add final image smoothing through binlinear interpolation
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		@@ -519,13 +519,17 @@ verbose: {verbose}")
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                dtype=np.float64)  # this reduces values to 8 decimal places
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					                dtype=np.float64)  # this reduces values to 8 decimal places
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            iml_grid_tmp = np.nan_to_num(iml_grid[j])  # change nans to zeroes
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					            iml_grid_tmp = np.nan_to_num(iml_grid[j])  # change nans to zeroes
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            # upscale the grid if there are at least 10 grid values with range greater than 0.1
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					            # upscale the grid, trim, and interpolate if there are at least 10 grid values with range greater than 0.1
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            if np.count_nonzero(iml_grid_tmp) >= 10 and vmax-vmin > 0.1:
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					            if np.count_nonzero(iml_grid_tmp) >= 10 and vmax-vmin > 0.1:
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                up_factor = 4
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					                up_factor = 4
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                iml_grid_hd = resize(iml_grid_tmp, (up_factor * len(iml_grid_tmp), up_factor * len(iml_grid_tmp)),
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					                iml_grid_hd = resize(iml_grid_tmp, (up_factor * len(iml_grid_tmp), up_factor * len(iml_grid_tmp)),
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                                    mode='reflect', anti_aliasing=False)
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					                                    mode='reflect', anti_aliasing=False)
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					                interp_method = 'bilinear'
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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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            else:
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					            else:
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                iml_grid_hd = iml_grid_tmp
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					                iml_grid_hd = iml_grid_tmp
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					                interp_method = 'none'
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            iml_grid_hd[iml_grid_hd == 0.0] = np.nan  # change zeroes back to nan
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					            iml_grid_hd[iml_grid_hd == 0.0] = np.nan  # change zeroes back to nan
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@@ -533,8 +537,8 @@ verbose: {verbose}")
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            vmax_hd = max(x for x in iml_grid_hd.flatten() if not isnan(x))
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					            vmax_hd = max(x for x in iml_grid_hd.flatten() if not isnan(x))
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            # trim edges so the grid is not so blocky
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					            # trim edges so the grid is not so blocky
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            trim_thresh = vmin
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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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					            #iml_grid_hd[iml_grid_hd < trim_thresh] = np.nan
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            # generate image overlay
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					            # generate image overlay
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            north, south = lat.max(), lat.min()  # Latitude range
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					            north, south = lat.max(), lat.min()  # Latitude range
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@@ -547,7 +551,7 @@ verbose: {verbose}")
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            cmap_name = 'YlOrRd'
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					            cmap_name = 'YlOrRd'
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            cmap = plt.get_cmap(cmap_name)
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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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					            fig, ax = plt.subplots(figsize=(6, 6))
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            ax.imshow(iml_grid_hd, origin='lower', cmap=cmap, vmin=vmin, vmax=vmax)
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					            ax.imshow(iml_grid_hd, origin='lower', cmap=cmap, vmin=vmin, vmax=vmax, interpolation=interp_method)
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            ax.axis('off')
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					            ax.axis('off')
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            # Save the figure
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					            # Save the figure
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