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11 Commits
Author | SHA1 | Date | |
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a0f29de47f | |||
86fb03c792 | |||
846078352b | |||
f1472bf250 | |||
7a39d5a07e | |||
9c58664770 | |||
17cbcc8e79 | |||
cce0cd258d | |||
c20f7c06a7 | |||
22fc9f7c07 | |||
8f1ab5518a |
@ -70,6 +70,8 @@ def main(catalog_file, mc_file, pdf_file, m_file, m_select, mag_label, mc, m_max
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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from matplotlib.ticker import MultipleLocator
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from matplotlib.ticker import MultipleLocator
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from matplotlib.contour import ContourSet
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from matplotlib.contour import ContourSet
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import xml.etree.ElementTree as ET
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import json
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logger = getDefaultLogger('igfash')
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logger = getDefaultLogger('igfash')
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@ -239,6 +241,9 @@ verbose: {verbose}")
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grid_y_max = int(ceil(y_max / grid_dim) * grid_dim)
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grid_y_max = int(ceil(y_max / grid_dim) * grid_dim)
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grid_y_min = int(floor(y_min / grid_dim) * grid_dim)
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grid_y_min = int(floor(y_min / grid_dim) * grid_dim)
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grid_lat_max, grid_lon_max = utm.to_latlon(grid_x_max, grid_y_max, utm_zone_number, utm_zone_letter)
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grid_lat_min, grid_lon_min = utm.to_latlon(grid_x_min, grid_y_min, utm_zone_number, utm_zone_letter)
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# rectangular grid
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# rectangular grid
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nx = int((grid_x_max - grid_x_min) / grid_dim) + 1
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nx = int((grid_x_max - grid_x_min) / grid_dim) + 1
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ny = int((grid_y_max - grid_y_min) / grid_dim) + 1
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ny = int((grid_y_max - grid_y_min) / grid_dim) + 1
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@ -495,9 +500,18 @@ verbose: {verbose}")
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# Save the figure
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# Save the figure
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fig.canvas.draw()
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fig.canvas.draw()
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plt.savefig("overlay_" + str(j) + ".svg", bbox_inches="tight", pad_inches=0, transparent=True)
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overlay_filename = f"overlay_{j}.svg"
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plt.savefig(overlay_filename, bbox_inches="tight", pad_inches=0, transparent=True)
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plt.close(fig)
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plt.close(fig)
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# Embed geographic bounding box into the SVG
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map_bounds = dict(zip(("south", "west", "north", "east"),
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map(float, (grid_lat_min, grid_lon_min, grid_lat_max, grid_lon_max))))
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tree = ET.parse(overlay_filename)
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tree.getroot().set("data-map-bounds", json.dumps(map_bounds))
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tree.write(overlay_filename, encoding="utf-8", xml_declaration=True)
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logger.info(f"Saved geographic bounds to SVG metadata (data-map-bounds): {overlay_filename} → {map_bounds}")
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# Make the color bar
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# Make the color bar
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cmap_name = 'viridis'
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cmap_name = 'viridis'
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width = 50
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width = 50
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