result_network.ResultQuantity

result_network.ResultQuantity(
    self,
    result_location,
    data_item,
    res1d,
    m1d_dataset=None,
    element_index=0,
)

Class for wrapping a single ResultData data item quantity.

ResultQuantity objects are the last attributes assigned to a network. They have the ability to add a query.

Parameters

Name	Type	Description	Default
result_location	ResultLocation	ResultLocation object, which could be node, catchment, grid point, or global data item.	required
data_item		MIKE 1D IDataItem object.	required
res1d	Res1D	Res1D object the quantity belongs to.	required
m1d_dataset		IRes1DDataSet object the quantity is associated with.	None

Attributes

Name	Type	Description
element_index	int	An integer giving an element index into the data item which gives the concrete time series for given location.
timeseries_id	TimeSeriesId	A unique TimeSeriesId object corresponding to the data item. This is unmutable and set when the ResultQuantity is added to a network. A value of None indicates that the ResultQuantity has not been added to a network.

Methods

Name	Description
add	Add a ResultQuantity to ResultNetwork.read_queue based on the data item.
get_data_entry	Get DataEntry corresponding to ResultQuantity.
get_data_entry_net	Get DataEntryNet corresponding to ResultQuantity.
get_query	Get query corresponding to ResultQuantity.
plot	Plot the time series data.
prettify_quantity	Get a pretty string representation of a ResultQuantity’s type and unit.
read	Read the time series data into a data frame.
to_csv	Extract time series data into a csv file.
to_dataframe	Get a time series as a data frame.
to_dfs0	Extract time series data into a dfs0 file.
to_txt	Extract time series data into a txt file.

add

result_network.ResultQuantity.add()

Add a ResultQuantity to ResultNetwork.read_queue based on the data item.

get_data_entry

result_network.ResultQuantity.get_data_entry()

Get DataEntry corresponding to ResultQuantity.

get_data_entry_net

result_network.ResultQuantity.get_data_entry_net()

Get DataEntryNet corresponding to ResultQuantity.

get_query

result_network.ResultQuantity.get_query()

Get query corresponding to ResultQuantity.

plot

result_network.ResultQuantity.plot(ax=None, **kwargs)

Plot the time series data.

Parameters

Name	Type	Description	Default
ax	matplotlib.axes.Axes	Axes object to plot on.	None
**kwargs		Additional keyword arguments passed to pandas.DataFrame.plot.	{}

Returns

Name	Type	Description
	matplotlib.axes.Axes	Axes object with the plot.

prettify_quantity

result_network.ResultQuantity.prettify_quantity(quantity, latex_format=False)

Get a pretty string representation of a ResultQuantity’s type and unit.

Parameters

Name	Type	Description	Default
quantity	ResultQuantity | IQuantity	ResultQuantity object or DHI.Mike1D.Generic.IQuantity object.	required
latex_format		If True, the unit abbreviation will use LaTeX-formatted text.	False

Returns

Name	Type	Description
	str	A string representation of the quantity type and unit.

read

result_network.ResultQuantity.read(column_mode=None)

Read the time series data into a data frame.

Parameters

Name	Type	Description	Default
column_mode	str | ColumnMode(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 ‘str’ - column index of str representations of QueryData objects	None

to_csv

result_network.ResultQuantity.to_csv(file_path, time_step_skipping_number=1)

Extract time series data into a csv file.

to_dataframe

result_network.ResultQuantity.to_dataframe()

Get a time series as a data frame.

to_dfs0

result_network.ResultQuantity.to_dfs0(file_path, time_step_skipping_number=1)

Extract time series data into a dfs0 file.

to_txt

result_network.ResultQuantity.to_txt(file_path, time_step_skipping_number=1)

Extract time series data into a txt file.