39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
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from matplotlib import pyplot as plt
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import seaborn as sb
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import osmnx as ox
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def evaluate_spatial_distribution(df):
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sb.set_style("white")
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G = ox.graph_from_place('San Francisco, California, USA',
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network_type='drive')
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try:
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G = ox.simplify_graph(G)
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except:
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G = G
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f, (ax1, ax2) = plt.subplots(1, 2, figsize=(24,12))
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ox.plot.plot_graph(G,
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ax=ax1,
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bgcolor='white',
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node_color='#696969',
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edge_color="#A9A9A9",
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edge_linewidth=0.8,
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node_size=0,
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save=False,
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show=False)
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ax1.scatter(df.lon_anchor, df.lat_anchor, s=3, c='red', alpha=0.5)
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ax1.scatter(df.lon_pre, df.lat_pre, s=3, c='blue', alpha=0.5)
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ox.plot.plot_graph(G,
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ax=ax2,
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bgcolor='white',
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node_color='#696969',
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edge_color="#A9A9A9",
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edge_linewidth=0.8,
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node_size=0,
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save=False,
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show=False)
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ax2.scatter(df.lon_anchor, df.lat_anchor, s=3, c='red', alpha=0.5)
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ax2.scatter(df.lon_post, df.lat_post, s=3, c='blue', alpha=0.5)
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plt.show()
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