Update src/seismic_hazard_forecasting.py
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@ -500,6 +500,12 @@ verbose: {verbose}")
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mode='reflect', anti_aliasing=False)
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iml_grid_hd[iml_grid_hd == 0.0] = np.nan # change zeroes back to nan
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# trim edges so the grid is not so blocky
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vmin_hd = min(x for x in iml_grid_hd.flatten() if not math.isnan(x))
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vmax_hd = max(x for x in iml_grid_hd.flatten() if not math.isnan(x))
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trim_thresh = vmin
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iml_grid_hd[iml_grid_hd < trim_thresh] = np.nan
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# generate image overlay
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north, south = lat.max(), lat.min() # Latitude range
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east, west = lon.max(), lon.min() # Longitude range
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@ -508,8 +514,10 @@ verbose: {verbose}")
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map_center = [np.mean([north, south]), np.mean([east, west])]
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# Create an image from the grid
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cmap_name = 'viridis'
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cmap = plt.get_cmap(cmap_name)
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fig, ax = plt.subplots(figsize=(6, 6))
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ax.imshow(iml_grid_hd, origin='lower', cmap='viridis')
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ax.imshow(iml_grid_hd, origin='lower', cmap=cmap, vmin=vmin, vmax=vmax)
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ax.axis('off')
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# Save the figure
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@ -518,7 +526,6 @@ verbose: {verbose}")
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plt.close(fig)
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# Make the color bar
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cmap_name = 'viridis'
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width = 50
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height = 500
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@ -528,11 +535,11 @@ verbose: {verbose}")
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fig, ax = plt.subplots(figsize=((width + 40) / 100.0, (height + 20) / 100.0),
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dpi=100) # Increase fig size for labels
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ax.imshow(gradient, aspect='auto', cmap=plt.get_cmap(cmap_name),
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extent=[0, 1, vmin, vmax]) # Note: extent order is different for vertical
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ax.imshow(gradient, aspect='auto', cmap=cmap.reversed(),
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extent=[0, 1, vmin, vmax_hd]) # Note: extent order is different for vertical
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ax.set_xticks([]) # Remove x-ticks for vertical colorbar
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num_ticks = 11 # Show more ticks
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tick_positions = np.linspace(vmin, vmax, num_ticks)
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tick_positions = np.linspace(vmin, vmax_hd, num_ticks)
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ax.set_yticks(tick_positions)
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ax.set_yticklabels([f"{tick:.2f}" for tick in tick_positions]) # format tick labels
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ax.set_title(products[j], pad=15)
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