PointModelResult

PointModelResult(
    self,
    data,
    *,
    name=None,
    x=None,
    y=None,
    z=None,
    item=None,
    quantity=None,
    aux_items=None,
)

Model result for a single point location.

Construct a PointModelResult from a 0d data source: dfs0 file, mikeio.Dataset/DataArray, pandas.DataFrame/Series or xarray.Dataset/DataArray

Parameters

Name	Type	Description	Default
data	(str, Path, mikeio.Dataset, mikeio.DataArray, pd.DataFrame, pd.Series, xr.Dataset or xr.DataArray)	filename (.dfs0 or .nc) or object with the data	required
name	Optional[str]	The name of the model result, by default None (will be set to file name or item name)	None
x	float	first coordinate of point position, inferred from data if not given, else None	None
y	float	second coordinate of point position, inferred from data if not given, else None	None
z	float	third coordinate of point position, inferred from data if not given, else None	None
item	str | int | None	If multiple items/arrays are present in the input an item must be given (as either an index or a string), by default None	None
quantity	Quantity	Model quantity, for MIKE files this is inferred from the EUM information	None
aux_items	Optional[list[int | str]]	Auxiliary items, by default None	None

Attributes

Name	Description
gtype	Geometry type
n_points	Number of data points
name	Name of time series (value item name)
plot	Plot using the ComparerPlotter
quantity	Quantity of time series
time	Time index
values	Values as numpy array
x	x-coordinate
y	y-coordinate

Methods

Name	Description
equals	Check if two TimeSeries are equal
interp_time	Interpolate model result to the time of the observation
sel	Select data by label
to_dataframe	Convert matched data to pandas DataFrame
trim	Trim observation data to a given time interval

equals

PointModelResult.equals(other)

Check if two TimeSeries are equal

interp_time

PointModelResult.interp_time(observation, **kwargs)

Interpolate model result to the time of the observation

wrapper around xarray.Dataset.interp()

Parameters

Name	Type	Description	Default
observation	Observation	The observation to interpolate to	required
**kwargs	Any	Additional keyword arguments passed to xarray.interp	{}

Returns

Name	Type	Description
	PointModelResult	Interpolated model result

sel

PointModelResult.sel(**kwargs)

Select data by label

to_dataframe

PointModelResult.to_dataframe()

Convert matched data to pandas DataFrame

Include x, y coordinates only if gtype=track

Returns

Name	Type	Description
	pd.DataFrame	data as a pandas DataFrame

trim

PointModelResult.trim(start_time=None, end_time=None, buffer='1s')

Trim observation data to a given time interval

Parameters

Name	Type	Description	Default
start_time	pd.Timestamp	start time	None
end_time	pd.Timestamp	end time	None
buffer	str	buffer time around start and end time, by default “1s”	'1s'