Fiona is OGR's neat, nimble, no-nonsense API
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README.rst

Fiona

Fiona is OGR's neat, nimble, no-nonsense API for Python programmers.

https://travis-ci.org/Toblerity/Fiona.png?branch=master https://coveralls.io/repos/Toblerity/Fiona/badge.png

Fiona is designed to be simple and dependable. It focuses on reading and writing data in standard Python IO style and relies upon familiar Python types and protocols such as files, dictionaries, mappings, and iterators instead of classes specific to OGR. Fiona can read and write real-world data using multi-layered GIS formats and zipped virtual file systems and integrates readily with other Python GIS packages such as pyproj, Rtree, and Shapely.

For more details, see:

Usage

Collections

Records are read from and written to file-like Collection objects returned from the fiona.open() function. Records are mappings modeled on the GeoJSON format. They don't have any spatial methods of their own, so if you want to do anything fancy with them you will probably need Shapely or something like it. Here is an example of using Fiona to read some records from one data file, change their geometry attributes, and write them to a new data file.

import fiona

# Register format drivers with a context manager

with fiona.drivers():

    # Open a file for reading. We'll call this the "source."

    with fiona.open('tests/data/coutwildrnp.shp') as source:

        # The file we'll write to, the "sink", must be initialized
        # with a coordinate system, a format driver name, and
        # a record schema.  We can get initial values from the open
        # collection's ``meta`` property and then modify them as
        # desired.

        meta = source.meta
        meta['schema']['geometry'] = 'Point'

        # Open an output file, using the same format driver and
        # coordinate reference system as the source. The ``meta``
        # mapping fills in the keyword parameters of fiona.open().

        with fiona.open('test_write.shp', 'w', **meta) as sink:

            # Process only the records intersecting a box.
            for f in source.filter(bbox=(-107.0, 37.0, -105.0, 39.0)):

                # Get a point on the boundary of the record's
                # geometry.

                f['geometry'] = {
                    'type': 'Point',
                    'coordinates': f['geometry']['coordinates'][0][0]}

                # Write the record out.

                sink.write(f)

    # The sink's contents are flushed to disk and the file is
    # closed when its ``with`` block ends. This effectively
    # executes ``sink.flush(); sink.close()``.

# At the end of the ``with fiona.drivers()`` block, context
# manager exits and all drivers are de-registered.

The fiona.drivers() function and context manager are new in 1.1. The example above shows the way to use it to register and de-register drivers in a deterministic and efficient way. Code written for Fiona 1.0 will continue to work: opened collections may manage the global driver registry if no other manager is present.

Reading Multilayer data

Collections can also be made from single layers within multilayer files or directories of data. The target layer is specified by name or by its integer index within the file or directory. The fiona.listlayers() function provides an index ordered list of layer names.

with fiona.drivers():

    for layername in fiona.listlayers('tests/data'):
        with fiona.open('tests/data', layer=layername) as src:
            print(layername, len(src))

# Output:
# (u'coutwildrnp', 67)

Layer can also be specified by index. In this case, layer=0 and layer='test_uk' specify the same layer in the data file or directory.

with fiona.drivers():

    for i, layername in enumerate(fiona.listlayers('tests/data')):
        with fiona.open('tests/data', layer=i) as src:
            print(i, layername, len(src))

# Output:
# (0, u'coutwildrnp', 67)

Writing Multilayer data

Multilayer data can be written as well. Layers must be specified by name when writing.

with fiona.drivers():

    with open('tests/data/cowildrnp.shp') as src:
        meta = src.meta
        f = next(src)

    with fiona.open('/tmp/foo', 'w', layer='bar', **meta) as dst:
        dst.write(f)

    print(fiona.listlayers('/tmp/foo'))

    with fiona.open('/tmp/foo', layer='bar') as src:
        print(len(src))
        f = next(src)
        print(f['geometry']['type'])
        print(f['properties'])

    # Output:
    # [u'bar']
    # 1
    # Polygon
    # OrderedDict([(u'PERIMETER', 1.22107), (u'FEATURE2', None), (u'NAME', u'Mount Naomi Wilderness'), (u'FEATURE1', u'Wilderness'), (u'URL', u'http://www.wilderness.net/index.cfm?fuse=NWPS&sec=wildView&wname=Mount%20Naomi'), (u'AGBUR', u'FS'), (u'AREA', 0.0179264), (u'STATE_FIPS', u'49'), (u'WILDRNP020', 332), (u'STATE', u'UT')])

A view of the /tmp/foo directory will confirm the creation of the new files.

