Reading CSV DataFrame

Go to New Reservoir Release node and change Max Flow to -400, this will allow to flow water through this node

The downloaded file, Thames_Lee_Valley_demand.csv, contains a time series dataset structured with two key columns:

timestep: This column will serve as the index for the time series. It represents the progression of time in the dataset, allowing for chronological organization.

Lee Valley Demand: This column contains the data representing demand values in the Lee Valley.

Thames_Lee_Valley_demand

Select the output node Lee Valley Demand and Edit the Max Flow

In Options select PYWR_PARAMETER

Paste the following configuration:

{
	"type": "DataFrameParameter",
	"url": "Thames_Lee_Valley_demand.csv",
	"column": "Lee Valley Demand",
	"index_col": "timestep",
	"parse_dates": true
}

Now it should look as the following image:

Results

Click on node Lee Valley Demand > Outputs > simulated_flow to see results of the simulation

simulated_flow (Lee Valley Demand)

Now check the simulated_volume for New reservoir

simulated volume (New Reservoir)