metobs_toolkit.modeltimeseries.ModelTimeSeries#

class ModelTimeSeries(site, datarecords: ~numpy.ndarray, timestamps: ~numpy.ndarray, obstype: ~metobs_toolkit.obstypes.Obstype, datadtype: type = <class 'numpy.float32'>, timezone: str = 'UTC', modelname: str | None = None, modelvariable: str | None = None)[source]#

Class for model-based timeseries at one location.

Parameters:

site (object) – The site object representing the location.
datarecords (np.ndarray) – Array of data records.
timestamps (np.ndarray) – Array of timestamps corresponding to the data records.
obstype (Obstype) – The observation type.
datadtype (type, optional) – Data type for the records, by default np.float32.
timezone (str, optional) – Timezone for the timestamps, by default “UTC”.
modelname (str, optional) – Name of the model, by default None.
modelvariable (str, optional) – Name of the model variable, by default None.

__init__(site, datarecords: ~numpy.ndarray, timestamps: ~numpy.ndarray, obstype: ~metobs_toolkit.obstypes.Obstype, datadtype: type = <class 'numpy.float32'>, timezone: str = 'UTC', modelname: str | None = None, modelvariable: str | None = None)[source]#

Methods

`__init__`(site, datarecords, timestamps, obstype)
`get_info`([printout])	Print or return information about the ModelTimeSeries.
`make_plot`([linecolor, ax, figkwargs, title])	Create a plot of the model time series.
`to_xr`()	Convert a model time series object to an xarray Dataset.

Attributes

`df`	ModelTimeSeries DataFrame constructor.
`end_datetime`	Return the end datetime of the series.
`freq`	Return the frequency of the series.
`start_datetime`	Return the start datetime of the series.
`stationname`	Return the name of the station this SensorData belongs to.
`tz`	Return the timezone of the stored timestamps.