43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
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import pandas as pd
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from matplotlib import pyplot as plt
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from util import constants as C
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from scipy.stats.mstats import winsorize
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import numpy as np
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import matplotlib.collections as collections
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import seaborn as sb
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import matplotlib
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LABEL = [('SF', 'San Francisco, California, USA'), ('Chicago',
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'Chicago, Illinois, USA'), ('NYC', 'New York City, New York, USA')]
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def plot_coverage():
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plt.figure(figsize=(8, 4))
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font = {'family': 'normal',
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'weight': 'normal',
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'size': 15}
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matplotlib.rc('font', **font)
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T = 60
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COLOR = ['C0', 'C1', 'C2', 'C3', 'C4', 'C5', 'C6', 'C7']
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for i, (name, place) in enumerate(LABEL):
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data = pd.read_csv(
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f"/home/haosheng/dataset/camera/sample/meta_0228/{name}_coverage.csv")
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sb.kdeplot(data.coverage, label=place.split(",")[0], linewidth=2)
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threshold = np.clip(data.coverage, 0, T).mean()
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plt.axvline(x=threshold, linestyle='-.', color=COLOR[i])
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print(f"Average coverage for city {place}: {threshold}")
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plt.xlim([0, 120])
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plt.legend(loc='upper right')
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plt.xlabel("Estimated Road Segment Coverage (meter)")
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plt.ylabel("Probability Density")
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t = np.arange(T, 130, 0.01)
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collection = collections.BrokenBarHCollection.span_where(
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t, ymin=0, ymax=1, where=t > 0, facecolor='gray', alpha=0.15)
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ax = plt.gca()
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ax.add_collection(collection)
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plt.subplots_adjust(bottom=0.2)
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plt.savefig("figures/coverage.png")
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