arctichoke.plot.trend_in_time_map

Functions

make_trend_map(this_source_id, this_var, ...[, ...])

Plot the trends of the given data on a map.

Module Contents

arctichoke.plot.trend_in_time_map.make_trend_map(this_source_id: str, this_var: str, this_variant_label: str, this_modification: str, mask_where_zero_across_time: bool = True, map_projection: str = 'Orthographic', verbose: bool = False)

Plot the trends of the given data on a map.

For each grid cell in the dataset, calculate the yearly sum, then find the trend in time for the given variable and plot it on a map.

Parameters:

  • this_source_id (str) – The source ID of the model to plot. Example: ‘EC-Earth3P-HR’.

  • this_var (str) – The variable ID of the variable to plot. Example: ‘silandfast’.

  • this_variant_label (str) – The variant label of the model to plot. Example: ‘r1i1p2f1’.

  • this_modification (str) – The modification of the data to plot. Example: ‘trim_CAA_’.

  • verbose (bool, optional) – Whether to verbosely output information as the function executes. Default is False.

Returns:

sum_year_map – The map of the trends in time for the given variable.

Return type:

holoviews.core.overlay.Overlay

Examples

>>> from arctichoke.plot import make_trend_map
>>> make_trend_map(
>>>     this_source_id = 'EC-Earth3P-HR',
>>>     this_var = 'silandfast',
>>>     this_variant_label = 'r1i1p2f1',
>>>     this_modification = 'trim_CAA_',
>>>     verbose = True,
>>> )