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Exclude nans from increment and persistent error color bars #208

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Exclude nans from increment and persistent error color bars #208

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5 changes: 3 additions & 2 deletions src/anemoi/training/diagnostics/plots.py
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Original file line number Diff line number Diff line change
Expand Up @@ -584,6 +584,7 @@ def error_plot_in_degrees(array1: np.ndarray, array2: np.ndarray) -> np.ndarray:
# For 'errors', only persistence and increments need identical colorbar-limits
combined_error = np.concatenate(((pred - input_), (truth - input_)))
norm = Normalize(vmin=np.nanmin(combined_data), vmax=np.nanmax(combined_data))
norm_error = TwoSlopeNorm(vmin=np.nanmin(combined_error), vcenter=0.0, vmax=np.nanmax(combined_error))
single_plot(fig, ax[1], lon, lat, truth, norm=norm, title=f"{vname} target", datashader=datashader)
single_plot(fig, ax[2], lon, lat, pred, norm=norm, title=f"{vname} pred", datashader=datashader)
single_plot(
Expand Down Expand Up @@ -688,7 +689,7 @@ def error_plot_in_degrees(array1: np.ndarray, array2: np.ndarray) -> np.ndarray:
lat,
pred - input_,
cmap="bwr",
norm=TwoSlopeNorm(vmin=combined_error.min(), vcenter=0.0, vmax=combined_error.max()),
norm=norm_error,
title=f"{vname} increment [pred - input]",
datashader=datashader,
)
Expand All @@ -699,7 +700,7 @@ def error_plot_in_degrees(array1: np.ndarray, array2: np.ndarray) -> np.ndarray:
lat,
truth - input_,
cmap="bwr",
norm=TwoSlopeNorm(vmin=combined_error.min(), vcenter=0.0, vmax=combined_error.max()),
norm=norm_error,
title=f"{vname} persist err",
datashader=datashader,
)
Expand Down
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