SensorData#

The SensorData class stores timeseries data from sensors at a station. It is used for handling, processing, and analyzing observational data.

SensorData objects are usually accessed via the .sensordata attribute of Station or Dataset objects.

Constructor#

SensorData(stationname, datarecords, ...)

Holds data for one station for one sensor.

A summary of all the attributes (and properties) of the SensorData class.

`SensorData.df`	SensorData DataFrame constructor.
`SensorData.outliersdf`	Return a DataFrame of the outlier records.
`SensorData.gapsdf`	Return a DataFrame of the gap records.
`SensorData.stationname`	Return the name of the station this SensorData belongs to.
`SensorData.tz`	Return the timezone of the stored timestamps.
`SensorData.start_datetime`	Return the start datetime of the series.
`SensorData.end_datetime`	Return the end datetime of the series.
`SensorData.freq`	Return the frequency of the series.

A summary of all methods in the SensorData class.

`SensorData.get_info`([printout])	Retrieve and optionally print basic information about the sensor data.
`SensorData.convert_outliers_to_gaps`()	Convert all outliers to gaps.
`SensorData.gap_overview_df`()	Create gap status overview DataFrame with one row per gap period.
`SensorData.resample`(target_freq[, ...])	Resample to a new time resolution.
`SensorData.get_qc_freq_statistics`()	Generate quality control (QC) frequency statistics.
`SensorData.fill_gap_with_modeldata`(...[, ...])	Fill gaps using model data.
`SensorData.interpolate_gaps`([method, ...])	Interpolate gaps in the data.
`SensorData.convert_to_standard_units`()	Convert the data records to the standard units defined in the observation type.
`SensorData.pd_plot`([show_labels])	A wrapper on the pandas.series.plot function for SensorData.
`SensorData.gross_value_check`(**qckwargs)	Perform a gross value check on the series.
`SensorData.persistence_check`(**qckwargs)	Perform a persistence check on the series.
`SensorData.repetitions_check`(**qckwargs)	Perform a repetitions check on the series.
`SensorData.step_check`(**qckwargs)	Perform a step check on the series.
`SensorData.window_variation_check`(**qckwargs)	Perform a window variation check on the series.
`SensorData.to_xr`()	Convert Sensordata (observations, including labels) to an xarray.Dataset.

The SensorData class implements several Python special methods for convenience:

__add__: Combine two SensorData objects, using the ‘other’ for duplicated timestamps. Note that all gaps and outliers are reset!
__eq__: Test equality between two SensorData objects.
__str__ and __repr__: String representations for printing and debugging.
copy: Create a (deep) copy of the Sensordata.