fixed plots
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@@ -5,7 +5,6 @@ from pathlib import Path
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import matplotlib.pyplot as plt
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import numpy as np
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from pointcloudset import Dataset
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# define data path containing the bag files
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all_data_path = Path("/home/fedex/mt/data/subter")
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@@ -82,7 +81,7 @@ def plot_data_points(normal_experiment_paths, anomaly_experiment_paths, title):
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plt.figure(figsize=(10, 5))
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plt.hist(missing_points_normal, bins=100, alpha=0.5, label="Normal Experiments")
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plt.hist(missing_points_anomaly, bins=100, alpha=0.5, label="Anomaly Experiments")
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plt.title(title)
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# plt.title(title)
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plt.xlabel("Number of Missing Points")
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plt.ylabel("Number of Pointclouds")
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plt.legend()
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@@ -109,7 +108,7 @@ def plot_data_points(normal_experiment_paths, anomaly_experiment_paths, title):
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label="Anomaly Experiments",
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orientation="horizontal",
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)
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plt.title(title)
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# plt.title(title)
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plt.xlabel("Number of Pointclouds")
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plt.ylabel("Number of Missing Points")
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plt.legend()
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@@ -142,7 +141,7 @@ def plot_data_points(normal_experiment_paths, anomaly_experiment_paths, title):
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label="Anomaly Experiments",
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density=True,
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)
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plt.title(title)
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# plt.title(title)
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plt.xlabel("Number of Missing Points")
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plt.ylabel("Density")
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plt.legend()
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@@ -169,7 +168,7 @@ def plot_data_points(normal_experiment_paths, anomaly_experiment_paths, title):
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label="Anomaly Experiments (With Artifical Smoke)",
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density=True,
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)
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plt.title(title)
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# plt.title(title)
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plt.xlabel("Percentage of Missing Lidar Measurements")
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plt.ylabel("Density")
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# display the x axis as percentages
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@@ -210,7 +209,7 @@ def plot_data_points(normal_experiment_paths, anomaly_experiment_paths, title):
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alpha=0.5,
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label="Anomaly Experiments",
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)
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plt.title(title)
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# plt.title(title)
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plt.xlabel("Number of Missing Points")
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plt.ylabel("Normalized Density")
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plt.legend()
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