More copy edits, updated for filterpy 0.1.2
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@@ -181,8 +181,8 @@ def show_position_prediction_chart():
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plt.xlim([0,5])
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plt.ylim([0,5])
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plt.xlabel("Position")
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plt.ylabel("Time")
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plt.xlabel("X")
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plt.ylabel("Y")
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plt.xticks(np.arange(1,5,1))
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plt.yticks(np.arange(1,5,1))
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@@ -417,27 +417,27 @@ def plot_3_covariances():
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plt.gca().grid(b=False)
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plt.gca().set_xticks([0,1,2,3,4])
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plot_covariance_ellipse((2, 7), cov=P, facecolor='g', alpha=0.2,
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title='|2 0|\n|0 2|', axis_equal=False)
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plt.ylim((4, 10))
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title='|2 0|\n|0 2|', std=[1,2,3], axis_equal=False)
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plt.ylim((0, 15))
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plt.gca().set_aspect('equal', adjustable='box')
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plt.subplot(132)
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plt.gca().grid(b=False)
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plt.gca().set_xticks([0,1,2,3,4])
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P = [[2, 0], [0, 9]]
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plt.ylim((4, 10))
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P = [[2, 0], [0, 6]]
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plt.ylim((0, 15))
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plt.gca().set_aspect('equal', adjustable='box')
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plot_covariance_ellipse((2, 7), P, facecolor='g', alpha=0.2,
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axis_equal=False, title='|2 0|\n|0 9|')
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std=[1,2,3],axis_equal=False, title='|2 0|\n|0 6|')
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plt.subplot(133)
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plt.gca().grid(b=False)
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plt.gca().set_xticks([0,1,2,3,4])
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P = [[2, 1.2], [1.2, 2]]
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plt.ylim((4, 10))
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plt.ylim((0, 15))
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plt.gca().set_aspect('equal', adjustable='box')
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plot_covariance_ellipse((2, 7), P, facecolor='g', alpha=0.2,
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axis_equal=False,
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axis_equal=False,std=[1,2,3],
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title='|2 1.2|\n|1.2 2|')
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plt.tight_layout()
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