swmm.pandas.Output.subcatch_result

Output.subcatch_result(subcatchment, time, asframe=True)[source]

For a subcatchment at one or more given times, get all attributes.

Only one of subcatchment or time can be multiple (eg. a list), not both.

Parameters
subcatchment: Union[int, str, Sequence[Union[int, str]], None],

The subcatchment(s) name(s) or index(s).

time: Union[int, str, Sequence[Union[int, str]], None],

THe datetime(s) or simulation index(s).

asframe: bool

A switch to return an indexed DataFrame. Set to False to get an array of values only, defaults to True.

Returns
Union[pd.DataFrame,np.ndarray]

A DataFrame or ndarray of all attribute values subcatchment(s) at given time(s).

Examples

Pull all attributes at start, middle, and end time steps for a single catchment

>>> from swmm.pandas import Output,test_out_path
>>> out = Output(test_out_path)
>>> out.subcatch_result("SUB1",[0,out.period/2,out.period-1])
                         rainfall  snow_depth  evap_loss  infil_loss  ...  soil_moisture  groundwater  pol_rainfall  sewage
    datetime                                                          ...
    1900-01-01 00:05:00     0.030         0.0        0.0    0.020820  ...       0.276035          0.0           0.0     0.0
    1900-01-01 12:05:00     1.212         0.0        0.0    0.594862  ...       0.281631          0.0         100.0     0.0
    1900-01-02 00:00:00     0.000         0.0        0.0    0.027270  ...       0.280026          0.0         100.0     0.0
    [3 rows x 11 columns]

Pull all attributes for all catchments at the start of the simulation

>>> from swmm.pandas import Output,test_out_path
>>> out = Output(test_out_path)
>>> out.subcatch_result(out.subcatchments,'1900-01-01')
                  rainfall  snow_depth  evap_loss  infil_loss  ...  soil_moisture  groundwater  pol_rainfall  sewage
    subcatchment                                               ...
    SUB1              0.03         0.0        0.0    0.020820  ...       0.276035          0.0           0.0     0.0
    SUB2              0.03         0.0        0.0    0.017824  ...       0.275048          0.0           0.0     0.0
    SUB3              0.03         0.0        0.0    0.011365  ...       0.279013          0.0           0.0     0.0
    [3 rows x 11 columns]

Last update: Mar 31, 2022