Metadata-Version: 2.1
Name: threedigrid
Version: 0.2.5
Summary: Python package for the threedigrid administration
Home-page: https://github.com/nens/threedigrid
Author: Lars Claussen
Author-email: lars.claussen@nelen-schuurmans.nl
License: BSD license
Description: Threedigrid: The 3Di grid admin framework
        =========================================
        
        The Python package for the threedigrid administration.
        
        
        .. image:: https://travis-ci.org/nens/threedigrid.svg?branch=master
                :target: https://travis-ci.org/larsclaussen/threedigrid
        
        
        .. image:: https://readthedocs.org/projects/threedigrid/badge/?version=latest
                :target: https://threedigrid.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        
        
        * Free software: BSD license
        * Documentation: https://threedigrid.readthedocs.io.
        
        Overview
        ========
        
        Features
        --------
         - access to the threedicore administration by a single instance of the ``GridH5Admin`` object
         - query the model data by pre-defined subsets and django style filters
         - export model data to gis formats like shapefile, geopackage
         - serialize model data as geojson
        
        
        Quick start
        -----------
        
        The standard threedigrid distribution is pretty lightweight, installing as little dependencies
        as possible. If you want to make use of all capabilities threedigrid has to ofter (e.g. spatial
        operations and command line tools) install like this::
        
            $ pip install threedigrid[geo]
        
        
        Console scripts
        +++++++++++++++
        
        Using the 3digrid_explore shortcut, simply run::
        
            $ 3digrid_explore --grid-file=<path to grid file> --ipy
        
        This will invoke an ipython session with a ``GridH5Admin`` instance already loaded.
        
        To get a quick overview of the threedimodels meta data omit the ``--ipy`` option or
        explicitly run::
        
            $ 3digrid_explore --grid-file=<the to grid file> --no-ipy
        
        This will give you output like this::
        
            Overview of model specifics:
        
            model slug:              v2_bergermeer-v2_bergermeer_bres_maalstop-58-b1f8179f1f3c2333adb08c9e6933fa7b9a8cd163
            threedicore version:     0-20180315-3578e9b-1
            threedi version:         1.63.dev0
            has 1d:                  True
            has 2d:                  True
            has groundwater:         True
            has levees:              True
            has breaches:            True
            has pumpstations:        True
        
        
        (I)Python shell
        +++++++++++++++
        Get a grid admin instance::
        
            from threedigrid.admin.gridadmin import GridH5Admin
        
            f = 'gridadmin.h5'
            ga = GridH5Admin(f)
        
        
        The grid admin directly holds some model specific attributes like whether the model has a 1D or 2D
        or groundwater section::
        
            In [4]: ga.has_groundwater
            Out[4]: False
        
            In [5]: ga.has_1d
            Out[5]: True
        
        
        
        There are different types of filters but a filter, generally speaking, acts on field. That means you can
        filter by value. If you have a line model instance you can filter the data by the kcu field::
        
            ga.lines.filter(kcu__in=[100,102])
        
        or by the lik value::
        
            ga.lines.filter(lik__eq=4)
        
        The filtering is lazy, that is, to retrieve data you have to call data explicitly::
        
            ga.lines.filter(lik__eq=4).data  # will return an ordered dict
        
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
        
        
        History
        =======
        
        0.2.5 (2018-05-16)
        ------------------
        
        - Use the custom ``NumpyEncoder`` to convert specific numpy types to native
          python types when calling ``(geo-)json.dumps()``.
        
        
        0.2.4 (2018-05-15)
        ------------------
        
        - Introducing subset fields that can be used to query results that are collected
          only for subsets of the model, like the 2D section.
        
        
        0.2.3 (2018-05-14)
        ------------------
        
        - Fix lookup_index functionality for composite fields.
        
        - Make model name property optional. That is, 'unknown' will be returned if the
          name cannot be derived.
        
        - Changed Depth/width fields on breach-timeseries to breach_depth and breach_width.
        
        0.2.2 (2018-04-30)
        ------------------
        
        - ``_get_composite_meta()`` does not raise an AssertionError anymore if
          composite field attributes differ. Instead a warning is issued.
        
        
        0.2.1 (2018-04-26)
        ------------------
        
        - Bug fix: ``threedicore_result_version`` must be a property.
        
        
        0.2 (2018-04-26)
        ----------------
        
        - Added additional exporters for
        
            - 2D_GROUNDWATER
            - 2D_OPEN_WATER
            - 2D_VERTICAL_INFILTRATION
        
        - Added method ``get_model_instance_by_field_name``  to the
          ``GridH5ResultAdmin`` class. This makes it possible to do reverse lookups
          in situations where you have a field name but do not know which model it
          belongs to. N.B the field must be unique otherwise an ``IndexError`` will
          be raised.
        
        - Added property ``dt_timestamps`` to the timeseries_mixin module.
        
        - The version number is added to the ``__init__`` file dynamically using the
          ``pkg_resources`` API.
        
        - Timestamps of all timeseries fields are shown for aggregation results.
        
        - Timestamps in the aggregation results are filtered when retrieving subsets of timeseries.
        
        - Introducing the ModelMeta class. Its main purpose at this moment is to compute all
          possible combinations of composite_fields and aggregation variables.
        
        - Fixed return statement of method slice (in class Model) which now takes
          ``**new_class_kwargs``.
        
        - Empty or missing datasets are now displayed as ``np.array(None)`` instead of
          raising an error.
        
        0.1.6 (2018-04-18)
        ------------------
        
        - New release using twine 1.11.
        
        
        0.1.5 (2018-04-18)
        ------------------
        
        - Added support for composite fields which can be used to fetch data from
          multiple source variables as a single field. Like this
          result_3di netcdfs can be queried the same way as gridadmin files.
        
        0.1.4 (2018-04-08)
        ------------------
        
        - Changed ResultMixin to dynamically add attributes based on the netcdf
          variables.
        
        - Added basic result proccesing for line/node data.
        
        - The filter mask is computed only for array's affected and
          before applying it to all array's
        
        - The 'only' filter works much faster because the filter mask
          is only applied on fields that are affected.
        
        - The filter mask is cached on the line/node instance after getting
          the first value. You can thus do something like:
        
              queryset = gridadmin.lines.filter(kcu=2)
              ids = queryset.id
              line_coords = queryset.line_coords
        
          and the filter mask will only be computed once.
        
        - Add click console scripts ``3digrid_explore`` and ``3digrid_export`` for
          quick overviews and data exports.
        
        - Make ogr/gdal imports optional to avoid breaking parts of the documentation.
        
        - Added documentation and setup for ``sphinx`` documentation pipeline.
        
        - Use linear referencing for embedded channels to keep the original geometry
          intact when preparing line geometries for visualisation.
        
        - Define extra's to make the standard threedigrid distribution as
          lightweight as possible.
        
        - Convert strings in ``attrs`` to ``numpy.string_`` to fix crashes under
          Windows.
        
        0.1.3 (2018-03-16)
        ------------------
        
        - Remove property ``has_groundwater`` from ``GridH5Admin``.
          Should always be provided by the threedicore itself. Gives a warning for
          backwards compatibility.
        
        
        0.1.2 (2018-03-12)
        ------------------
        
        - Get model extent now always returns a bbox (minX, minY, maxX, maxY)
        
        0.1.1 (2018-03-06)
        ------------------
        
        - All imports are absolute.
        
        - Added install info using pip.
        
        
        0.1.0 (2018-03-05)
        ------------------
        
        * First release with fullrelease.
        
Keywords: threedigrid
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering
Provides-Extra: geo
Provides-Extra: results
