries must be set. Either
``crs`` in dictionary form or an EPSG code may be specified for
output. If ``inplace=True`` the geometry column will be replaced in
the current dataframe, otherwise a new GeoDataFrame will be returned.
This method will transform all points in all objects. It has no
notion or projecting entire geometries. All segments 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.
.. method:: GeoDataFrame.plot()
Generate a plot of the geometries in the ``GeoDataFrame``.
Currently calls ``GeoSeries.plot()`` on the ``geometry`` column,
though in the future this will be able to color the geometries by
data values from another column.
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.
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
.. _file containing the boroughs of New York City: http://www.nyc.gov/html/dcp/download/bytes/nybb_13a.zip
.. toctree::
:maxdepth: 2