$ ls /tmp/foo
bar.cpg bar.dbf bar.prj bar.shp bar.shx

Collections from archives and virtual file systems

Zip and Tar archives can be treated as virtual filesystems and Collections can be made from paths and layers within them. In other words, Fiona lets you read and write zipped Shapefiles.

with fiona.drivers():

    for i, layername in enumerate(
            fiona.listlayers(
                '/',
                vfs='zip://tests/data/coutwildrnp.zip')):
        with fiona.open(
                '/',
                vfs='zip://tests/data/coutwildrnp.zip',
                layer=i) as src:
            print(i, layername, len(src))

# Output:
# (0, u'coutwildrnp', 67)

Fiona CLI

Fiona's command line interface, named "fio", is documented at docs/cli.rst. Its fio info pretty prints information about a data file.

$ fio info --indent 2 tests/data/coutwildrnp.shp
{
  "count": 67,
  "crs": "EPSG:4326",
  "driver": "ESRI Shapefile",
  "bounds": [
    -113.56424713134766,
    37.0689811706543,
    -104.97087097167969,
    41.99627685546875
  ],
  "schema": {
    "geometry": "Polygon",
    "properties": {
      "PERIMETER": "float:24.15",
      "FEATURE2": "str:80",
      "NAME": "str:80",
      "FEATURE1": "str:80",
      "URL": "str:101",
      "AGBUR": "str:80",
      "AREA": "float:24.15",
      "STATE_FIPS": "str:80",
      "WILDRNP020": "int:10",
      "STATE": "str:80"
    }
  }
}

Installation

Fiona requires Python 2.6, 2.7, 3.3, or 3.4 and GDAL/OGR 1.8+. To build from a source distribution you will need a C compiler and GDAL and Python development headers and libraries (libgdal1-dev for Debian/Ubuntu, gdal-dev for CentOS/Fedora).

To build from a repository copy, you will also need Cython to build C sources from the project's .pyx files. See the project's requirements-dev.txt file for guidance.

The Kyngchaos GDAL frameworks will satisfy the GDAL/OGR dependency for OS X, as will Homebrew's GDAL Formula (brew install gdal).

Python Requirements

Fiona depends on the modules six, cligj, munch, argparse, and ordereddict (the two latter modules are standard in Python 2.7+). Pip will fetch these requirements for you, but users installing Fiona from a Windows installer must get them separately.

Unix-like systems

Assuming you're using a virtualenv (if not, skip to the 4th command) and GDAL/OGR libraries, headers, and gdal-config program are installed to well known locations on your system via your system's package manager (brew install gdal using Homebrew on OS X), installation is this simple.

$ mkdir fiona_env
$ virtualenv fiona_env
$ source fiona_env/bin/activate
(fiona_env)$ pip install fiona

If gdal-config is not available or if GDAL/OGR headers and libs aren't installed to a well known location, you must set include dirs, library dirs, and libraries options via the setup.cfg file or setup command line as shown below (using git). You must also specify the major version of the GDAL API (1 or 2) on the setup command line.

(fiona_env)$ git clone git://github.com/Toblerity/Fiona.git
(fiona_env)$ cd Fiona
(fiona_env)$ python setup.py build_ext -I/path/to/gdal/include -L/path/to/gdal/lib -lgdal install --gdalversion 1

Or specify that build options and GDAL API version should be provided by a particular gdal-config program.

(fiona_env)$ GDAL_CONFIG=/path/to/gdal-config pip install fiona

Windows

Binary installers are available at http://www.lfd.uci.edu/~gohlke/pythonlibs/#fiona and coming eventually to PyPI.

You can download a binary distribution of GDAL from here. You will also need to download the compiled libraries and headers (include files).

When building from source on Windows, it is important to know that setup.py cannot rely on gdal-config, which is only present on UNIX systems, to discover the locations of header files and libraries that Fiona needs to compile its C extensions. On Windows, these paths need to be provided by the user. You will need to find the include files and the library files for gdal and use setup.py as follows. You must also specify the major version of the GDAL API (1 or 2) on the setup command line.

$ python setup.py build_ext -I<path to gdal include files> -lgdal_i -L<path to gdal library> install --gdalversion 1

Note: The GDAL dll (gdal111.dll) and gdal-data directory need to be in your Windows PATH otherwise Fiona will fail to work.

Development and testing

Building from the source requires Cython. Tests require Nose. If the GDAL/OGR libraries, headers, and gdal-config program are installed to well known locations on your system (via your system's package manager), you can do this:

(fiona_env)$ git clone git://github.com/Toblerity/Fiona.git
(fiona_env)$ cd Fiona
(fiona_env)$ pip install cython
(fiona_env)$ pip install -e .[test]
(fiona_env)$ nosetests

Or you can use the pep-518-install script:

(fiona_env)$ git clone git://github.com/Toblerity/Fiona.git
(fiona_env)$ cd Fiona
(fiona_env)$ ./pep-518-install

If you have a non-standard environment, you'll need to specify the include and lib dirs and GDAL library on the command line:

(fiona_env)$ python setup.py build_ext -I/path/to/gdal/include -L/path/to/gdal/lib -lgdal --gdalversion 2 develop
(fiona_env)$ nosetests