dff91d9a6f
I made a separate filterpy.stats module becuase it made little sense to import filterpy.common for stats functions. This required a lot of changes in the notebooks and supporting code.
51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Created on Tue May 27 21:21:19 2014
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@author: rlabbe
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"""
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import matplotlib.pyplot as plt
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def show_fixed_lag_numberline():
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fig = plt.figure()
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ax = fig.add_subplot(111)
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ax.set_xlim(0,10)
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ax.set_ylim(0,10)
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# draw lines
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xmin = 1
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xmax = 9
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y = 5
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height = 1
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plt.hlines(y, xmin, xmax)
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plt.vlines(xmin, y - height / 2., y + height / 2.)
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plt.vlines(4.5, y - height / 2., y + height / 2.)
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plt.vlines(6, y - height / 2., y + height / 2.)
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plt.vlines(xmax, y - height / 2., y + height / 2.)
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plt.vlines(xmax-1, y - height / 2., y + height / 2.)
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# add numbers
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plt.text(xmin, y-1.1, '$x_0$', fontsize=20, horizontalalignment='center')
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plt.text(xmax, y-1.1, '$x_k$', fontsize=20, horizontalalignment='center')
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plt.text(xmax-1, y-1.1, '$x_{k-1}$', fontsize=20, horizontalalignment='center')
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plt.text(4.5, y-1.1, '$x_{k-N+1}$', fontsize=20, horizontalalignment='center')
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plt.text(6, y-1.1, '$x_{k-N+2}$', fontsize=20, horizontalalignment='center')
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plt.text(2.7, y-1.1, '.....', fontsize=20, horizontalalignment='center')
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plt.text(7.2, y-1.1, '.....', fontsize=20, horizontalalignment='center')
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plt.axis('off')
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plt.show()
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if __name__ == '__main__':
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#show_2d_transform()
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#show_sigma_selections()
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show_sigma_transform(True)
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#show_four_gps()
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#show_sigma_transform()
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#show_sigma_selections()
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