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.


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


Now check the simulated_volume for New reservoir

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