climpred.utils.convert_init_lead_to_valid_time_lead

climpred.utils.convert_init_lead_to_valid_time_lead(skill: Dataset | DataArray) → Dataset | DataArray

Convert data(init,lead) to data(valid_time,lead) visualizing predict barrier.

Parameters:

skill with dimensions init and lead and coordinate valid_time (init, lead)

Returns:

skill with dimensions valid_time and lead

Examples

Calculate skill at each init, i.e. do not reduce init and set dim=[].

>>> skill_init_lead = HindcastEnsemble.sel(
...     lead=[1, 2, 3], init=slice("1990", "2000")
... ).verify(metric="rmse", comparison="e2o", dim=[], alignment="same_verifs")
>>> skill_init_lead.SST
<xarray.DataArray 'SST' (lead: 3, init: 11)>
array([[       nan,        nan, 0.07668081, 0.06826989, 0.08174487,
        0.06208846, 0.1537402 , 0.15632479, 0.01302786, 0.06343324,
        0.13758603],
       [       nan, 0.07732193, 0.06369554, 0.08282175, 0.0761979 ,
        0.20424354, 0.18043845, 0.06553673, 0.00906034, 0.13045045,
               nan],
       [0.06212777, 0.11822992, 0.15282457, 0.05752934, 0.20133476,
        0.19931679, 0.00987793, 0.06375334, 0.07705835,        nan,
               nan]])
Coordinates:
  * init        (init) object 1990-01-01 00:00:00 ... 2000-01-01 00:00:00
  * lead        (lead) int32 1 2 3
    valid_time  (lead, init) object 1991-01-01 00:00:00 ... 2003-01-01 00:00:00
    skill       <U11 'initialized'
Attributes:
    units:    C
>>> climpred.utils.convert_init_lead_to_valid_time_lead(skill_init_lead).SST
<xarray.DataArray 'SST' (lead: 3, valid_time: 9)>
array([[0.07668081, 0.06826989, 0.08174487, 0.06208846, 0.1537402 ,
        0.15632479, 0.01302786, 0.06343324, 0.13758603],
       [0.07732193, 0.06369554, 0.08282175, 0.0761979 , 0.20424354,
        0.18043845, 0.06553673, 0.00906034, 0.13045045],
       [0.06212777, 0.11822992, 0.15282457, 0.05752934, 0.20133476,
        0.19931679, 0.00987793, 0.06375334, 0.07705835]])
Coordinates:
  * valid_time  (valid_time) object 1993-01-01 00:00:00 ... 2001-01-01 00:00:00
  * lead        (lead) int32 1 2 3
    skill       <U11 'initialized'
    init        (lead, valid_time) object 1992-01-01 00:00:00 ... 1998-01-01 ...
Attributes:
    units:    C

See also

pydata/xarray#6943 climpred.utils.convert_valid_time_lead_to_init_lead()