result_network.ResultReaches

result_network.ResultReaches(self, res1d)

Class for wrapping ResultData reaches.

By itself it is also a dict, which contains mapping between reach name and IRes1DReach object or a list of IRes1DReach objects.

Parameters

Name	Type	Description	Default
res1d	Res1D	Res1D object the reaches belong to.	required

Attributes

Name	Description
derived_quantities	A list of available derived quantities.
group	The TimeSeriesIdGroup associated with these locations.
locations	A list of location objects (e.g. ).
names	A list of location names (e.g. MUIDs).
quantities	A list of available quantities.
res1d	The Res1D instance that these locations belong to.

Methods

Name	Description
read	Read the time series data for all quantities at these locations into a DataFrame.
to_dataframe	Read the time series data for all quantities at these locations into a DataFrame.
to_geopandas	Convert reaches to a geopandas.GeoDataFrame object.

read

result_network.ResultReaches.read(column_mode=None, include_derived=False)

Read the time series data for all quantities at these locations into a DataFrame.

Parameters

Name	Type	Description	Default
column_mode	str(optional)	Specifies the type of column index of returned DataFrame. ‘all’ - column MultiIndex with levels matching TimeSeriesId objects. ‘compact’ - same as ‘all’, but removes levels with default values. ‘timeseries’ - column index of TimeSeriesId objects	None
include_derived	bool	Include derived quantities.	False

Returns

Name	Type	Description
	pd.DataFrame	Time series data of every quantity at these locations.

to_dataframe

result_network.ResultReaches.to_dataframe(
    column_mode=None,
    include_derived=False,
)

Read the time series data for all quantities at these locations into a DataFrame.

Alias for read() method.

Parameters

Name	Type	Description	Default
column_mode	str(optional)	Specifies the type of column index of returned DataFrame. ‘all’ - column MultiIndex with levels matching TimeSeriesId objects. ‘compact’ - same as ‘all’, but removes levels with default values. ‘timeseries’ - column index of TimeSeriesId objects	None
include_derived	bool	Include derived quantities.	False

Returns

Name	Type	Description
	pd.DataFrame	Time series data of every quantity at these locations.

to_geopandas

result_network.ResultReaches.to_geopandas(
    agg=None,
    agg_kwargs=None,
    segmented=True,
    include_derived=False,
)

Convert reaches to a geopandas.GeoDataFrame object.

By default, quantities are not included. To include quantities, use the agg and agg_kwargs parameters.

Parameters

Name	Type	Description	Default
agg	str or callable	Defines how to aggregate the quantities in time and space. Accepts any str or callable that is accepted by pandas.DataFrame.agg.	None

Examples

- 'mean'  : mean value of all quantities
- 'max'   : maximum value of all quantities
-  np.max : maximum value of all quantities

agg_kwargs : dict, default None Aggregation function for specific column levels (e.g. {time=‘min’, chainage=‘first’}). segmented : bool, (default=True) True - one LineString per IRes1DReach object. False - one LineString per reach name. include_derived : bool, default False Include derived quantities.

Returns

Name	Type	Description
gdf	geopandas.GeoDataFrame	A GeoDataFrame object with reaches as LineString geometries.

Examples

Convert reaches to a GeoDataFrame (without quantities)

>>> gdf = res1d.reaches.to_geopandas()

Convert reaches to a GeoDataFrame with aggregated quantities

>>> gdf = res1d.reaches.to_geopandas(agg='mean')