diagnostic.functions.time_series_trend

time_series_trend(ds: Dataset, window_size, min_periods: int = None, center: bool = True, **window_kwargs)

Calculate the trend of the time series data. If lat and lon are present, the data is averaged over the spatial dimensions lat and lon.

Parameters:

• ds (xr.Dataset) – The data to calculate the trend of.

• window_size (int) – The size - in number of time steps - of the window to use for the rolling average.

• min_periods (int, optional) – The minimum number of periods required for a value to be considered valid, by default None

• center (bool, optional) – If True, the value is placed in the center of the window, by default True

Returns:

The trend of the data.

Return type:

xr.Dataset